A Strategic Framework for Biodiversity Conservation Report B: For practitioners of conservation planning Copyright text 2012 Southwest Australia Ecoregion Initiative. All rights reserved.
Author: Danielle Witham, WWF-Australia
First published: 2012 by the Southwest Australia Ecoregion Initiative.
Any reproduction in full or in part of this publication must mention the title and credit the above-mentioned publisher as the copyright
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For copies of this document, please contact SWAEI Secretariat, PO Box 4010, Wembley, Western Australia 6913. This document is also available from the SWAEI website at http://www.swaecoregion.org
setting the context i
Contents
EXECUTIVE SUMMARY 1 ACKNOWLEDGEMENTS 2 SETTING THE CONTEXT 3 The Southwest Australia Ecoregion Initiative SUMMARY OF THE PROJECT METHODOLOGY 5 STEP 1. IDENTIFYING RELEVANT STAKEHOLDERS AND CLARIFYING ROLES 7 Expert engagement STEP 2. DEFINING PROJECT BOUNDARY 9 The boundary of the Southwest Australia Ecoregion STEP 3. APPLYING PLANNING UNITS TO PROJECT AREA 11 STEP 4. PREPARING AND CHOOSING SOFTWARE 13 Data identification 13 Conservation planning software 14 STEP 5. IDENTIFYING CONSERVATION FEATURES 16 Choosing conservation features 16 Fauna conservation features 17 Flora conservation features 21 Inland water body conservation features 22 Inland water species conservation features 27 Other conservation features 27 Threatened and Priority Ecological communities (TECs and PECs) 31 Vegetation conservation features 32 Vegetation connectivity 36 STEP 6. APPLYING CONSERVATION FEATURES TO PLANNING UNITS 38 STEP 7. SETTING TARGETS 40 Target formulae 40 Special formulae 42 STEP 8. IDENTIFYING AND DEFINING LOCK-INS 45 STEP 9. INTRODUCING A COST LAYER 49 Cost layer 49 Threats 49 Including threats in the analysis 56 Land classification 57 Assigning costs 63 Data gaps and limitations in the analysis 66 STEP 10. RUNNING SCENARIOS 68 Input parameters 68 Scenarios 69 Calibration 70 Preparing the outputs 71 ii
RESULTS 74 Scenario 4 74 Example of how to use analysis 80 DISCUSSION 82 Where to from here? 82 GLOSSARY 83 ACRONYMS 85 REFERENCES 87 APPENDICES 87 Appendix 1. Scenarios 1 to 3 87 Appendix 2. Datasets used for the SWAEI project 91 Appendix 3. Data sources 101 Appendix 4. Conservation feature list, showing targets 104
list of tables
Table 1. Conservation features by asset class 17 Table 2. Stratified subspecies fauna taxa 19 Table 3. Data hierarchy for granite outcrops 29 Table 4. Categories of TECs and PECs 31 Table 5. Breakdown of remnant vegetation by IBRA region 34 Table 6. Breakdown of vegetation types by IBRA region 35 Table 7. Methods for applying conservation features to planning units 38 Table 8. Inland water body conservation target values 43 Table 9. TEC and PEC conservation targets 44 Table 10. IUCN categories (Dudley, 2008) 45 Table 11. DEC-managed lands and waters categories 46 Table 12. Tenure categories 58 Table 13. Amount of area for each tenure classification in the Southwest Australia Ecoregion 60 Table 14. Cost matrix used to create cost layer in analysis 63 Table 15. Cost values from the cost matrix 63 Table 16. Marxan input data parameters 69 Table 17. Four scenarios and parameters 69 Table 18. Marxan BLM calibration results for Scenario 4 70 Table 19. SPF calibrations for all scenarios and un-met targets for conservation features 71 Table 20. Parameters of Scenario 4 74 Table 21. Area represented across IBRA bioregions (Scenario 4) 76 Table 22. Conservation feature summary statistics 77 Table 23. Conservation targets not met in the ZCAs 79 Table 24. Conservation features found within the ACA and their contribution to meeting regional-scale targets 81 1
Executive Summary
The Southwest Australia Ecoregion (SWAE) is an Technical Report B: For practitioners of conservation internationally recognised biodiversity hotspot that covers planning represents the culmination of this two-year project nearly 700,000 square kilometres. It is high in biodiversity and is a supplementary report to A Strategic Framework for values and endemism but many of these natural values are Biodiversity Conservation Report A: For decision-makers highly threatened. Species and ecological communities are and practitioners. This report describes the systematic at risk from current and historical land-use, Phytophthora conservation planning process and provides guidance on how dieback, salinity, feral animal predation and weed invasion. to interpret and implement the results. Over the past 30 years, a range of federal, state and local Systematic conservation planning is a complex process. Decisions government, and community initiatives have sought to address and trade-offs are made to balance veracity with timely delivery. such threats, yet biodiversity loss continues. As such, the role of Technical Report B: For practitioners of The Southwest Australia Ecoregion Initiative (SWAEI) is a conservation planning is to guide those choosing to undertake a consortium of representatives from local, state and federal systematic conservation planning process. governments, environmental non-government organisations and natural resource management (NRM) groups concerned about the ad hoc nature of biodiversity planning and Dermot O’Gorman management initiatives. The consortium has undertaken an CEO WWF-Australia extensive systematic conservation planning project that aims to identify highly prioritised areas, or Zones for Conservation Action (ZCA). This project delivers a coordinated, strategic planning framework for the conservation of biodiversity in the south-west of Australia. It is based on scientific principles, informed by experts, and has been developed using methods that are widely used and easy to interpret. South West Australian Ecoregion initiative 2
Acknowledgements
This report recognises the valuable contribution that many Ms. Justine Lawn, Dr. Craig Lawrence, Ms. Louise Leigh, Mr. committed individuals and organisations have made to the Mike Lyons, Prof. Jonathan Majer, Mr. Michael Manton, Mrs. SWAEI over many years. Their expertise, guidance, general Katina Marchbank, Mrs. Danielle Matthews, Dr. Peter Mawson, assistance and advice has been critical to the systematic Ms. Cheryl-Anne McCann, Mr. Norm McKenzie, Ms. Helena conservation planning process, however, this report may not Mills, Dr. Melinda Moir, Ms. Sophie Moller, Mr. Rod Nowrojee, fully reflect their views. Dr. Blair Parsons, Mrs. Patricia Pedelty, Dr. Adrian Pinder, Asst/Prof. Pieter Poot, Dr. Suzanne Prober, Mr. Viv Read, Members of the SWAEI Working Group: Dr. Ken Atkins (chair), Mr. Jeff Richardson, Mr. Neil Riches, Prof. Dale Roberts, Dr. Dr. Geoff Barrett, Mr. Paul Bowers, Mr. Paul Gamblin (chair), Richard Robinson, Mr. Rod Safstrom, Dr. Erica Shedley, Mr. Mr. Hamish Jolly, Mrs. Katina Marchbank, Mr. Neil Riches, Mr. Damian Shepherd, Mr. Marcus Singor, Mr. Simon Smale, Mrs. Rod Safstrom, Mrs. Linda Soteriou and Mrs. Renata Zelinova. Melanie Smith, Mr. Dave Stapleton, Ms. Bernadette Streppel, Members of the Stakeholder Reference Group: A/Prof. John Prof. Will Stock, Dr. Tim Storer, Mr. Bradley Tapping, Mr. Bailey, Mr. Mark Batty, Mr. Justin Bellanger, Ms. Danielle Berry, Deon Utber, Mrs. Emma Van Looij, Dr. Ryan Vogwill, Mr. Ken Ms. Vanessa Bray, Mr. Alan Briggs, Mr. Leon Brouwer, Dr. Allan Wallace, A/Prof. Grant Wardell-Johnson, Mr. Corey Whisson, Burbidge, Prof. Michael Burton, Ms. Jessica Chapman, Mr. John Dr. Matthew Williams, Mrs. Rachel Williams, Dr. Colin Yates Collins, Ms. Sharon Colliss, Mr. Mark Cowan, Mr. Cameron and Mrs. Renata Zelinova. Crowe, Dr. Robert Davis, Ms. Paula Deegan, Mr. Phil Drayson, Members of the Conservation Planning Team: Dr. Geoff Barrett Dr. Frances D’Souza, Mr. Alex Errington, Dr. Stuart Halse, Mr. (chair), Prof. Bob Pressey FAA, Dr. Trevor Ward and Ms. Danielle Charles Hammond, Mr. Alan Hill, Prof. Richard Hobbs, Dr. Ric Witham. How, Ms. Carol Innes, Mr. Greg Keighrey, Mr. Glen Kelly, Ms. Annora Longhurst, Mr. Mike Lyons, Prof. Jonathan Majer, Ms. Project Manager: Ms. Danielle Witham Lisa Mazzella, Dr. Abbie McCartney, Mr. Ben Miller, Ms. Hellene Technical Analysis: Gaia Resources McTaggart, Ms. Sue Middleton, Dr. Melinda Moir, Ms. Sophie Moller, A/Prof. Sue Moore, Mrs. Rebecca Palumbo, Ms. Heather The author thanks the countless other professional people who Percy, Mr. Bob Pond, Dr. Suzanne Prober, Mr. Martin Rayner, provided occasional advice in their field of expertise and the data Prof. Dale Roberts, Dr. Rom Stewart, Dr. Kevin Thiele, Ms. custodians who assisted greatly in supplying and interpreting Lindy Twycross, Mr. Deon Utber, Mr. Martin Von Kaschke, Mr. the data. Ken Wallace, Ms. Bronwyn Williams, Mrs. Rachel Williams, Mr. Additional thanks to Prof. Bob Pressey FAA, Mr. Piers Higgs, Ray Wilson and Dr. Colin Yates. Mrs. Mel McVee, Ms. Grit Schuster and Dr. Trevor Ward for Workshop participants and expert advisors: Dr. Ken Atkins, contributing to or editing this report. Dr. Mike Bamford, Mr. Geoffrey Banks, Dr. Geoff Barrett, Special thanks to Mrs. Cheryl Gole, Ms. Jane Madgwick and Ms. Alison Beard, Mr. Brett Beecham, Mr. Toumi Belouardi, Mr. Richard McLellan from WWF-Australia, who played Mr. Karl Bossard, Ms. Mieke Bourne, Mr. Michael Braby, Ms. a considerable role in establishing the SWAEI; Mr. David Vanessa Bray, Mr. Michael Brooker, Dr. Allan Burbidge, Dr. McFarlane from WWF-Australia, who provided administrative Andrew Burbidge, Ms. Annabelle Bushell, Dr. Margaret Byrne, support for the conservation planning project; and to the Mr. Matt Cavana, Mrs. Karen Clarke, Ms. Sharon Colliss, A/ Canberra-based Australian Government representatives for Prof. Arthur Conacher, Dr. Michael Coote, Mr. Mark Cowan, Dr. their interest in and support for this process. Mike Craig, Mr. Cameron Crowe, Mr. Chris Curnow, Dr. Stephen Davies, Dr. Robert Davis, Mr. Will De Milliano, Prof. Kingsley Dixon, Mr. Rob Doria, Dr. Paul Doughty, Dr. Frances D’Souza, Dr. Chris Dunne, Dr. Stefan Eberhard, Ms. Val English, Mr. Alex Errington, Dr. Judith Fisher, Ms. Vanessa Forbes, Dr. Volker Framenau, Mrs. Debora Freitas, Mr. Paul Gamblin, Mr. Paul Gioia, Mr. Brett Glossop, Mrs. Cheryl Gole, Mrs. Cate Gustavsson, Dr. Stuart Halse, Ms. Judith Harvey, Dr. Mark Harvey, Dr. Brian Heterick, Mr. Angus Hopkins, Dr. Terry Houston, Ms. Katherine Howard, Mr. Ron Johnstone, Ms. Anthea Jones, Ms. Susan Jones, Mr. John Kaye, Ms. Amanda Keesing, Mr. Greg Keighery, Mr. David Knowles, Ms. Alisa Krasnostein, Dr. Rob Lambeck, setting the context 03
Setting the context
The Southwest Australia Aims and objectives of the SWAEI The SWAEI aims to deliver a coordinated, strategic planning Ecoregion Initiative framework for the conservation of biodiversity in the south- Although the SWAE is internationally recognised for its west of Australia. This is founded on a biodiversity assessment biodiversity values, there has not been a coordinated and and prioritisation process. Using this approach, the SWAEI integrated approach to addressing the threats it faces. A consortium aims to act as a catalyst for addressing key threats consortium of concerned conservation experts met informally to the values of the ecoregion by raising its profile locally, in 2001, with the aim of developing a cooperative approach to nationally and internationally. It also seeks to provide guidance biodiversity conservation in the region. This subsequently led to to decision-makers charged with land-use planning and on- the establishment of the SWAEI. ground implementation.
The SWAEI was formalised in 2002 with the inception of a Vision for the SWAE Stakeholder Reference Group (SRG). The SRG has been jointly chaired by the Department of Environment and Conservation The SWAEI identified a set of guiding principles to protect, (DEC) and WWF-Australia and includes representatives enhance and connect natural areas, which are underpinned by a from NRM regional groups, Australian and State government landscape ecology approach to biodiversity conservation. These agencies, research and tertiary institutions and the community. principles recognise the anthropogenic interaction within the A smaller Working Group (also jointly chaired by the DEC ecoregion, as articulated by the following vision: and WWF-Australia) met more frequently to progress SWAEI “A diverse and continuous mosaic of natural landscape features objectives and to report to the SRG. distributed across the landscape, interspersed with a diversity of The SWAEI has relied upon the DEC and WWF-Australia to socially and economically productive land uses, which support drive a number of activities, including the Conservation Planning the natural diversity and natural functioning of that landscape”. Symposium. This event brought together over 260 participants, including internationally renowned conservation planning Aims of the SWAEI’s systematic conservation experts, NRM professionals and community representatives. planning project Attendees participated in discussions and workshops that helped The aim of the SWAEI’s systematic conservation planning to formulate the planning approach used here for the SWAE. project is to identify a set of prioritised areas, or Zones and Areas for Conservation Action (ZVA/ACA) and taxonomic imperatives In 2008 and 2010, funding was received from the Australian within the ecoregion. The results of this systematic conservation Government’s Caring for Our Country initiative to undertake project will help to: a systematic conservation planning project for the ecoregion. WWF-Australia led the first two phases of this project on behalf • Inform targeted investment for on-ground action at the of the SWAEI consortium. The first phase was completed in local, state, national and international scale; 2009 and used information from the Conservation Planning • Inform local and state government planning decisions; Symposium and subsequent consultation with experts to • Guide decision-making through community initiatives; develop a draft spatial plan and process for prioritisation. The • Drive a range of strategies and actions that deliver the vision second phase commenced in 2010 to finalise the systematic for the ecoregion; and conservation planning process and to demonstrate a means of • Engage the community and key stakeholders in the building, on-ground implementation. strengthening and integration of partnerships and resources necessary to protect and conserve the values of the SWAE. © Mike Griffiths / wwf-aus . tive Demonstrate an open and transparent process; Describe the methodology that was used; Guide systematic conservation planning practitioners undertaking a similar process; and Document the systematic conservation planning used, to allow this process to be repeated in the ecoregion in the future.
1. 2. 3. 4. Rationale for this report for this report Rationale This report aims synthesise to the experiencetwo-year a of project that has been delivered by WWF-Australia, behalf on theof SWAEI and the Australian Government. describes It the methodology and processes followed, including stakeholder engagement and the manipulation data of produce to a suite of prioritised areas. This report is written specifically for a technicalaudience. intended to: It is This report is the second two of reports produced the for systematic conservationplanning project. information For and guidance the implement to how on outputs this of project, please refer Regional to Framework the for Conservation of Biodiversity in the Southwest Australia Ecoregion, Report A: decision-makersFor practitioners and coregion initi a n Ecoregion tralia st Aus th We Sou Summarising what is known about the biodiversity, in conjunction with experts and stakeholders, use for in a systematic spatial prioritisation problem; Using systematic conservation planning software to conduct an analysis the of available data and information identifyto a high priority set areas of that will deliver higher returns on conservation investment; and Documenting the process identifying of the priority areas so that inputs and assumptions areclear, and further projects can build this on use or work specific aspects for more detailed analysis.
1. 2. 3. The results the of analysis connect spatial and taxonomic priorities the to existinginterests and capacity the of government agencies, community groups and environmental non-government organisations (NGOs) who currently deliver a diverse array on-ground of conservation works. This prioritisation guides and coordinates decision-making and investment enhance to the conservation return resource on investment. The ZCArepresent areas that are highly prioritised for conservation action, whether for on-ground implementation or statutory protection. As this systematic conservation planning project aimed be to transparent, engage experts and a adopt to defensible decision-making process, these objectives were met by: WT Eagle Chick WT Eagle Chick 04 SUMMARY OF THE PROJECT METHODOLOGY 05
SUMMARY OF THE PROJECT METHODOLOGY
Ecoregion conservation has two over-arching What is systematic conservation planning? components. The first is the strategic partnerships Systematic conservation planning is a process that involves the and relationships between stakeholders in the region, collection of data applicable to an area, setting target objectives for the biodiversity features of the area for which there is available as described in step one. An effective process that data, and then using software to objectively analyse the data to engages stakeholders is the difference between an meet objectives. In the SWAE, systematic conservation planning excellent plan that is never used and one that has is a means of analysing biodiversity information about the region to objectively identify those areas where the most efficient and sufficient cross-sector support to be implemented effective conservation activities can be implemented. (WWF, 2004). The second component is a rigorous, Systematic conservation planning has two characteristics. The science-based analysis of the biodiversity values and first is the use of explicit and quantifiable objectives. This means how these are represented spatially, or systematic that planners and managers must be clear about what they intend conservation planning, as described in steps 2 to 10. to achieve and be accountable for decisions that should make progress towards the achievement of their objectives. The second characteristic is the use of the principle of complementarity, Expert engagement and partnerships whereby the methods identify conservation areas that are complementary to one another in terms of collectively achieving Over the course of the systematic conservation planning project, objectives. Areas identified in this way will contain different which commenced officially in 2009, a series of workshops and one- species or complementary portions of different habitat types on-one engagement occurred. Over 130 scientists and other experts (ANZECC, 1997; Pressey and Bottrill, 2008). contributed to the process, providing advice on the analysis, selection of relevant conservation features, target-setting parameters, Furthermore, systematic conservation planning involves working land classification, threats, data access and interpretation, the through a structured, transparent and defensible process of interpretation of results and how to translate those results in to on- decision-making. One of the key outcomes is an integrated system ground action. of conservation areas (or, as referred to in this report, Zones for Conservation Action). This differs from traditional conservation As the lead organisation, WWF-Australia has worked collaboratively planning, which results in a non-integrated collection of with a range of key stakeholders through its Working Group, conservation areas produced by a series of ad hoc decisions that which coordinated and directed the project, the Stakeholder have often been made in isolation. The integrated system resulting Reference Group, which advised on stakeholder engagement and from systematic conservation planning is much more effective at future community engagement, the CPT, and through one-on-one achieving objectives for the persistence of biodiversity and other engagement. This project could not have been possible without natural values because it provides both a spatial and taxonomic the support, investment and contributions of the Australian focus for the investment of often limited conservation resources Government, Western Australian Government, NRM regions, (Pressey and Bottrill, 2008). environmental NGOs, Western Australian Local Government Association, tertiary institutions and other interest groups. © helena mills / wwf-aus Outputs Final Map Everlastings Everlastings Lock-ins Introduce Introduce Introduce Cost Layer Adjust in Marxan Parameters Run analysis tive Features Conservation Set Targets for Set Targets Data Software Software selection Identification & Preparation & Preparation coregion initi a n Ecoregion tralia st Aus th We Sou Units Apply Identify Features Features Features to Planning Conservation Conservation Apply to Project to Project Boundary Planning Units Boundary Define Project Define Project Defining project the boundary; Choosing the planning units to be applied across the project area; Identifying the conservation features to be used in the analysis and applying them planning to units; Identifying and collecting available data; Setting targets each for conservation feature; Running the analysis; Defining the cost layer and choosing the threats to be represented in the analysis; Identifying areas to be “locked-in” to the final solution; and Re-running the analysis adjusting (and parameters as required). Figure 1. Summary of analysis workflow for systematic conservation planning conservation planning Summary of analysis workflow for systematic Figure 1. Systematic conservation planning is a complex process that can extend over many years. Resource constraints weretime) considered and trade-offs made ensure to a rigorous (financial and and defensible result that stakeholders could find useful. The logical progression data of preparation and analysis upon which systematic conservation planning relies is outlined in Figure 1. Each box entails considerable a amount decision- of making around complex issues, time processing, trials, reviewingoutcomes andre-adjustment. This chartflow outlines the finalmethod used in thisproject, but doesnot detail all the intermediate steps taken. The key steps included: • • • • • • • • • Systematic conservation planning process conservation Systematic 06 STEP 1. IDENTIFYING RELEVANT STAKEHOLDERS AND CLARIFYING ROLES 07
STEP 1. IDENTIFYING RELEVANT STAKEHOLDERS AND CLARIFYING ROLES
The SWAEI consists of a Working Group (WG), The Australian Government played an important role, not only co-chaired by the DEC and WWF-Australia. The group with representation on the WG and SRG, but also by participating in workshops and reviewing reports. It made a significant also includes representatives of the Department of investment through its Caring for Our Country program, Sustainability, Environment, Water, Population and without which the project could not have been delivered. Communities; the departments of Environment and Conservation, Planning and Agriculture and Food WA; Expert engagement NRM groups, the WA Local Government Association Many of the decisions made during the course of this project and Greening Australia. The working group’s role were informed by key experts with expertise in on-ground implementation, biological science, hydrology, geology, ecology, was to provide strategic advice and guidance for the taxonomy, land-use planning, GIS, threats to biodiversity and delivery of the conservation planning project. conservation planning. This advice was an essential and ongoing component of the decision-making process. The Stakeholder Reference Group (SRG) met on a quarterly basis and increased to approximately 60 representatives A variety of experts were identified during Phase 1, building from community groups, Aboriginal Land and Sea Councils, upon previous work undertaken by the SWAEI. These experts NRM regional groups, state agencies, universities, research provided guidance and advice in the selection of conservation organisations, local government, environmental NGOs, features, the target-setting process, data provision and technical consultants and the Chamber of Minerals and interpretation, how to address conflicting or challenging Energy. The purpose of the SRG was to engage with a broader problems, the interpretation of results and methodology design. audience and inform the progress of the project. Its meetings The same experts were engaged as much as possible throughout were also used to garner feedback and identify issues that were this process to ensure continuity and consistency. Discussion, relevant to these stakeholders. This platform was also used to rationales, underlying theorems and issues raised at the workshops provide representatives with information to feed back into their and during subsequent engagement were documented and own organisations, and resulted in additional meetings and distributed. While the workshops constituted a major research presentations to raise awareness. activity, experts continued to discuss ideas and to clarify questions The Conservation Planning Team (CPT), which oversaw the throughout the duration of the project. In total, over 130 experts decision-making, analysis and interpretation of the data, from federal, state and local government agencies, consultancy consisted of world-renowned experts such as Professor Bob businesses, tertiary institutions and the environmental non- Pressey FAA; Dr. Trevor Ward; DEC’s Regional Ecologist Dr. government sector contributed to this phase of the project. Geoff Barrett and Project Manager Ms. Danielle Witham. The team met on an “as needs basis”, which ranged from weekly to Identification of conservation features and bi-monthly meetings. This group presided over the technical target-setting workshop decision-making process relating to this complex systematic Over 65 experts contributed to the question of how best to conservation planning project and gave advice on how to deal represent the region’s biodiversity. Eight workshops were held with particular issues. over a three-day period in 2009 (Phase 1). Sessions were based The Technical Team consisted of representatives from Gaia on the following classes and an additional workshop was held to Resources, who undertook the data cleaning and management, identify threats to biodiversity across the ecoregion: creation of data sets and GIS layers, and map production. • Birds; • Vegetation; WWF-Australia, as the recipient of the funding, managed the day-to-day elements of the systematic conservation planning • Flora; project and its delivery. This included contract management, • Inland water bodies; resourcing, meeting financial and reporting requirements, • Inland water species; overseeing communications and relationship management, • Mammals, reptiles and amphibians; providing executive support and chairing all SWAEI-related meetings. Raising awareness of the project also involved giving • Invertebrates; and presentations, conducting meetings, preparing newsletters and • Key regional threats. media releases, and maintaining a website. South West Australian Ecoregion initiative 08
The aim of engaging experts in these workshops was to inform: Land classification workshop • The conservation features that should be considered for More than 30 experts attended a workshop on land-tenure inclusion in the analysis in each of the asset classes; classification. This workshop aimed to get expert advice on how • The ecological scale (e.g. species versus subspecies); to classify different land tenures and parcels to be included in the cost layer. Specifically, the workshop sought to: • The criteria to develop quantitative conservation targets; • Determine how to apply different land tenures to the • The characteristics of different conservation features that systematic conservation planning process; would influence the targets set. For example, the extent of previous distribution, natural rarity versus anthropogenic • Determine how to recognise the activities of stakeholders in rarity, endemism, declines, extent of exposure to threats, life the systematic conservation planning process; history characteristics, restrictions to the SWAE, periodic • List management approaches and tenures with key concentrations, vulnerability to further loss, abiotic/ characteristics; biotic heterogeneity, functional importance, dependence • List appropriate data and agreement to access/use in the on variable resources, phylogeny and similarities to other SWAEI process; species; and • Determine a common language to be used by statutory • The limitations and applications of the available data in planning authorities; and developing conservation targets. • Continue discussions about mainstreaming the systematic Experts were given guidance on defining a conservation target conservation planning outputs with stakeholders. for the purposes of software analysis, general principles for setting targets, general considerations for target-setting, Zones for Conservation Action workshop / limitations of target-setting and previous target-setting work. Areas for Conservation Action The CPT was then able to design a suite of target-setting A workshop held in 2011 brought together more than 20 experts formulae that was applied to all conservation features, based to help interpret the results and assist in the development of a on the relative importance that experts placed on particular methodology to guide those people implementing broad-scale conservation features. To avoid the concern of setting numerical conservation planning on the ground. (For more information refer targets, bias and the variation in subjectivity across the asset to the Regional Framework for the Conservation of Biodiversity classes, the experts were not responsible for setting specific in the Southwest Australia Ecoregion Report A: For decision- numerical values. makers and practitioners.) This workshop aimed to: • Develop a methodology to prioritise ZCAs; Expert review workshop • Identify four to five ZCA that are likely to be regional An expert review workshop involved 20 participants priorities and represent spatial variety of different issues undertaking a preliminary review of the Phase 1 results. This (e.g. peri-urban, wheatbelt, woodlands, etc); workshop sought to: • Develop a methodology that describes the transition from • Confirm the conservation features used in the Phase 1 regional-scale planning to local-scale; analysis; • Develop a methodology that transitions prioritised areas to • Confirm the formulae that underpinned the targets set for actual management prescriptions; the conservation features; and • Prioritise conservation features; • Confirm that the data sources used were the most appropriate for the analysis. • Make recommendations on the management actions required for restoration, management and protection; and Further one-on-one engagement occurred over a five-month • Identify additional delivery mechanisms by which period to capture any additional information. recommendations can be made within the defined ZCA (e.g. land-use planning, off-sets, regulation, market-based instruments and incentives).
In subsequent workshops Areas of Conservation Action (ACA) were defined using sub-IBRA regional boundaries and/or the amalgamation of two sub-IBRA boundaries for an inclusive approach that recognised the potential for the development of corridors and connectivity in the landscape. The ten (10) ACA are features on the Priority 1 for Action Map, and ZCA are shown on Figure 33. Best Solution Map.’
An ACA may be the total area within an IBRA Sub-regional boundary or a selected area within a ZCA – the principle applied is to adopt an inclusive, rather than an exclusive approach, and consider connectivity and corridors. STEP 2. DEFINING PROJECT BOUNDARY 09
STEP 2. DEFINING PROJECT BOUNDARY
A biological landscape defines the size and distribution The boundary of the Southwest of land and habitat areas required for the conservation Australia Ecoregion of key biodiversity assets (or conservation features). The SWAE (Figure 2.) comprises the Southwest Australian The landscape should be large enough to represent Floristic Region (SWAFR, sensu Hopper and Gioia, 2004), a variety of biodiversity assets of interest, as well plus the adjacent semi-arid region (Transitional Zone). as their spatial requirements to remain viable. After extensive consultation, it was also agreed to include a 100-kilometre buffer outside the Transitional Zone to provide The boundary area for the SWAEI’s systematic conservation spatial context for conservation planning, particularly to identify planning project was refined, based on the spatial needs of key threats, conservation features and processes just outside the conservation features. The boundary was identified by including SWAE boundary that might influence decisions within its both intact and potentially restorable habitat and human- borders. The project area (summarised in Box 2.) contains all or dominated landscapes, such as the Swan Coastal Plain, and part of the following 14 (of 85) bioregions set out by the Interim included areas that were critical to the survival of key species or Biogeographic Regionalisation for Australia (IBRA) (Thackway underlying processes. and Cresswell, 1995):
Both terrestrial and critical aquatic habitats, including coastal • Avon Wheatbelt • Carnarvon* and estuarine habitats, were included within the boundary and • Coolgardie • Esperance Plains scope of the project. Initially, it was agreed that islands greater • Geraldton Sandplains • Great Victoria Desert* than 20 hectares would be included, given their similarity to • Hampton • Jarrah Forest terrestrial areas. However, based on expert advice, all islands were finally excluded because they have quite distinct values • Mallee • Murchison* that need to be evaluated using different criteria. • Nullarbor* • Swan Coastal Plain
Planning at the ecoregion scale is important for a variety of • Warren • Yalgoo reasons. Firstly, it provides a broad spatial context for decision- *part of the 100 km buffer zone making by different spheres of government, NRM bodies and other organisations involved with the delivery of on-ground conservation. Secondly, it provides decision-makers with an appreciation of regional variation in vegetation types and species occurrence, thereby contributing to a more comprehensive assessment of the ecoregion’s biodiversity.
Box 1. IBRA Bioregions
Title: Interim Biogeographic Regionalisation for Australia Boundaries (IBRA) version 6.1
Custodian: Department of Sustainability, Environment, Water, Population and Communities
Scale: 1:250,000
Coverage: Australia-wide
Ending date: December 2004
A landscape-based approach to classifying the land surface of Australia. Nominal attributes that make Abstract: up IBRA are: climate, lithology/geology, landform, vegetation, flora and fauna, and land-use. For more information, go to: http://www.environment.gov.au/metadataexplorer/explorer.jsp
South West Australian Ecoregion initiative 10
Figure 2. Southwest Australia Ecoregion
Box 2. Summary of project parameters
A total of 686,871 km2, including: • 27% of the total area of Western Australia; Project area: • 9% of the total area of Australia; and • All or part of 14 of the 85 Australian Bioregions (IBRA).
Planning units: A total of 266,570 two-kilometre-wide hexagonal grid cells
A total of 1,391 conservation features, including: • 100 bird species; • 31 mammal species; • 35 reptile species; • seven amphibian species; Conservation • 49 inland water species; features: • 43 invertebrate species; • 82 water bodies; • 137 flora species; • 45 other types; and • 862 vegetation complexes.
Endemic: Of the 402 flora and fauna species used in the analysis, 295 are endemic to the SWAE (73%).
Over 70 different datasets were used in the final analysis. Data: Over 30 organisations were contacted regarding data availability or usage clarification throughout the project. Over 400 GB of data and 127,000 files were used in the project.
STEP 3. APPLYING PLANNING UNITS TO PROJECT AREA 11
STEP 3. APPLYING PLANNING UNITS TO PROJECT AREA
Planning units are the uniform spatial unit of analysis used in Square cells are a common grid shape to use for spatial analysis most approaches to systematic conservation planning and are as they are easy to produce, manipulate with spatial software, the building blocks of an expanded system of conservation areas. and to interpret. However, as a shape, they do not necessarily best Planning units are cells that form a continuous grid over the represent the spatial distribution of environmental or biological project area. They are the units of assessment and comparison attributes (unless they are very small cells, entailing a very large and, as an overlay, divide the project area into square grids, amount of computational analysis). Hexagons (Figure 3.) are circles or hexagons. They must capture all the areas that should structurally more compact and the central point is equidistant be selected as part of the reserve system and their size should to its sides. This means that there is less risk of distortion in be at a scale appropriate for both the ecological features and the the representation of conservation features (Jurasinski and size of the protected areas likely to be implemented (Margules Beierkuhnlein, 2006). and Pressey, 2000; Mairono, et al., 2008). For the purposes of systematic conservation planning, the smallest spatial entity for modelling and analysis is usually selected. However, there are Figure 3. Comparison between square and hexagonal planning units options available for determining the size and shape, which are influenced by processing time. Put simply, the more planning units there are, the longer the processing time will be for the analysis component of this project.
Planning units need to adhere to the following rules: y m • They must cover the whole of the project area; x m x m • There must not be any gaps or overlaps; and • Each cell must have a unique identifier.
Planning unit shape Planning units can either be regular or irregular in shape. Regular-shaped planning units (such as squares or hexagons) 2km 2km tend to be favoured scientifically as they produce areas of equal size for comparison. Irregular-shaped planning units, such as cadastral boundaries, can also be used and produce outputs that can be utilised constructively for on-ground conservation (Ardron, et al., 2010). However, irregular boundaries must be selected with caution. Larger parcels of land tend to contain more conservation features and be viewed more favourably within a Marxan process, potentially producing outputs biased towards size rather than biodiversity richness.
Irregular planning units based on cadastre were initially considered as the potential grid for the SWAE, which contained more than a million cadastre parcels. However, due to the data needing extensive cleaning (due to numerous gaps and anomalies), the large number of parcels and potential selection favourability (of larger areas being favoured over smaller), a regular grid was deemed more suitable. South West Australian Ecoregion initiative 12
Planning unit size The hexagonal grids used in this analysis were produced using A planning unit determines how each data attribute is the Repeating Shapes tool from Jenness Enterprises. Details of compared, so its size and shape needs to be selected with care. the Repeating Shapes processing included: If planning unit cells are too small, computational time can be • Grid type: Hexagon excessively long or there may be insufficient contrast between • Coverage: SWAE project boundary cells, especially if each contains only one or two conservation • Diameter: 2 km features. If cells are too large, output areas may be either too big • Orientation: Horizontal to analyse or too difficult to distinguish. Based on the project • Area: 2.598 sq km size, data accuracy and the potential outcomes required, a cell The resulting grid layer produced just over 266,000 planning diameter of 2km was used for this systematic conservation unit cells that were clipped to the project area boundary. An planning project. example of the planning units is shown in Figure 4. and Box 3. contains a short description of the planning unit dataset.
Figure 4. Example of planning units (near Albany, Western Australia)
Box 3. Dataset for planning units used in the analysis
Title: Planning units
Custodian: SWAEI
Scale: N/A
Coverage: Covers the entire SWAEI project area
Ending date: May 2011
This dataset was created specifically for the SWAEI project as a base dataset to be used for further analysis. Each planning unit is uniquely identified, and additional conservation features and other data is attributed Abstract: to the planning units in subsequent processing. Due to licensing, only the planning unit identifier can be provided with this dataset.
URL link: N/A STEP 4. PREPARING AND CHOOSING SOFTWARE 13
STEP 4. PREPARING AND CHOOSING SOFTWARE
Systematic conservation planning requires information on • Topological – fixing a range of issues with datasets, such as the spatial distribution of biodiversity. Data was included in ensuring polygons were complete, (e.g. closing the mouths of this analysis only if it could be mapped and was already in an estuaries to create polygons), and that polygon boundaries electronic format. This is a key concept. Without the ability to did not overlap; spatially define a particular conservation feature, or a threat, it • Attribution – checking that the attributes for a d ataset were was not possible to attribute it to the planning units and to use as described in the metadata and were completed in the it in the analysis. dataset; • Removal of any records with spatial inaccuracies (e.g. Data identification and preparation was a time-consuming and accuracy estimates of “1 degree”); resource-intensive element of the project. In Phase 1, 253 GB of • Removal of any records with attribute inaccuracies (e.g. data (over 69,000 files) was included. An additional 149 GB of missing species names); data, including over 58,000 files, was created during Phase 2. In • Removal of any data that was recorded prior to 1970 as it total, over 400 GB and 127,000 files were prepared over a two- is considered inaccurate due to GPS limitations and data year period. currency issues; • Taxonomic – a specific form of attribution checking to Data identification ensure that all names used the same nomenclature (using the taxonomic nomenclature standard from the WA Museum Data identification was informed by engaging with experts, the and WA Herbarium); and WG, SRG or the CPT. The biodiversity data and knowledge was • Outlier errors – checking that coordinates in the data were not pre-constrained as all identifiable elements were considered not incorrectly set (e.g. missing negative signs on Southern as plausible inputs. This means that taxonomic bias would Hemisphere data) and were not wrongly shown as outside not prevail unless that was a natural result of the available the study area. knowledge base. The data was sourced (see Appendix 3.) through existing on-line data providers (e.g. the Shared Land All decisions regarding the cleaning process were recorded Information Platform accessed through https://www2.landgate. for each dataset, leading to a large number of highly technical wa.gov.au/web/guest) or by contacting data custodians directly. documents, which are not included in this report. Licensing agreements were entered into at the requirement of the Generally, data was identified, sourced, refined or processed, data custodian. For example, the South Coast Natural Resource and then attributed to the planning units for the SWAEI area, as Management Phytophthora dieback datasets required data to be outlined in Figure 5. deleted at the end of the licence term and the DEC requested that any taxa listed under the West Australian Wildlife Conservation While the data processing or refinement was specific to each Act 1950 could only be displayed on maps with a scale of 1:25,000 dataset, the data projection of Australia Albers Equal Area Conical or greater. In most cases, licensing agreements specified the use was used to provide the best preservation of the spatial area of the of the source data for this project only and prohibited data being datasets. Each dataset was reprojected using ArcGIS to ensure made available to other stakeholders. standardisation across the project area. Other refinements, such as stitching together datasets, or creating surrogates, were also Preparing data undertaken in this step. Attribution to the planning units was undertaken through simple spatial intersections. These are further Once data was identified and access negotiated with custodians, discussed in the sections that detail project tasks and techniques. metadata was requested, though not always supplied. As metadata was limited, new lists were created for the purposes Appendix 2. contains a full list of all datasets used in this project. of this project. Once sourced, the data was reviewed and cleaned using various processes. These processes can be broadly categorised as: Figure 5. General data preparation • Formatting – converting the datasets to the common spatial
data format of ESRI shape files (e.g. when point-based Refine or Attribute to Identify Data Source Data occurrence records are supplied in Microsoft Excel format); Process Planning Units • Coordinating Systems – ensuring that all data was converted to the same projection, namely the Albers Equal Area Conic projection (to ensure that area calculations were correct); South West Australian Ecoregion initiative 14
Conservation planning software However, it is important to acknowledge that the solutions produced by Marxan reflect a “black and white” view of the While several conservation planning software tools are readily world – either an area of land or sea is in or out of the reserve; available, members of the CPT had considerable expertise in there are no shades of grey. Furthermore, Marxan is used to using the Marxan software. guarantee biological constraints are met in reserves, but it could Marxan is a widely used and freely available decision support not be used to ensure a certain area is retained for a specific tool for planning marine and terrestrial reserve systems. It human use. identifies areas that efficiently conserve an adequate amount of A simple illustration of how Marxan works is provided in Figure a variety of conservation features for a minimal cost. Marxan 6., which shows sample conservation features being attributed has been used to: across the planning units. In this example, Marxan has been • Help design new reserve systems; run through a set number of runs, using the same conservation • Report on the performance of existing reserve systems; and features, targets and parameters. The image on the right • Develop multiple-use zoning plans for NRM (University of illustrates the selection frequency of the planning units used in Queensland, 2011). this example. To use Marxan, a range of conservation features are attributed across a series of planning units. Marxan uses simulated Other software used annealing as the optimisation algorithm to find numerous “good Rather than use Marxan in its native form, this project used solutions”, which are generated through multiple iterations Zonae Cogito (version 1.21), which features an interface to or “runs”, with planning units either included or excluded Marxan software and an integrated open source Geographical in the reserve solution (Game and Grantham, 2008). This is Information System (GIS) platform embedded within. This dependent on whether part of the solution is already contained allows results to be mapped, and is considered a simple and within the reserve network (complementarity), what the gaps in robust way to run Marxan analyses and to view the results. Both the network may be and whether solutions can be found away Marxan and Zonae Cogito (ZC) can be freely downloaded from from threats. http://www.uq.edu.au/marxan. Training manuals available from the website guide users through general exercises. Standard outputs – best solution and selection Other software programs used during the project included: frequency • Microsoft Excel: a commercial spreadsheet program; Marxan produces two standard outputs. The “best solution” • ArcGIS 9.3: commercial GIS software used for spatial data file identifies, out of the specified number of runs, which one manipulation and for results display and map production; produced the solution with the lowest cost according to Marxan’s • Joint Nature Conservation Committee (JNCC) tool: an objective function. However, Game and Grantham (2008) ArcGIS extension applied to calculate boundaries for Bound. recommend exercising caution as the lowest-cost solution, in dat file. Downloadable from http://www.uq.edu.au/marxan/ reality, does not make it the best reserve system. Similarly, the index.html?page=83126 (requires ArcGIS to run); best solution may be only marginally better than other solutions. • Jenness Repeating Shapes tool: a freely available ArcGIS Thus, “best” has a very narrow definition and should not be extension used for producing hexagon-shaped grids, used communicated to stakeholders or decision-makers as the ideal in the creation of planning units. Downloadable from solution. Rather, it should be seen as a very good solution within http://www.jennessent.com/arcgis/arcgis_extensions.htm a continuum of options. (requires ArcGIS to run); and The second output summarises the selection frequency for each • Notepad++: a freely downloadable text editor used for the planning unit across all the good solutions generated. How manipulation of a number of the Marxan source tables, frequently a planning unit is selected is a measure of how often where required (note: any text file editor is sufficient). that planning unit is required to achieve the planning objectives Downloadable from http://notepad-plus-plus.org/. for that specific scenario. The frequency of planning unit As noted above, it would be possible to substitute freely available selection has no intrinsic value outside the specific arrangement software for each of these software packages chosen above. of the decision parameters represented in each scenario. The However, the plug-ins for ArcGIS (the JNCC and Jenness tools) selection frequency value of a planning unit in one scenario would need to be rewritten for use in other software. In addition is therefore not necessarily transferable to another scenario. to these readily available tools, the technical team developed Planning units are selected less often when there is a range of a script for use in ArcGIS (written in Python) that undertakes equally good alternatives and hence more units are considered connectivity processing for the planning units. This script is replaceable. However, even some of the units of low selection available from WWF on request. frequency must be included in any plan of conservation action or the conservation targets will not be met. Planning units that become “irreplaceable” appear in every solution and must be included to achieve the planning objectives. It is important to note that a selection frequency map does not represent a solution; rather it shows the relative irreplaceability of specific planning units in achieving the conservation targets. STEP 4. PREPARING AND CHOOSING SOFTWARE 15
Figure 6. Marxan selection frequency example South West Australian Ecoregion initiative 16
STEP 5. IDENTIFYING CONSERVATION FEATURES
Identifying conservation features refers to the Wallpaper process of identifying the suite of characteristics Wallpaper is a dataset that covers the whole of the project area that not only make, but also represent the important (for example, vegetation types were used as a base dataset to give input consistency over the whole project area). This means that biological values of the SWAE. Conservation even where there may be planning units that have no attributes features can be as diverse as (but not limited to) an assigned from the conservation feature datasets, Marxan will individual species, an ecosystem, or a range of other still have a biological basis upon which to select a planning unit. biological or biophysical occurrences. This includes focal species (e.g. Carnaby’s black cockatoo), focal Choosing conservation features habitat (e.g. rare habitat types, such as Threatened Focal species, habitats and ecological processes were investigated to identify which conservation features were to be Ecological Communities; surrogate habitat types, used for the project. Analysis of endemism and the presence of such as granite outcrops or wetlands; or vegetation species, based on WA Herbarium and WA Museum datasets was communities) and focal processes (e.g. migratory undertaken, as well as a review of species listed for protection under both the Western Australian Wildlife Conservation Act pathways or roosting and feeding sites). 1950 and the Federal Federal Environment Protection and Conservation features are the core driver for the Marxan Biodiversity Conservation Act 1999. Ten asset classes were analysis and consist of any part of the environment, ecosystem or chosen to be included within the decision problem: biodiversity that is to be included in the data analysis. Generally, • Amphibians; the three types of conservation features used in this project were • Birds; individual features, surrogates or wallpaper. • Invertebrates; • Mammals; Individual features • Reptiles; Individual features are specific features that are considered • Flora; important to conserve, for which there is available data, such as: • Inland water bodies; • Inland water species; • A specific flora or fauna species (e.g. Carnaby’s black • Vegetation types; and cockatoo) or subspecies (Muir’s corella); • Other (e.g. surrogates for biodiversity, such as granite • A class of area (e.g. Threatened Ecological Community); outcrops). • An ecosystem type (e.g. kwongan heath); or • Topographic features (e.g. waterholes). As an example of its biological complexity, the SWAE project area contains over 16,000 known taxa (around 3,500 fauna Surrogates and 13,500 flora species and subspecies, including introduced Surrogates use one type of feature to indicate other features species). However, data and spatial distribution on most of that are more difficult to show spatially or to represent these species is limited, and due to computational and time ecologically, for example: constraints, the species level information had to be aggregated • Granite outcrops (known as areas of high diversity, rarity, and devolved to the use of surrogates to be able to represent endemism and refugia); many of the species in the Marxan analysis. This problem • Surrogate species (e.g. the presence of water milfoil indicates principally (but not only) applies to both the common/abundant fresh water); or species and the small/cryptic species, which have not been the • Surrogate modelling (e.g. southern slopes indicating ideal subject of detailed distributional research. invertebrate habitat). A summary of the total numbers of conservation features for each asset class is listed in Table 1. A full list is provided in Appendix 4. STEP 5. IDENTIFYING CONSERVATION FEATURES 17
Fauna conservation features A total of 216 fauna conservation features (amphibians, birds, invertebrates, mammals and reptiles) were chosen for inclusion in the project analysis. Data came from a variety of sources (see Box 4.). An intensive data cleaning process ensured that all data points were in the same format.
Table 1. Conservation features by asset class
No. of surrogates used No. of individual conservation Asset class to represent conservation features features used in the analysis used in the analysis Birds 100 2 Mammals 31 0 Reptiles 35 0 Amphibians 7 0 Inland water species 49 13 Invertebrates 43 1 Inland water bodies 82 0 Flora 137 0 Other 45 14 Vegetation 862 0 Total 1391 30
Box 4. Fauna datasets used in the analysis
Title: Atlas of Australian Birds (2)
Custodian: Birds Australia
Scale: GPS points
Coverage: Western Australia
Ending date: Ongoing
Atlas data forms the basis for research such as The State of Australia’s Birds Report. Since 1998, a dedicated Abstract: band of over 7,000 atlassers have amassed over 420,000 surveys, comprising over 7.1 million bird records.
URL link: http://www.birdsaustralia.com.au/our-projects/atlas-birdata.html
Title: Hooded Plover Nesting Sites
Custodian: Birds Australia
Scale: GPS points
Coverage: Western Australia
Ending date: Ongoing
Abstract: A database monitoring nesting sites and chick counts for the hooded plover.
URL link: http://www.birdsaustralia.com.au/our-projects/beach-nesting-birds.html South West Australian Ecoregion initiative 18
Box 4. Fauna datasets used in the analysis (Cont.)
Title: Threatened and Priority Fauna
Custodian: Department of Environment and Conservation
Scale: GPS points
Coverage: Western Australia
Ending date: Ongoing
Abstract: A database of ongoing surveying work detailing rare and priority fauna points over Western Australia.
URL link: http://www.dec.wa.gov.au/content/view/5379/2231/
Title: Carnaby’s Black Cockatoo Roosting Sites
Custodian: Department of Environment and Conservation
Scale: GPS points
Coverage: South-west Australia
Ending date: Ongoing
Abstract: A confidential database detailing known roosting sites throughout the south-west of Australia.
URL link: http://www.dec.wa.gov.au/content/view/6333/2361/
Title: Carnaby’s Black Cockatoo Breeding Sites
Custodian: Department of Environment and Conservation
Scale: GPS points
Coverage: South-west Australia
Ending date: Ongoing
Abstract: A confidential database detailing known breeding sites throughout the south-west of Australia.
URL link: http://www.dec.wa.gov.au/content/view/6333/2361/
Title: Carnaby’s Black Cockatoo Feeding Sites
Custodian: Department of Environment and Conservation
Scale: 1:250,000 (vegetation surrogate-based)
Coverage: South-west Australia
Ending date: June 2009
Broadly defined feeding sites, based on a variety of vegetation data surrogates. Data used includes pre-European vegetation, tuart woodlands, vegetation complexes and System 6 data (Heddle vegetation complexes) with data Abstract: being clipped to a remnant vegetation and outputs cleaned to consider areas that have been lost to degradation, clearing, development and changing climatic conditions from the potential food sources.
URL link: http://www.dec.wa.gov.au/content/view/6333/2361/
Title: Collections Database (various)
Custodian: Western Australian Museum
Scale: GPS points
Coverage: Western Australia
Ending date: Ongoing
Abstract: An ongoing database collection for a wide variety of fauna for Western Australia.
URL link: http://www.museum.wa.gov.au/ STEP 5. IDENTIFYING CONSERVATION FEATURES 19
Box 4. Fauna datasets used in the analysis (Cont.)
Title: Western Swamp Tortoise Boundaries
Custodian: Environmental Protection Authority
Scale: GPS points
Coverage: South-west Australia
Ending date: Ongoing
Abstract: Boundaries showing the location of western swamp tortoise habitats in Western Australia.
URL link: http://tinyurl.com/6beeapq
Fauna subspecies Where it was determined that a subspecies needed to be Most individual conservation features were processed at distinguished from the species level, the following rules applied: the species level. However, in some cases it was considered • Subspecies needed to be identifiable within the datasets; important to include in the analysis the distinction between • All subspecies points were included in the layer; and subspecies. This applied where subspecies were considered • If data for both subspecies and species levels was available geographically distinct and it was important to capture the full then it was treated as individual subspecies but stratified range of representation or where a subspecies was listed under the using distributional information and expert advice. Western Australian Wildlife Conservation Act 1950 and/or the The stratification of conservation features into subspecies Federal Environment Protection and Biodiversity Conservation occurred for six fauna taxa in this analysis (listed in Table 2.). Act 1999 and, subsequently, a different target formula applied Box 5. contains a working example for the western rosella. (refer to the section on setting targets for more information).
Table 2. Stratified subspecies fauna taxa
Scientific name Subspecies Common name Stratification details C. p. pastinator Easily stratified data as subspecies was Cacatua pastinator Muir’s corella C. p. butleri (derbyi ) spatially separated
P. n. oberon Easily stratified data. Used Reference Psophodes nigrogularis Western whipbird P. n. nigrogularis Book to determine boundary
P. i. icterotis Stratified species via IBRA regions (see Platycercus icterotis Western rosella P. i. xanthogenys Box 5. for more details)
SCP population Easily stratified data as subspecies was Ctenotus gemmula Jewelled sandplain skink All others spatially separated
E. s. badia Easily stratified data as subspecies was Egernia stokesii Spiny tailed skink E. s. stokesii spatially separated
Inland subspecies South-western Easily stratified data as subspecies was Mormopterus planiceps South-western subspecies free-tailed bat spatially separated South West Australian Ecoregion initiative 20
Box 5. Example of subspecies stratification for the western rosella
Scientific name: Platycercus icterotis
Common name: Western rosella
There are two subspecies of western rosella in the project area (P. i. xanthogenys and P. i. icterotis) that reside within close proximity of one another. The subspecies P. i. xanthogenys resides in the mallee (and is listed under the WA Wildlife Conservation Act 1950 and the Federal Environment Protection and Potential issues: Biodiversity Conservation Act 1999). Subspecies P. i. icterotis resides in the forests of the deep south but is not listed under the WA Wildlife Conservation Act 1950 or the Federal Environment Protection and Biodiversity Conservation Act 1999. Experts consider it resource-limited, which was reflected in the target formula. The two subspecies are also known to interbreed (DEC, 2009).
Based on the above information, the data was stratified as follows: 1. Any data that included subspecies details (no matter where the location) was extracted out into its own subspecies layer; Stratification: 2. Data showing only species level was stratified via IBRA regions: Subspecies P. i. icterotis came under the Jarrah, South Coast Plains and Warren IBRA regions Subspecies P. i. xanthogenys came under all other IBRA regions (mainly the Mallee IBRA region); and 3. Data from 1. and 2. was then combined to create sub-specific data as its own conservation feature dataset.
This example demonstrates the complexity of achieving subspecies representation where distribution of the subspecies is close or overlaps. With expert advice, we determined that any data records found within the Mallee area were defined as being P. i. xanthogenys and any data records found in the southern areas were defined as P. i. icterotis subspecies. STEP 5. IDENTIFYING CONSERVATION FEATURES 21
Flora conservation features Flora conservation features (see Box 6.) were processed similarly to the fauna conservation features. As a direct result of the cleaning process, points from the Orchid Atlas were not included in this project, as they were recorded prior to the 1970 cut-off date. No flora conservation features were stratified in this project. Box 6. Flora datasets used in the analysis
Box 6. Flora datasets used in the analysis
Title: Collections database
Custodian: WA Herbarium
Scale: GPS points
Coverage: Western Australia
Ending date: Ongoing
The WA Herbarium and associated regional herbaria form a unique, dynamic, state-wide team that gathers, Abstract: manages, researches and communicates information on the geography, systematics and biology of our unique and precious flora on behalf of the Western Australian community.
URL link: http://www.dec.wa.gov.au/content/category/41/831/1821/50/0/lang,en/
Title: Banksia Atlas
Custodian: WA Herbarium
Scale: GPS points
Coverage: Western Australia
Ending date: December 1990
A dataset comprised a volunteer surveying effort between 1984 and 1986. Level of detail included Abstract: distribution, growth form, habitat and other biological details.
URL link: http://florabase.dec.wa.gov.au/
Title: Declared Rare and Priority Flora List
Custodian: Department of Environment and Conservation
Scale: GPS points
Coverage: Western Australia
Ending date: Ongoing
Abstract: A database of ongoing surveying work detailing rare and priority flora points over Western Australia.
URL link: http://www.dec.wa.gov.au/content/view/5379/2231/ South West Australian Ecoregion initiative 22
Inland water body conservation features In determining how to create conservation features from the categories of water bodies, a range of protected area lists that Eighty-two inland water bodies were included in the analysis, cover water bodies in the SWAE were investigated. These based on a range of considerations, including geomorphology included: or significant international, national or regional classifications. • Ramsar Wetlands; Inland water bodies included: • Wetlands of National Significance: A Directory of Important • Channels; • Major rivers; Wetlands in Australia; • Minor rivers; • Estuaries; • Other caves; • Other water bodies; • Environmental Protection Policies (EPP): Swan Coastal • Wetlands; and • Wild rivers. Plains Lakes; and A range of datasets were used to create amalgamated datasets for • Conservation Category Wetlands. each of these categories and are listed in Box 7. In amalgamating For each of these lists, the wetlands listed were identified and these datasets, higher resolution data took precedence over extracted from the core datasets to create specific conservation lower resolution data. As a result, no water body categories features consisting of a subset of that type of water body. Box overlap (except for “other water bodies”). This exception was 8. contains a full listing of the resources used to identify listed made for springs, waterholes and other water points, which wetlands. In addition to these resources, the High Conservation were considered absolute entities and were not excluded if they Value Aquatic Ecosystems (HCVAE) listing was initially overlapped with a water body category. Figure 7. contains an considered. However, this listing amalgamates areas in other example of the final datasets. datasets, so was not included in the final process of setting conservation features.
Figure 7. Water bodies dataset example STEP 5. IDENTIFYING CONSERVATION FEATURES 23
Box 7. Water bodies datasets used in the analysis
Title: Geomorphic Wetlands from Darkan to Duranillin
Custodian: Department of Environment and Conservation
Scale: 1:25,000
Coverage: Darkan to Duranillin
Ending date: 9 March 2010
The dataset displays the location, boundary and geomorphic classification of wetlands from Darkan to Duranillin. Abstract: Wetlands in this dataset have been classified into types, according to the geomorphic wetland classification system.
URL link: http://www.dec.wa.gov.au/content/view/5868/1610/
Title: Geomorphic Wetlands from Augusta to Walpole
Custodian: Department of Environment and Conservation
Scale: 1:25,000
Coverage: Augusta to Walpole
Ending date: 18 June 2008
The dataset displays the location, boundary and geomorphic classification (wetland type) of wetlands from Abstract: Augusta to Walpole.
URL link: http://www.dec.wa.gov.au/content/view/5315/1610/
Title: Geomorphic Wetlands of the Swan Coastal Plains
Custodian: Department of Environment and Conservation
Scale: 1:25,000
Coverage: Swan Coastal Plain
Ending date: Continuing
The dataset displays the location, boundary, geomorphic classification (wetland type) and management Abstract: category of wetlands on the Swan Coastal Plain.
URL link: http://www.dec.wa.gov.au/content/view/5317/1610/
Title: Wetlands of the Wheatbelt
Custodian: Department of Environment and Conservation
Scale: 1:100,000
Coverage: Avon Wheatbelt
Ending date: 30 October 2008
The data contained within the Basin Wetlands of the Wheatbelt and other prioritised areas mapping layer Abstract: covers wetlands within most of the Wheatbelt region of south-western Western Australia, as well as small areas of the Rangelands to the east and the Darling Scarp to the west.
URL link: http://www.dec.wa.gov.au/content/view/5311/2213/
Title: Rivers
Custodian: Department of Water
Scale: 1:100,000–250,000
Coverage: Western Australia
Ending date: 5 November 2007
Abstract: Major streamlines of Western Australia, coded with hierarchy and names.
URL link: http://www.water.wa.gov.au/ South West Australian Ecoregion initiative 24
Title: Wild Rivers
Custodian: Department of Water
Scale: Various
Coverage: Western Australia
Ending date: August 2008
The Waters and Rivers Commission and the Australian Heritage Commission identified catchments in Abstract: Western Australia that have not been significantly altered by humans.
URL link: http://www.water.wa.gov.au/PublicationStore/first/83725.pdf
Title: Springs, Lakes, Water Points, Water Holes, Caves
Custodian: Geoscience Australia
Scale: 1:250,000
Coverage: Australia
Ending date: 9 June 2006
A part of the Terrain data in the TOPO 250K Series 3 Topographic dataset issued by Geoscience Australia. Springs are a place where water issues from the ground naturally. Lakes are naturally occurring bodies of mainly static water surrounded by land. Abstract: Water points are a combination of gnamma holes, native wells, pools, rock holes and soaks. Water holes are a natural depression that holds perennial water, within a non-perennial watercourse or a non-perennial lake. Caves are a naturally formed, subterranean open area or chamber.
URL link: http://www.ga.gov.au/meta/ANZCW0703008969.html
Box 8. Listed water bodies datasets used in the analysis
Title: Ramsar Wetlands Custodian: Department of Sustainability, Environment, Water, Population and Communities Scale: 1:25,000 Coverage: Australia Ending date: March 2007 Progress: Complete Protected by: The Environment Protection and Biodiversity Conservation Act 1999 (Commonwealth) Ramsar Wetlands are representative, rare or unique wetlands, or those considered important for conserving Abstract: biological diversity. They are included on the List of Wetlands of International Importance developed under the Ramsar Convention. URL link: http://www.environment.gov.au/cgi-bin/wetlands/alphablist.pl Title: Wetlands of National Significance: Directory of Important Wetlands in Australia
Custodian: Department of Sustainability, Environment, Water, Population and Communities
Scale: 1:250,000 (largely derived from GA Topo 250K Water Bodies data) Coverage: Australia Ending date: October 2008 Protected by: The Environment Protection and Biodiversity Conservation Act 1999 The directory not only identifies nationally important wetlands, it defines wetlands, their variety, and the Abstract: many flora and fauna species that depend upon them. URL link: http://www.environment.gov.au/water/topics/wetlands/database/diwa STEP 5. IDENTIFYING CONSERVATION FEATURES 25
Title: Environmental Protection (Swan Coastal Plain Lakes) Policy 1992 Custodian: Environmental Protection Authority Scale: 1:50,000 Coverage: Swan Coastal Plain Ending date: December 1992 Progress: Complete Protected by: The Western Australian Environmental Protection Act 1986 Details: www.epa.wa.gov.au The policy includes boundaries showing lake areas of environmental value on the Swan Coastal Plain. The Abstract: policy made the filling, draining, excavating, polluting and/or clearing of these lakes an offence unless authorised by the EPA. URL link: http://tinyurl.com/3wlf3n9 Title: Geomorphic Wetlands Swan Coastal Plain Custodian: Department of Environment and Conservation Scale: 1:25,000 Coverage: Swan Coastal Plain Ending date: December 2009 Progress: Complete Conservation category wetlands are “critical assets” and represent the most important environmental assets Protected by: for protection and conservation in the State (EPA, 2005). The dataset displays the location, boundary, geomorphic classification (wetland type) and management Abstract: category of wetlands on the Swan Coastal Plain. It includes Conservation Category Wetlands definitions in attributes. URL link: http://www.dec.wa.gov.au/content/view/5317/1610/ Title: Wetlands of the Wheatbelt Custodian: Department of Environment and Conservation Scale: 1:100,000 Coverage: Avon Wheatbelt Ending date: 30 October 2008 The data contained within the Basin Wetlands of the Wheatbelt and other prioritised areas mapping layer covers wetlands within most of the Wheatbelt region of south-western Western Australia, as well as a small Abstract: area of the Rangelands to the east and the Darling Scarp to the west. It includes Conservation Category Wetlands definitions in attributes. URL link: http://www.dec.wa.gov.au/content/view/5311/2213/
As a result, the conservation features selected for inclusion in All non-listed categories, or categories without listed examples the analysis consisted of a range of water bodies. These included: (e.g. wild rivers), were then stratified by IBRA regions. Box 9. uses the Swan Coastal Plain dataset as a working example and • Channels (listed); • Channels (non-listed); shows the entire process for this set of water body features. • Major rivers (listed); • Major rivers (non-listed); • Minor rivers (listed); • Minor rivers (non-listed); • Estuaries (listed); • Estuaries (non-listed); • Other caves; • Other water bodies; • Wetlands (listed); • Wetlands (non-listed); and • Wild rivers. South West Australian Ecoregion initiative 26
Box 9. Working example of wetlands data on the Swan Coastal Plain
The Swan Coastal Plain IBRA region has the highest human population in the SWAE. Subsequently, the wetlands data is reasonably well known and accurate, being captured at a scale of 1:25,000. However, the dataset does not indicate the condition of the wetlands. It is estimated that over 70% of wetlands on the Swan Coastal Plain have been lost or degraded (EPA, 2007). The data was filtered to ensure that only those wetlands suitable for conservation were included in the analysis.
The Swan Coastal Plain geomorphic wetland data was processed in the following way:
Category Details Data inclusion The highest level of wetland considered Conservation Category Included as “Listed Wetlands”. healthy wetlands.
Wetlands with a possibility to restore to Resource Enhancement Included as “Non Listed Wetlands”. former health.
Multi-use Used for multiple reasons. Not included due to possible degradation.
Not Assessed / Not Applicable No data. Not included. STEP 5. IDENTIFYING CONSERVATION FEATURES 27
Inland water species conservation features Granite outcrops Forty-eight species associated with inland water bodies were Granite outcrops were raised several times by experts as an included as conservation features, such as flora, crustaceans important surrogate for biodiversity as they provide a variety and fish (see Appendix 4.). These conservation features of microhabitats for plants and seasonal resources and refuge were processed in the same manner as the fauna and flora for a range of animals. These areas have rich biodiversity and conservation features. many endemic species are restricted to individual outcrops. Furthermore, they are significant locations that tie in with Aboriginal and European cultural heritage (Bayly, 1999; Granite Other conservation features Outcrops Symposium, 1997). A range of other conservation features were dealt with in specific Several available datasets within the project area show the ways to include them in the analysis. Here we provide details of location of granite outcrops. However, this data either covered the conservation feature creation and attribution for: the whole of the project area at a low resolution, or was highly • Granite outcrops; accurate in just one area only. Granite outcrops could also be • South-facing slopes (a surrogate used for invertebrate extracted from satellite imagery, but this type of processing diversity); and could not be completed within the project resource constraints. • Threatened Ecological Communities (TECs) and Priority Consequently, the CPT decided to amalgamate the existing Ecological Communities (PECs). datasets to create a full dataset for the ecoregion. This was done in the same manner as for the inland water body conservation features, with the most accurate dataset taking precedence over data of lesser accuracy. The various datasets used (see Box 10.) were cut and “stitched” together to form one seamless “blanket” of data that does not overlap. © Christina MY © Christina K Y T iu K / wwf-aus
Moaning Frog / Heleioporus eyrei South West Australian Ecoregion initiative 28
Box 10. Granite outcrop datasets used in the analysis
Title: Wetlands of the Wheatbelt
Custodian: Department of Environment and Conservation
Scale: 1:100,000
Coverage: Avon Wheatbelt
Ending date: October 2008
The data contained within the Basin Wetlands of the Wheatbelt and other prioritised areas mapping layer Abstract: covers wetlands within most of the Wheatbelt region of south-western Western Australia, as well as in a small area of the Rangelands to the east and the Darling Scarp to the west
URL link: http://www.dec.wa.gov.au/content/view/5311/2213/
Title: Western Australia Granite Outcrop Locations
Custodian: Wikipedia
Data origins: 1996 Gazetteer of Australia
Scale: GPS points
Coverage: Western Australia
Ending date: Ongoing
The dataset includes all gazetted rocks, boulders, pinnacles, crags, needles, pillars, rock formations and tors Abstract: in Western Australia, both inland and offshore. It does not include monoliths gazetted as mounts or hills, such as Mount Augustus.
URL link: http://en.wikipedia.org/wiki/Granite_outcrops_of_Western_Australia
Title: Pre-European Vegetation Dataset
Custodian: Department of Agriculture and Food, Western Australia
Scale: 1:250,000
Coverage: Western Australia
Ending date: February 2005
Comprehensive vegetation dataset based on J.S. Beard, with mapping of the south-west corner compiled by Abstract: A.J.M. Hopkins from various sources.
URL link: http://www.agric.wa.gov.au
Title: Deformation Areas
Custodian: Geoscience Australia
Scale: 1:250,000
Coverage: Australia-wide
Ending date: Current
A part of the Terrain data in the TOPO 250K Series 3 Topographic dataset issued by Geoscience Australia. Abstract: Deformation areas are a combination of distorted surfaces and outcrops.
URL link: http://www.ga.gov.au/meta/ANZCW0703008969.html STEP 5. IDENTIFYING CONSERVATION FEATURES 29
Apart from the Wetlands in the Wheatbelt dataset (with a scale The resulting layer was combined using the hierarchy shown in of 1:100,000 but a coverage of only the Avon Wheatbelt), all other Table 3., with a graphical representation shown in Figure 8. datasets that contain granite outcrop locations were of the same In order to capture the unique flora and fauna present within scale (1:250,000) and of the same coverage (Western Australia). different granite outcrops in different IBRA regions, this Reviewing each dataset against Google Earth gave an indication dataset was then stratified by IBRA region to create a number of of their relevant accuracy with regards to location. Each of these conservation features from the amalgamated dataset. datasets were clipped and stitched based on assessment by the technical team.
Table 3. Data hierarchy for granite outcrops
Spatial area Data title Scale Hierarchy Data attributes of greatest accuracy Granite outcrop attributes Wetlands of the Wheatbelt Avon Wheatbelt 1:100,000 1 Included all confidence types (low, medium and high)
WA Granite Outcrop North, North-West 1:250,000 2 All locations included locations
Rock outcrop vegetation association Pre-European Vegetation South, South-east 1:250,000 3 attribute used
Deformation Areas All other areas 1:250,000 4 Outcrop attributes used
Figure 8. Data hierarchy for granite outcrops South West Australian Ecoregion initiative 30
South-facing slopes Geoscience Australia has the only DEM dataset that covers Very little data existed on individual invertebrate species across the whole of the project area. It is a nine second (250-metre the SWAE and the limited number of species-level datasets could cell wide) model with an elevation accuracy error up to 200 m not represent the distribution of this diverse group of organisms. and an elevation range of 0 1,028 m. Box 11. contains details Invertebrate experts suggested microclimate or topographic of this dataset. surrogates as a way of identifying ecosystems that could represent South-facing slopes were determined by identifying areas in the diversity and distribution of invertebrate species. These surrogates nine-second DEM that had a gradient of 10% or more, and had a included deep gullies and south-facing slopes as they tend to slope bearing of between 135 and 225 degrees. These areas are contain more spiders and millipedes, while ridges and hills can shown in Figure 9. The south-facing slopes data was entered into indicate diversity of snails and millipedes. Unfortunately, data on Marxan as a “presence” in a planning unit. gullies, hills or ridges covering the ecoregion was inadequate and it was decided to use south-facing slopes only. South-facing slopes were extracted using gradient and aspect details found in readily available digital elevation models (DEM).
Box 11. GeoData dataset used in the analysis
Title: GEODATA Nine Second DEM (DEM-9S) Version 3 Custodian: Geoscience Australia Scale: 1:250,000 Coverage: Australia Ending date: June 2008 A gridded digital elevation model computed, using the ANUDEM elevation gridding program Version 5.2.2, Abstract: from continent-wide topographic data, including point elevations, streamlines, water body boundaries and cliff lines. The grid spacing is 9 seconds in longitude and latitude (approximately 250 m). URL link: http://www.ga.gov.au/meta/ANZCW0703011541.html
Figure 9. South-facing slopes and the nine-second DEM STEP 5. IDENTIFYING CONSERVATION FEATURES 31
Threatened and Priority Ecological Communities (PEC) are potentially threatened ecological communities that do not meet survey criteria or that are not communities (TECs and PECs) adequately defined (DEC, 2007). An ecological community is a naturally occurring biological TECs and PECs are referred and assessed by a panel of experts assemblage or group of plants and/or animals (or other living on the WA Threatened Ecological Communities Scientific things, such as microbes) that occurs in a particular type Committee (WATECSC) and, when listed, are indirectly of habitat. Ecological communities form ecosystems within protected by the Environmental Protection Act 1986 and their habitat. A Threatened Ecological Community (TEC) is Environmental Protection Regulations 2004 (DEC, 2007). Table subject to processes that threaten to destroy or significantly 4. describes the categories and Box 12. shows the single dataset modify it across much of its range, whereas Priority Ecological that exists for the TEC and PEC data.
Table 4. Categories of TECs and PECs
Type of community Categories Threatened Ecological Presumed totally destroyed; Critically endangered; Endangered; or Vulnerable Community
Priority 1 – Poorly known ecological communities; Priority 2 – Poorly known ecological communities;
Priority 3 – Poorly known ecological communities;
Priority Ecological Community Priority 4 – Ecological communities that are adequately known, rare but not threatened or meet criteria for near threatened, or that have been recently removed from the threatened list. These communities require regular monitoring; or
Priority 5 – Conservation-dependent ecological communities
Box 12. TEC and PEC dataset used in the analysis
Title: Threatened and Priority Ecological Community Sites
Custodian: Department of Environment and Conservation
Scale: GPS point location within 100 m accuracy. Polygons manually determined.
Coverage: Western Australia
Ending date: Ongoing
Ecological communities throughout WA that are presumed totally destroyed, critically endangered, Abstract: endangered, vulnerable, priority 1-5, lower risk and/or not evaluated. Communities are based on various lifeforms, including plants, invertebrates and micro-organisms.
URL link: http://www.dec.wa.gov.au/content/view/849/2017/
The data contained within the TEC and PEC dataset is provided Of the 2,401 points, 1,759 can be located within a polygon in either point or polygon data. (each polygon has at least one point allocated), leaving a total of 642 points with no polygon buffer. Of these, the buffer value Point data includes locations of both TECs and PECs, captured ranges from 30-45,000 m. Including the point buffer values was at GPS accuracy. It contains information pertaining to the site, considered important even though they may not necessarily its category and a suggested buffer value that encompasses the represent the site area accurately. As a result, the Conservation site. If a site is groundwater or surface water dependant, these Planning Team decided to use a standardised buffer size of 1 km areas will also be included in the buffer radius. for all points that did not coincide with a TEC or PEC polygon Polygon data includes buffers created around selected TEC boundary. This buffer was considered a way to determine the points that encompass the site with a more accurate boundary. presence of a TEC or PEC in the area, although not necessarily its extent. There were 2,401 points and 1,172 polygons within the TEC and PEC dataset, as shown in Figure 10. South West Australian Ecoregion initiative 32
Figure 10. All TEC and PEC data for the Southwest Australia Ecoregion
Vegetation conservation features While there are many vegetation type datasets applicable to It was considered important to include different vegetation types the SWAE, only the pre-European vegetation dataset (available and their extent as conservation features in this analysis. This from the Department of Agriculture and Food WA) covered the is because they represent different habitat types, for example project area completely. Although integrating more accurate jarrah-karri forests and shrublands, banksia and eucalypt vegetation datasets was considered (such as the System 6 or woodlands, heathlands, mallee and the arid savannah. Different the Regional Forest Agreement datasets from the Department vegetation types and extent can demonstrate areas that support of Environment and Conservation), expert advice suggested viable populations of species and habitat connectivity. They there would be too much bias towards the highly localised, can also act as a surrogate for ecological processes, represent more accurate datasets. To address this problem, the vegetation different habitat types and be rare or unique habitats in their dataset that covered the whole project area was used. This own right (for example kwongan heath, see Box 14.). In order dataset was then stratified by IBRA region. to include vegetation conservation features in Marxan, a conservation feature of the connectivity of the vegetation was The pre-European vegetation dataset used satellite imagery and created and the following two datasets sought: has been improved using aerial photography where possible. • Vegetation type (describing the vegetation communities); and This was the latest dataset available to show the vegetation extent for the project area. • Vegetation extent. Box 13 lists both datasets. STEP 5. IDENTIFYING CONSERVATION FEATURES 33
Box 13. Vegetation datasets used in the analysis
Title: Pre-European Vegetation Dataset
Custodian: Department of Agriculture and Food, Western Australia
Scale: 1:250,000
Coverage: Western Australia
Ending date: February 2005
Comprehensive vegetation dataset based on J.S. Beard, with mapping of the south-western corner compiled Abstract: by A.J.M. Hopkins from various sources.
URL link: http://www.agric.wa.gov.au
Title: Vegetation Extent Baseline Dataset (remnant vegetation)
Custodian: Department of Agriculture and Food, Western Australia
Scale: Various
Coverage: South-west Australia
Ending date: August 2008
A dataset containing vegetation extent polygons from the mapping of remnant vegetation in Western Abstract: Australia.
URL link: http://www.agric.wa.gov.au
The pre-European vegetation dataset contains a total of 490 As the pre-European vegetation dataset was broad and it is different vegetation types throughout the project area. This important to get representation across the ecoregion, the dataset was then clipped to the vegetation extent baseline conservation planning team stratified the vegetation data per dataset to indicate current vegetation extents. According to this IBRA region. Table 5. contains a breakdown of the remnant simple processing, 26% (176,625.8 km2) of remnant vegetation vegetation by IBRA region. in the project area (686,871 km2) has been cleared (Figure 11.). In order to stratify the vegetation types to the various bioregions, The following three vegetation types in the pre-European the data was clipped and cleaned. Considerable attention was vegetation dataset were not included as they were already paid to the vegetation types that were found on the edges of represented as other conservation features: bioregions, to ensure that sliver polygons did not bias the selection of areas in Marxan. • Salt lakes; • Freshwater lakes; and This stratification of remnant vegetation resulted in 862 new • Granite outcrops. vegetation data types. This can be separated into IBRA regions as shown in Table 6. South West Australian Ecoregion initiative 34
Figure 11. Remnant vegetation in the Southwest Australia Ecoregion
Table 5. Breakdown of remnant vegetation by IBRA region
Area of IBRA Area of remnant vegetation Area Percentage IBRA region name region (km2) in IBRA region (km2) cleared (km2) cleared (%) Avon Wheatbelt 95,163.86 17,304.56 77,859.3 82
Carnarvon 17,940.96 17,913.82 27.14 0
Coolgardie 129,170.47 126,893.14 2,277.33 2
Esperance Plains 29,133.32 14,834.29 14,299.03 49
Geraldton Sandplains 31,453.02 14,123.67 17,329.35 55
Great Victorian Desert 16,746.77 16,746.77 0 0
Hampton 10,412.89 10,380.08 32.81 0
Jarrah Forest 45,085.03 25,324.13 19,760.9 44
Mallee 73,955.07 40,902.81 33,052.26 45
Murchison 100,859.50 100,730.40 129.1 0
Nullarbor 62,990.37 62,990.37 0 0
Swan Coastal Plain 15,307.48 5,795.76 9,511.72 62
Warren 8,495.54 6,758.76 1,736.78 20
Yalgoo 50,156.90 49,546.68 610.22 1 STEP 5. IDENTIFYING CONSERVATION FEATURES 35
Table 6. Breakdown of vegetation types by IBRA region Box 14. Stratification of kwongan heath and mallee vegetation complexes Number of IBRA region name vegetation types Kwongan heath and mallee of the northern and southern Avon Wheatbelt 141 sandplains comprises floristically-rich heath with dense thickets of sclerophyllous shrubs and isolated small trees. Carnarvon* 36 It is one of the most botanically diverse vegetation types world-wide. Kwongan heath is characterised by nutrient- Coolgardie 89 poor sandy soils, frequent wildfire, a very high level of Esperance Plains 46 endemism, spectacular displays of wildflowers in spring, and a Mediterranean climate with winter rainfall and hot, Esperance Fitzgerald 6 dry summers (Pate et al., 1984). Esperance Recherche 6 Trying to capture a 15 km wide species turn-over within Geraldton Sandplains 73 the project area would result in an unnecessarily complex stratification system. The process used is detailed below. Great Victoria Desert* 9 1. Data extraction Hampton 5 A vegetation type could be associated with either kwongan Jarrah Forest 74 or mallee but not both.
Mallee 73 Kwongan heath
Mallee Eastern 7 Kwongan heath complexes were extracted from the pre- European vegetation dataset if they contained: Mallee Western 7 • Both “mallee” and “shrubland” in their description; or Murchison* 94 • Only “scrub heath” in their description. Nullarbor* 10 These datasets were then combined into a single kwongan dataset. Swan Coastal Plain 55 Mallee Warren 49 Mallee complexes were extracted from the pre-European Yalgoo 81 vegetation dataset if they contained “mallee” in their description and data was only selected if it had not already No data 1 been defined as a kwongan complex. A single mallee Total 862 dataset was then created.
*part of the 100 km buffer zone 2. Stratification The kwongan heath and mallee datasets created in step 1 were then stratified to create separate remnant kwongan Kwongan heath and mallee vegetation types and mallee datasets for each of the following IBRA regions: Changes in species composition is an important process in • Geraldton Sandplains; many ecosystems but rarely considered in systematic reserve • Swan Coastal Plain; site selection (Felinks et al., 2010). Expert advice was provided • Avon Wheatbelt; on the spatial turnover of kwongan heath and mallee vegetation • Coolgardie; types associated, particularly, with the Esperance Plains and Mallee IBRA subregions (Griffin et al. 1983; Burgman, 1988; • Esperance Plains; and Brown, 1989; Keighery, G., 2010, pers. comm). Additional • Mallee. processing is outlined in Box 14. South West Australian Ecoregion initiative 36
Vegetation connectivity Step three Spatial patterns of vegetation at the regional scale are important Select all the other (not Tier 1) planning units that surround and because the proximity and arrangements of patches of vegetation are contiguous with the Tier 1 planning units (named Tier 2). influences the persistence of animal species that have different Find the vegetation average in Tier 2 by: minimum habitat requirements and vary in their ability to • Adding the total amount of vegetation area found in those move across open ground. In addition, vegetation proximity can planning units; and influence the genetic flow between flora and fauna species (Tews • Dividing by the number of planning units selected et al., 2004; Johnson et al., 2007). (12 in total). Further to the remnant vegetation type and extent dataset Weight this amount by two. processing above, a dataset that could be used to determine the connectedness of remnant vegetation was developed for this Step four analysis. No readily available dataset captured the connectivity Select all the other (not Tier 1 or Tier 2) planning units that of remnant vegetation throughout the project area, although the surround and are contiguous with the Tier 2 planning units underlying data required already exists – namely the vegetation (named Tier 3). extent baseline dataset, which was used to model this dataset. The model was developed based on a relatively simple premise Find the vegetation average in Tier 3 by: of adjacency: that connectivity could be calculated based on the • Adding the total amount of vegetation area found in those amount of remnant vegetation found within a planning unit and planning units; and that of its neighbouring planning units. • Dividing by the number of planning units selected (18 in total). A connectivity value was calculated for each planning unit using the following six-step process. Step five Step one Add all values for Tier 1, Tier 2 and Tier 3. Select any planning unit, which temporarily becomes the Step six “central” planning unit for this process. When this process Place this value in the central planning unit cell, as an estimate is repeated, the subsequent planning unit then becomes the of connectivity. “central” planning unit. Figure 12. illustrates the calculation for this process. Step two Box 15. contains a working example. Select all planning units that immediately surround and are contiguous with the central planning unit (named Tier 1).
Find the vegetation average in Tier 1 by: • Adding the total amount of vegetation area found in those planning units; and • Dividing by the number of planning units selected (six in total). Weight this amount by three.
Figure 12. Vegetation connectivity model
Connectivity in central planning unit = Central PU ((A)/6) x 3) + ((B)/12) x 2) + (C)/18 = Y Where: Tier 1 with a weighting of x 3 A: total area of remnant vegetation per km2 per planning unit within Tier 1
Tier 2 with a weighting of x 2 B: total area of remnant vegetation per km2 per planning unit within Tier 2
Tier 3 with a weighting of x 1 C: total area of remnant vegetation per km2 per planning unit within Tier 3 STEP 5. IDENTIFYING CONSERVATION FEATURES 37
Box 15. Example of determining vegetation connectivity
If the maximum amount of vegetation in one planning unit is 2.5 km2, then: A: Tier 1 total veg cover = 9.0 (1.5 + 2.0 + 2.0 + 2.0 + 1.5 + 0.0) 0.5
A total of six planning units 1.5 2.5 B: Tier 2 total veg cover = 18.5 1.0 0.5 2.0 (0.5 + 2.0 + 2.0 + 2.5 + 2.5 + 2.0 + 1.0 + 1.5 + 1.0 + 1.0 + 1.5 + 1.0) 2.5 1.0 2.0 2.5 A total of 12 planning units 1.5 1.5 2.0
C: Tier 3 total veg cover = 25 0.0 0.0 2.0 2.5 (0.5 + 2.5 + 2.0 + 2.5 + 2.5 + 2.5 + 1.0 2.5 + 2.0 + 1.0 + 1.0 + 0.5 + 0.5 + 2.5 0.0 + 0.0 + 0.0 + 2.5 + 1.0 + 1.5) 0.0 1.5 2.0 2.5
A total of 18 planning units 1.0 2.0 2.5 Calculations: 0.0 1.5 2.0 2.5 Using the connectivity formula: 0.5 1.0 2.0 ((A)/6) x 3) + ((B)/12) x 2) + (C)/18 ((9)/6) x 3) + ((18.5)/12) x 2) + (25)/18 0.5 1.0
4.5 + 3.08 + 1.38 1.0 Central planning unit vegetation connectivity value = 8.96
Due to the size of this project area, the shape of the grids and the complexity of the filter tiers, this process was automated using Python scripting. This script is available from WWF on request.
Figure 13. provides an example of the vegetation connectivity data.
Figure 13. Vegetation connectivity model South West Australian Ecoregion initiative 38
STEP 6. APPLYING CONSERVATION FEATURES TO PLANNING UNITS
Data used in this analysis was available in a range of Area per planning unit different formats (points, lines and polygons). All data This method was used for any polygon dataset, such as was standardised and formatted consistently for the vegetation types. If a conservation feature polygon intersected with a planning unit, its area in that planning unit (in km2) was Marxan analysis. All data types were transformed to calculated. If a point dataset was buffered for any reason, such a regular grid structure of hexagonal cells to identify as Threatened and Priority Ecological communities, or sensitive and minimise bias in the way data was treated. locations such as Carnaby’s black cockatoo breeding sites, then the result was also entered into Marxan as area for each planning Conservation features were allocated to planning units unit. All area values were rounded to six decimal places. No data depending on data and target achievement and were attributed was entered if its size was less than 1 m2. Due to the size of the to a planning unit in one of three ways, according to: planning units, the maximum amount any conservation feature could have in a planning unit was 2.598076 km2 (the area of the • Their presence in a planning unit (e.g. 1); planning unit). This is shown in Figure 15. • The area of a planning unit (e.g. 0.2511 km2 within a grid cell); or Value per planning unit • Their value based on modelling (e.g. 2.35 out of a possible This process was used for the vegetation connectivity data. Each 15.58 for vegetation connectivity). grid cell was allocated a value, based on the processing results, as shown in Figure 16. Presence in a planning unit This method was used mainly for point or line datasets (such Figure 16. Examples of the value per planning unit method as specific flora and fauna species locations, or waterways). Table 7. lists how data from each category was applied to the However, some polygon data was included as a “presence” in a planning units across the various conservation features. planning unit, for example granite outcrops. Because granite outcrops were a combination of points and polygons, all data was entered as a “presence” in a planning unit. If point or line data occurred within a planning unit, it was allocated a single value of 1, indicating “presence”, even if more than one point or line for a conservation feature was found in the planning unit. This is illustrated in Figure 14.
Table 7. Methods for applying conservation features to planning units
Asset class Method used for attribution Fauna Presence in a planning unit
Flora Presence in a planning unit
Inland water bodies Area per planning unit
Inland water species Presence in a planning unit
Other Presence in a planning unit and area per planning unit
Vegetation Area per planning unit and value per planning unit STEP 6. APPLYING CONSERVATION FEATURES TO PLANNING UNITS 39
Figure 14. Examples of presence in a planning unit method
CF Type PU ID Amount
ExCaFm Typplee A PU3 ID Am1ount
Example A 34 1 CF Type PU ID Amount Example A 45 1 Example A 3 1 Example A 57 1 Points Example A 4 1 Example: Bird species location Example A 7 1 Points Example A 5 1 Example: Bird species location Points Example A 7 1 CF Type PU ID Amount Example: Bird species location ExCaFm Typplee B PU1 ID Am1ount
Example B 12 1 CF Type PU ID Amount Example B 24 1 Example B 1 1 Example B 47 1 Lines Example B 2 1 Example: Rivers Example B 7 1 Lines Example B 4 1 Example: Rivers Figure 15. Examples of the area per planning unit method Lines Example B 7 1 Example: Rivers CF Type PU ID Amount
ExCaFm Tpyplee C PU1 ID Am0.oun55 t
Example C 21 0.155 CF Type PU ID Amount Example C 42 0.4105 Example C 1 0.55 Example C 54 0.8490 Polygons Example C 2 0.15 Example: Vegetation Example C 5 0.89 Polygons Example C 4 0.40 Example: Vegetation Polygons ExCaFm Typplee C PU5 ID Am0oun.89 t Figure 16. ExExamplesample: Ve of gtheeta valuetion per planning unit method ExCaFm Typplee D PU1 ID Am15oun.1 t
Example D 21 015.2.15 CF Type PU ID Amount Example D 23 01..245 Example D 1 15.1 Example D 34 101.4.3 Example D 2 0.25 Example D 54 510.6.35 Example D 3 1.4 Modeling Example D 56 58.6052 Example: Connectivity Example D 4 10.3 Modeling Example: Connectivity Example D 67 148..0525 Example D 5 5.65 Modeling Example D 7 14.55 Example: Connectivity Example D 6 8.02 Example D 7 14.55 South West Australian Ecoregion initiative 40
STEP 7. SETTING TARGETS
Setting targets specifying how much of each Target for Conservation Feature = Base (15%) + AOR (15%) + conservation feature should be captured within the Listed (45%) + Endemic (15%) analysis is a required Marxan input. These targets In this terminology, the following definitions apply: serve as initial expert estimates of the necessary • Base – the general base percentage given to all conservation levels of replication and abundance needed to ensure features (no target can be below this amount; i.e. no conservation feature included in the analysis should fail conservation feature persistence. to be represented to at least the base level in any Marxan solution); Targets are expressed as the amount of viable occurrences or area within the SWAE and ranged from 15 to 100%. The target for • AOR (Any Other Reason) – any taxa specifically each conservation feature was derived using specific rules that recommended through expert engagement and any taxa responded to the conservation status, endemism, threats used listed as Priority 4 or 5 under the Western Australian in the analysis and any special circumstances that the experts Wildlife Conservation Act 1950; felt needed to apply (for example, population declines or being • Listed – any taxa listed as Priority 1, 2, or 3 under the an indicator for ecosystem health). Higher targets ensure that Western Australian Wildlife Conservation Act 1950 and any more of the conservation feature will be selected in the outcome; species listed as threatened under the Federal Environment however setting high targets does restrict flexibility within the Protection and Biodiversity Conservation Act 1999 ; and software by removing potential choices. A lower target may be • Endemic – any taxa listed as endemic to the SWAE, attributed to a surrogate, or perhaps a less threatened species, determined through reference materials or expert while a higher target would normally be needed for a threatened recommendation. community or a species on the brink of extinction. Target Box 16. contains a working example of how this target formula achievement relates to how well targets have been met within was applied to the western false pipistrelle (Falsistrellus the solution. mckenziei). Target formulae Two main formulae were used to create targets in a systematic manner (See Appendix 4. for a full list of the conservation features used in the analysis, with their targets). The first formula applied to all conservation features apart from the vegetation type and extent datasets, and had the possibility of achieving a maximum score of 90%. It is demonstrated as:
Box 16. Example of target-setting for fauna conservation features
Marxan ID: 2007
Scientific Name: Falsistrellus mckenziei
Common Name: Western False Pipistrelle
AOR: Expert recommendation (threatened), DEC Priority Listing (4)
Listed: No
Endemic: Yes
Base (15%) + AOR (15%) + Listed (0%) + Endemic (15%)
Total target: 45% STEP 7. SETTING TARGETS 41
The second formula was applied to the vegetation conservation The rationale behind this vegetation formula is to: features and consisted of: • Recognise the high spatial turnover values of both kwongan (Base (15%) + mallee or kwongan heath (60-80%) + Threats heath and mallee vegetation types; (5-15%)) x (Pre-Europe/Remnant Veg) • Capture a greater percentage of vegetation types that have In this terminology, the following definitions apply: been subject to more clearing (and are subsequently less available) relative to pre-European extent; and • Base – general base percentage given to all conservation • Identify those vegetation types that are at risk of the three features; threats included in the analysis. • Mallee – if the vegetation conservation feature is a mallee A maximum score for this formula was 100%. Two working vegetation complex; examples of this formula are presented in Box 17. • Kwongan heath – if the vegetation conservation feature is a kwongan heath vegetation complex; • Threats – if a vegetation type at any time intersects with one, two or three threats (salinity, urbanisation, Phytophthora dieback). An incremental 5% weighting was given with a maximum weighting of 15% for all three threats. See Step 8. Introducing a Cost Layer for details about threat processing; • Pre-Europe – the pre-European extent in km2; and • Remnant vegetation – the current extent of remnant vegetation in km2.
Box 17. Examples of setting targets for vegetation conservation features
Working example 1:
Description: Shrublands Acacia I Carnarvon
Shrublands; Acacia sclerosperma, A. bowgada and A. victoriae scrub
Base:
Base: Yes (all conservation features receive a base weighting) 15%
Mallee: No (not a mallee vegetation type) 0%
Kwongan: No (not a kwongan vegetation type) 0%
Threats:
Urban: Yes (it has been affected by roads) 5%
Phytophthora dieback: No (it hasn’t been affected by dieback) 0%
Salinity: No (it hasn’t been affected by salinity) 0%
Pre-European extent: 470.962 km2
Remnant vegetation: 470.962 km2
Calculations: 1. ((Base (15%)) + Threats (5%)) x Pre-Europe (470.962)/Remnant Veg (470.962)
2. (0.20 x 470.962)/(470.962) = 0.199 (19.9%)
3. Convert to a percentage with a maximum of 100%
Conservation Target = 20% continued over South West Australian Ecoregion initiative 42
Working example 2:
Vegetation type: Shrublands Scrub heath G Geraldton Sandplains
Description: Shrublands; scrub-heath on yellow sandplain, Banksia-xylomelum alliance
Base:
General Yes (all conservation features receive a base weighting) 15%
Mallee: No (is not a kwongan vegetation type) 0%
Kwongan: Yes (is a kwongan vegetation type) 65%
Threats:
Urban: Yes (it has been affected by roads) 5%
Phytophthora dieback: No (it hasn’t been affected by Phytophthora dieback) 0%
Salinity: Yes (it has been affected by salinity) 5%
Pre-European extent: 1737.444 km2
Remnant Vegetation: 555.784 km2
Calculations: 1. ((Base (80%)) + Threats (10%)) x Pre-Europe (1737.444)/Remnant Veg (555.784)
2. (0.90 x 1737.444)/(555.784) = 2.81 (281%)
3. Convert to a percentage with a maximum of 100%
Conservation Target = 100%
the most stressed area for biodiversity in Western Australia, due Special formulae to widespread loss of native vegetation, fragmentation of habitat, Three exceptions were made to these formulae for specific land salinisation and relatively minimal protection under the conservation features: conservation estate (May and McKenzie, 2002). However, large • Inland water bodies; intact areas of remnant vegetation still persist in other IBRA • Threatened and Priority Ecological communities; and regions. The Carnarvon IBRA region, for example, has nearly all • Vegetation connectivity. of its vegetation intact.
Inland water body conservation features A target of 20% was selected for connectivity to ensure a balance between the disparities of remaining vegetation in different Due to a range of specific issues relating to inland water bodies IBRA regions. identified during expert engagement, it was resolved to represent these conservation features as shown in Table 8. Threatened and Priority Ecological community conservation targets Vegetation connectivity conservation target Conservation targets for the TEC and PEC conservation features The legacy of clearing, particularly in the Wheatbelt and coastal were determined by the conservation planning team as shown zones, has resulted in some parts of the SWAE becoming highly in Table 9. fragmented. The Avon Wheatbelt IBRA region has been rated as STEP 7. SETTING TARGETS 43
Table 8: Inland water body conservation target values
Listed/ Target Type Examples Target reasoning Stratified Not listed (%) Wetlands, lakes (permanently Listed as important by a Listed 100 No inundated basins), sumplands panel of official peers (seasonally inundated basins)
Palusmonts, damplands (seasonally waterlogged basins), paluslope (seasonally waterlogged slopes), palusplains (seasonally Wetlands waterlogged flats), other basin Expert recommendation Yes, by IBRA wetlands, floodplains, artificial Not listed 45 (as with flora and fauna region lakes, artificial channels, targets) basins, flats (e.g. land subject to inundation, marine swamps, saline coastal flats or swamps), slopes, land subject to inundation, saline coastal flats, swamps
Listed as important by a Listed 100 No panel of official peers Channels, Mainstream, major river, Only a few major rivers. Major rivers major tributary Yes, by IBRA Not listed 80 Important to capture those in region drier areas
Listed as important by a Listed 100 No Channels, Minor river, minor tributaries, panel of official peers Minor rivers significant stream High number of minor rivers Yes, by IBRA Not listed 30 in SWAE. Lower target region
Listed as important by a Listed 100 No Any river data shown as an area panel of official peers Channel (i.e. polygon format) shows the Expert recommendation, areas Yes, by IBRA boundaries of river banks Not listed 45 target similar with flora and region fauna targets
Listed as important by a Listed 100 No panel of official peers Estuaries Estuaries Only a few available and at Yes, by IBRA Not listed 90 high risk of development region
Springs, water holes, water points, Other Important areas of water and Yes, by IBRA gnamma holes, native wells, pools, Not listed 90 water bodies refugia for flora and fauna region soaks, rock holes
Expert recommendation, Yes, by IBRA Other caves Caves Not listed 45 target similar with flora and region fauna targets © PHIL LEWIS / wwf-aus Walker’s Bencubbin Walker’s Bencubbin No Yes, via IBRA region Yes, via IBRA region Stratified tive 45 90 100 Target % Threatened and Priority Ecological community Ecological community and Priority Threatened conservation targets Conservation targets the for TEC and PEC conservation features were determined by the conservation planning team as shown 9. in Table All 1, 2 and 3 4 and 5 Category coregion initi a n Ecoregion tralia st Aus th We Sou Threatened Ecological Community Sites Priority Ecological Community Sites Priority Ecological Community Sites Type Table 9. TEC and PEC conservation targets targets Table 9. TEC and PEC conservation The legacy clearing, of particularly in the Wheatbelt and coastal zones,has resulted in some parts the of SWAE becoming highly fragmented. WheatbeltThe Avon IBRA region has been rated as the most stressed area biodiversity for in Western Australia, due widespreadto loss native of vegetation,fragmentation habitat, of land salinisation and relatively minimal protectionunder the conservation estate (Maylarge and McKenzie,However, 2002). intact areas remnant of vegetation still persist in other IBRA regions.The Carnarvon IBRA region,example, for has nearly all itsof vegetationintact. A target was 20% of selected connectivity for ensure to a balance between the disparities remainingof vegetation in different IBRA regions. Vegetation connectivity conservation target connectivity Vegetation 44 STEP 8. IDENTIFYING AND DEFINING LOCK-INS 45
STEP 8. IDENTIFYING AND DEFINING LOCK-INS
This step recognises that there are some areas within Choosing lock-ins the SWAE that are already afforded protection Lock-ins included in this analysis included any parcel of land and management within the conservation estate. that was: Acknowledging these areas as the foundation of • Classified as an IUCN category of Ia, II, III or IV (see Table 10.). As the purpose of categories V and VI is not strictly for newly prioritised areas is important as it builds on nature conservation, they were not included; or current investment, increases the size and capacity • Classed as a of areas already protected through statutory means, >> Conservation park; provides protection and buffering, and better >> National park; connects these areas. Lock-ins are those planning >> Nature reserve; units that represent areas already fixed within the >> 5(1)(h) Reserve with “land use” specified for conservation estate. Marxan aims to identify how “conservation”; and >> 5(1)(g) Reserve with “land use” specified for it can achieve target solutions within locked-in “conservation”. planning units before searching outside.
Table 10. IUCN categories (Dudley, 2008)
IUCN category Purpose of management Ia Strict protection – is “Strict Nature Reserve”
II Ecosystem conservation and protection
III Conservation of natural features
IV Conservation through active management
V Landscape/seascape conservation and recreation
VI Sustainable use of natural resources South West Australian Ecoregion initiative 46
Lock-in data purposes (e.g. timber reserves) or included in the SWAE project The DEC is the custodian of a range of managed land and waters area (e.g. marine reserves). Table 11. contains a full listing of the within Western Australia. A dataset (see Box 18.), sourced from categories in the DEC dataset, along with the number of these DEC, shows their geographic extent. areas in Western Australia and the project area. The figures were tallied by taking the unique combination of the category of The DEC dataset contains a variety of different categories of the polygon lists both datasets. managed lands and waters. Not all are managed for conservation
Box 18. DEC-managed lands and waters
Title: DEC-managed Lands and Waters
Custodian: Department of Environment and Conservation
Scale: Not given (although based on cadastre data)
Coverage: Western Australia
Ending date: June 2003
DEC-managed lands and waters within Western Australia. This responsibility is vested under the DEC Act Abstract: and Wildlife Conservation Act.
URL link: https://www2.landgate.wa.gov.au/web/guest
Table 11. DEC-managed lands and waters categories
DEC category No. in WA No. in the SWAE 5(1)(g) Reserve 59 54
5(1)(h) Reserve 83 47
CALM exec body 2 2
CALM exec body freehold 406 402
Conservation park 60 50
Former leasehold 3 2
Marine management area 2 0
Marine nature reserve 1 0
Marine park 16 7
Miscellaneous reserve 62 54
National park 161 142
Nature reserve 1286 1191
State forest 60 60
Timber reserve 76 76
This created a lock-in dataset (see Box 19.) that covered a range of areas, as shown in Figure 17. STEP 8. IDENTIFYING AND DEFINING LOCK-INS 47
Figure 17. Lock-ins used in the Southwest Australia Ecoregion
Box 19. Lock-ins dataset used in the analysis
Title: SWAEI Lock-ins
Custodian: SWAEI
Scale: Not given (although based on DEC-managed lands and waters, which, in turn, is based on cadastre data)
Coverage: Covers the entire SWAEI project area
Ending date: May 2011
This dataset was created specifically for the SWAEI project as a lock-in layer to be used in the Marxan Abstract: analysis. It contains a subset of the DEC-managed lands and waters that are classed as strictly for nature conservation.
URL link: N/A South West Australian Ecoregion initiative 48
Applying lock-ins to planning units In order to finalise the preparation of the lock-ins, the selected areas in the lock-in dataset had to be applied to the planning units. To ensure that all areas of conservation were selected, if any part of the lock-in polygon areas intersected a planning unit, no matter how small that area might be, then the whole planning unit was selected as a lock-in. Figure 18. contains an example of this.
Figure 18. Applying lock-ins to planning units STEP 9. INTRODUCING A COST LAYER 49
STEP 9. INTRODUCING A COST LAYER
Cost layer By introducing a “threat layer”, solutions were preferentially selected away from planning units that had any of the threats Finally, a “suitability” component was included in the associated with them. Using this criterion, the following threats were used in this project: analysis. This is where numerical values are identified • Phytophthora dieback: the extent and range (caused through a matrix. Although one cost is assigned to primarily by Phytophthora cinnamomi); each planning unit, several measures can be combined • Salinity: high water tables resulting in salt rising to the soil to create a cost metric. In this systematic conservation surface; and • Urbanisation: the impact of human habitation and related planning project, the cost layer included three activities. threatening processes (urbanisation, Phytophthora dieback and salinity), land tenure, zoning and uses. Phytophthora dieback These were grouped according to their suitability Phytophthora dieback is an introduced plant disease caused primarily by the pathogen Phytophthora cinnamomi. Nearly half for conservation management. Numerical values of Western Australia’s plant life is threatened by Phytophthora were assigned in the matrix to represent the degree dieback and over half of the State’s rare or endangered plant life of impediments to likely conservation success. This is at risk (Dieback Working Group, 2011). essentially makes less suitable areas more costly A number of datasets showing the extent of Phytophthora dieback were sourced from South Coast NRM Inc (see Box 20.), to protect and less likely to be selected. who are the custodians of this data. As noted in the metadata This process was used to distribute conservation priorities to for these datasets, this data was initially compiled in the 1970s locations amenable to effective management and long-term from aerial photography and some ground-truthing. The persistence of the conservation features. This step defines the datasets have been subsequently updated and revised using current degree of landscape degradation and fragmentation updated photography and additional ground-truthing. However, and/or the probability of degradation and fragmentation in the the metadata statement does make reference to the fact that future. It uses spatial data that represents current or future infestations may be underestimated in areas that have not been human infrastructure, activity and land-use. resurveyed recently. Figure 19. provides an overview of this data.
Threats Threats not only increase management costs but, additionally, can compromise biodiversity value over time, particularly in the absence of appropriate management regimes. While a range of threats impact the conservation of biodiversity within the SWAE, a set of criteria was used to identify which threats would be included in this project. These criteria included: • The availability of spatial data demonstrating the extent of the threat; • The relevance of data at the ecoregion scale; and • Whether or not the threat was considered regionally significant. South West Australian Ecoregion initiative 50
Box 20. Phytophthora dieback datasets used in the analysis
Title: Project Dieback (Phytophthora cinnamomi) Strategic Mapping, Northern Agricultural NRM Region
Custodian: South Coast NRM Inc
Scale: 1:4,500; 1:20,000; 1:25,000 and 1:100,000
Coverage: Northern Agricultural NRM Region
Ending date: November 2008
Project Dieback is a Natural Resource Management (NRM) initiative that gets community, government and Abstract: industry working together to take on this challenge.
URL link: http://www.dieback.net.au/
Title: Project Dieback (Phytophthora cinnamomi) Strategic Mapping, South Coast NRM Region
Custodian: South Coast NRM Inc
Scale: 1:4,500; 1:20,000; 1:25,000 and 1:100,000
Coverage: South Coast NRM Region
Ending date: November 2008
Project Dieback is a Natural Resource Management (NRM) initiative that gets community, government and Abstract: industry working together to take on this challenge.
URL link: http://www.dieback.net.au/
Title: Project Dieback (Phytophthora cinnamomi) Strategic Mapping, Southwest NRM Region
Custodian: South Coast NRM Inc
Scale: 1:4,500; 1:20,000; 1:25,000 and 1:100,000
Coverage: South-west NRM Region
Ending date: November 2008
Project Dieback is a Natural Resource Management (NRM) initiative that gets community, government and Abstract: industry working together to take on this challenge.
URL link: http://www.dieback.net.au/
Title: Project Dieback (Phytophthora cinnamomi) Strategic Mapping, Swan and Avon NRM Regions
Custodian: South Coast NRM Inc
Scale: 1:4,500; 1:20,000; 1:25,000 and 1:100,000
Coverage: Swan and Avon NRM Regions
Ending date: November 2008
Project Dieback is a Natural Resource Management (NRM) initiative that gets community, government and Abstract: industry working together to take on this challenge.
URL link: http://www.dieback.net.au/ STEP 9. INTRODUCING A COST LAYER 51
Figure 19. Phytophthora dieback datasets used in the threat analysis
Once these component datasets were amalgamated, it was Salinity possible to separate areas possibly affected by Phytophthora Salinity, caused by the clearing of native vegetation for agriculture dieback based on the nine different categories in the data. or other activities, is considered to be a significant threat to Using expert advice, it was decided that categories 1 and 2 were biodiversity in the SWAE. Western Australia has the largest area considered the most suitable for inclusion in this analysis. Those of dryland salinity in Australia and the highest risk of increased areas considered both “infested high confidence” and “infested salinity in the next 50 years. An estimated 4.3 million hectares medium confidence” were geographically demarcated by the (16%) of the south-west region has high potential for developing combined datasets, which are defined as: salinity from shallow water tables. This is predicted to rise to 8.8 • Category 1: Infested High Confidence million hectares (33%) by 2050 (EPA, 2007). >> Degraded vegetation; In order to map this threat, two datasets were sourced for the >> trong pattern evident; project, as shown in Box 21. The Land Monitor project provided >> Chronology of deaths; two salinity datasets: New Salt Mosaic and Old Salt Mosaic. The >> Positive sample recovered and/or previously interpreted Old Salt Mosaic dataset was extracted from satellite imagery as infested; taken between 1988 and 1991 and the New Salt Mosaic dataset >> High concentration of vectors in the vicinity; and from 1991 to 1998. As the New Salt Mosaic dataset is considered a supplementary dataset to the Old Salt Mosaic dataset, both >> Polygon can be as small as 5 hectares. were included in the analysis (Vogwill, R., pers. comm, 2010). • Category 2: Infested Medium Confidence >> Increased water migration; >> Presence of vectors and/or disturbance; >> Some canopy reduction; >> Previously interpreted as suspect; and >> Medium concentration of vectors in the vicinity. South West Australian Ecoregion initiative 52
Box 21. Salinity datasets used in the analysis
Title: New Salt Mosaic Zone 50 and 51
Custodian: Department of Environment and Conservation (Land Monitor)
Scale: 1:50,000
Coverage: South-west Australia
Ending date: 1998
Abstract: Additional mapping and monitoring from Old Salt Mosaic from 1991 to 1998.
URL link: http://www.landmonitor.wa.gov.au/
Title: Old Salt Mosaic Zone 50 and 51
Custodian: Department of Environment and Conservation (Land Monitor)
Scale: 1:50,000
Coverage: South-west Australia
Ending date: 1991
The Land Monitor project is a part of the Western Australian Salinity Action Plan and is supported by the Natural Heritage Trust. The project originally aimed to systematically monitor salt-affected land and Abstract: remnant vegetation change over the agricultural area of south-western Western Australia. Its objectives were to map and monitor changes in the area of salt-affected land from 1988 to 1991.
URL link: http://www.landmonitor.wa.gov.au/
The Land Monitor salinity dataset was compiled using satellite Urbanisation imagery collected over 10 years in the height of the “growing The final threat included in the project was urbanisation, to season”. Automated processing was applied annually to each represent the effect of human habitation on the environment. image to ascertain areas showing constant “low production”, Although this category is broad, the purpose of including this such as dams, degraded land and low pasture growth (Caccetta layer as a threat was to move selected areas away from: et al., 2000). Local government completed further ground- truthing to determine the accuracy of outputs. • Areas that have been zoned as urban, urban-deferred or industrial, as they are likely to be cleared or will be in the As this process uses a surrogate of “low production” to determine future; areas of salinity, consistently bare landscapes such as water- • Land that may be more expensive to acquire; and logged areas may be incorrectly classified as having salinity • Areas that may have many management issues associated problems and there may be naturally saline areas that are not with human population. For example, the number of taken into account. Although naturally saline landscapes are introduced plants and animals, altered fire regimes, roads, areas of unique and rare biodiversity (and ultimately should be traffic or infrastructure. conserved), there is currently no dataset that accurately shows In the 2009 SWAEI project, urbanisation was represented using where these areas are located (Vogwill, R., pers. comm, 2010). three approaches: Figure 20. shows the combined salinity threat dataset. • A Geoscience Australia dataset for all areas outside of the In addition to the Old and New Salt Mosaic datasets, Land Perth metropolitan region, called built-up area boundaries; Monitor also produces a Predicted Salinity dataset. This data • Local government boundaries for all Perth metropolitan is derived from height data, ground-truthing and existing suburbs; and datasets and states areas at risk from developing high water • A Geoscience Australia “roads” dataset (not including tables. It covers most of the Wheatbelt area and usually follows tracks) with a 5 m buffer either side. This dataset is digitised waterways. As the process followed for this dataset differs to the at 1:250,000 and covers the whole of Australia. It includes Old and New Salt Mosaic datasets, the two do not necessarily classifications from “primary road” down to “unsealed match when comparing outputs. tracks” but although there is significant coverage of regional roads, the detail in town centres is limited. This dataset is As predictive modelling was not used for the other threats, it shown in Figure 21. was decided to exclude this dataset from the analysis. Predictive modelling also introduces an element of uncertainty. STEP 9. INTRODUCING A COST LAYER 53
Figure 20. Salinity threat dataset
Figure 21. Geoscience Australia roads dataset used in the 2009 analysis
This approach was modified to use cadastre data to better represent roads. This data more accurately defines road width and location, especially in more urban areas. This dataset is shown in Figure 22 South West Australian Ecoregion initiative 54
Figure 22. Geoscience Australia roads dataset
The Department of Planning’s Regional Planning Schemes and Although using local government planning data exclusively Local Government Planning Schemes were identified as being to determine urban boundaries is ideal, this was not possible the most suitable data for determining areas of high population. due to the large number of local governments in the project Any areas that were identified as part of the three Regional area (126), the difficulty in obtaining data in a readily usable Planning Schemes relevant in the south-west of Australia format and the time needed to process this data. (Greater Bunbury Regional Scheme (GBRS), Peel Regional As with the Regional Planning Schemes, a number of categories Scheme (PRS) and Perth Metropolitan Regional Scheme were used to extract “urban” defined areas from the Local (PMRS)) and met the following classification were extracted as Government Planning Schemes. For the Avon Land Use Plan surrogates for high population areas: that included “urban settlements” and “industry”, and for the • Urban – areas in which a range of activities are undertaken, Esperance Structure Plan this included “urban – existing and including residential, commercial, recreational and light future” and “light/general industry – existing and future”. industry; Once these datasets were amalgamated, this created the dataset • Urban-deferred – land identified for future urban uses shown in Figure 23. following the extension of urban services, the progressive development of adjacent urban areas, and resolution of Smaller town sites not covered by the Regional Planning any environmental and planning requirements relating to Schemes or Local Government Planning Schemes were captured development; and using the Landgate Cadastral “Public Roads” data. This is based • Industry – land in which manufacturing, processing, on the presumption that the higher the road density, the higher warehousing and related activities are undertaken.To the population. identify major town sites outside of the Regional Planning Box 22. contains a full list of the datasets used in the compilation Schemes, two Local Government Planning Schemes (Avon of the urbanisation threat layer. Land Use Plan and the Esperance Structure Plan) were used. STEP 9. INTRODUCING A COST LAYER 55
Figure 23. Urbanisation threat dataset
Box 22. Urbanisation datasets used in the analysis
Title: Spatial Cadastral Database
Custodian: Landgate (Department of Land Information)
Scale: Survey accuracy
Coverage: Western Australia
Ending date: Ongoing
The SCDB is an integrated database comprising a number of layers of digital spatial data, defining all crown Abstract: and freehold land parcels within Western Australia.
URL link: http://www.landgate.wa.gov.au/corporate.nsf/web/ Spatial+Cadastral+Database
Title: Metro Regional Scheme
Custodian: Department of Planning and Infrastructure
Scale: 1:500
Coverage: Perth Metro Area
Ending date: Continual
The Metropolitan Region Scheme (MRS) is a large town planning scheme for land use in the Perth Abstract: metropolitan area. The MRS defines the future use of land, dividing it into broad zones and reservations. It requires local government town planning schemes to provide detailed plans for their part of the region.
URL link: http://www.planning.wa.gov.au/ The+planning+system/Region+schemes/default.aspx South West Australian Ecoregion initiative 56
Title: Peel Regional Scheme
Custodian: Department of Planning and Infrastructure
Scale: Not given
Coverage: Peel Area
Ending date: April 2003
The Peel Region Scheme (PRS) is a large town planning scheme that guides land use in the Peel Region. Abstract: The PRS defines the future use of land, dividing it into broad zones and reservations. It requires local government town planning schemes to provide detailed plans for their respective parts of the region.
URL link: http://www.planning.wa.gov.au/ The+planning+system/Region+schemes/default.aspx
Title: Greater Bunbury Regional Scheme
Custodian: Department of Planning and Infrastructure
Scale: 1:25,000
Coverage: Greater Bunbury Area
Ending date: Continual
The Greater Bunbury Region Scheme (GBRS) is a local planning scheme for land use in the Greater Abstract: Bunbury region. The GBRS defines the future of land use, dividing it into zones and reservations.
URL link: http://www.planning.wa.gov.au/ The+planning+system/Region+schemes/default.aspx
Title: Esperance Structure Plan and Avon Land Use Plan
Custodian: Department of Planning and Infrastructure
Scale: Various
Coverage: Various
Ending date: Continual
Abstract: Boundaries based on planning schemes of areas.
URL link: http://www.planning.wa.gov.au/ The+planning+system/Region+schemes/default.aspx
Including threats in the analysis A total of: Threats were included in the analysis in two ways: they were • 14% (131) of vegetation types were not affected by threats; used at a generic level in the establishment of conservation • 31% (283) of vegetation types were affected by one threat; targets for vegetation, or they were included in the analysis as a • 44% (391) of vegetation types were affected by two threats; “cost” layer. In both cases, the first step was to compile the three and threat layers outlined above into a single threat dataset. • 9% (84) of vegetation types were affected by three threats. Threat data was factored in the vegetation target formula, which In addition to the use of the threat layer in the conservation calculated when a vegetation type was spatially intersected target-setting for vegetation, it was also used to determine the by one, two or all three threats. Effectively, each of the 889 area (in square kilometres) of intersecting threats within each conservation features for vegetation were intersected separately of the planning units. with the threat datasets to determine if there was an overlap between the vegetation conservation feature and the threat Figure 24. provides an example of how this data was intersected. dataset. This amount was then weighted with tenure via a cost matrix value. Out of a total of 889 stratified vegetation types: This result was used as a part of the “cost” layer within Marxan. • 50% (446) of vegetation types were affected by salinity; • 17% (153) of vegetation types were affected by Phytophthora dieback; and • 80% (718) of vegetation types were affected by urbanisation. STEP 9. INTRODUCING A COST LAYER 57
Figure 24. Example threat data
Land classification Firstly, the concept of “tenure categories” was produced, which is a classification of tenure and zones into a hierarchy of five A land-use classification was also included in the cost metric different levels of conservation relevance. In order of decreasing to identify parcels of land considered more favourable favourability for conservation, these categories were: for conservation. Areas considered more favourable for • Initial reserve; conservation, such as covenanted freehold land, or those that • Preferred available; may be easier to acquire, such as unallocated crown land, were • Available; weighted more favourably than those that are possibly heavily • Not preferred available; and degraded, such as public roads or urban town centres. • Not preferred. The use of tenure or zoning as a weighted matrix in the cost Once this core concept was established, workshops were held in layer required classification of the importance of tenure or 2010 with experts in land-use planning to determine how the zoning type to achieving conservation outcomes. This process different types of tenure and zones should be categorised. One- also allowed for the preparation of a single consistent dataset. on-one engagement then occurred to further clarify and refine Here we describe how data from a range of datasets (see this decision problem. This resulted in the categorisation of the Box 23. for details) was standardised into this single land various tenure and zone types into the broader classifications classification dataset. shown in Table 12. South West Australian Ecoregion initiative 58
Table 12. Tenure categories
Tenure Attribute Tenure type Attribute details Data source category classification Any IUCN category data
Nature conservation Any non-defined IUCN category listed as: DEC-managed Land Various Initial reserves “conservation park”; “national park”; “nature and Waters reserve reserve”; or “5(1) (h) reserve/5(1) (g) reserve (lock-ins) with land use for “conservation” purposes” Conservation vested Vested areas with land use for: “conservation”; Crown reserve Landgate Cadastre reserves “open space”; or “national park” DEC covenants Encumbered freehold: DEC and National Trust WA covenant Freehold National Trust WA covenants boundaries covenants All other DEC-managed land that includes: “executive body leasehold”; “miscellaneous reserve”; “executive body freehold”; “5(1) All other DEC- DEC-managed Land Crown reserve (h) reserve/5(1) (g) reserve with land use managed land and Waters for “conservation” purposes”; or “formal leasehold (UCL – former leasehold proposed for conservation)” All other DEC-managed land that includes: Preferred “executive body leasehold”; “miscellaneous available reserve”; “executive body freehold”; “5(1) All other DEC- DEC-managed Land (h) reserve/5(1) (g) reserve with land use for managed land and Waters “conservation” purposes”; or “formal leasehold Crown lease (UCL – former leasehold proposed for conservation)” DEC-managed Land DEC, AWC and BHGA and Waters All boundaries pastoral leases AWC boundaries BH boundaries Any water reserves vested by the: Water and Any areas vested by Water reserves Rivers Commission; Waterway Commission; or Landgate Cadastre DOW Minister for Water Affairs DAFWA soil Unencumbered Includes DAFWA soil covenants and LFW covenants Freehold freehold – voluntary boundaries LFW boundaries agreements data State and All state and timber Includes leases on state and timber reserves Landgate Cadastre timber reserves reserves
All vested and non- Excludes conservation vested reserves Crown reserve Landgate Cadastre vested reserves Includes Aboriginal reserves Available Unallocated All unallocated crown Includes all other pastoral leases Landgate Cadastre crown land land Excludes all other DEC-managed land and any Crown lease All other crown leases Landgate Cadastre pastoral leases Includes all other Water reserves Excludes any vested land under DOW or WCORP Landgate Cadastre water Covers all land that Includes any holes and gaps between the cadastre All other was not included in Landgate Cadastre dataset and the SWAEI project area boundary the cadastre dataset STEP 9. INTRODUCING A COST LAYER 59
Boundaries extracted out manually (based on Airports Landgate Cadastre Google Maps data)
Not Freehold Excludes covenants or voluntary agreements preferred All other freehold land Excludes urban areas Landgate Cadastre available Includes Aboriginal freehold
Any areas vested by Any water reserves vested by the Water Water reserves Landgate Cadastre the Water Corporation Corporation or the Water Authority of WA
See 2.2.7 for details Freehold Urban areas As per specified by the threat layer Not on data preferred Public roads Public roads Includes all public roads Landgate Cadastre
It should be noted that: • Biosphere reserves were not considered in this analysis, as • Defence land was not included in the analysis due to the technically this is not a type of tenure. The one biosphere sensitivity of determining accurate boundaries; currently located in the SWAE (Fitzgerald National Park) is • No Aboriginal crown lease or freehold lease areas are found already included in the analysis as a “lock-in”; and within the SWAE (although there are areas vested in the • DEC pastoral leases are also classified as unallocated crown Aboriginal Commission); land – former leasehold proposed for conservation. • Due to the lack of easily available data, airport boundaries As a result of this analysis and categorisation, the land were extracted out manually; classification for the project area is shown in Figure 25. Figure 26. provides a close-up example.
Figure 25. Land classification across the Southwest Australia Ecoregion South West Australian Ecoregion initiative 60
Figure 26. Close-up example of land classification
Table 13. includes the size of each tenure classification.
Table 13. Amount of area for each tenure classification in the Southwest Australia Ecoregion
Tenure classification Area (km2) After the land classifications were determined, the area of each category for each planning unit was calculated. These amounts Initial reserve 66,059.45 were then weighted via a cost matrix value (CMV) and combined Preferred available 29,805.85 to produce a final CMV tenure value. This result was then used as a part of the “cost” layer within Marxan. Available 405,431.94
Not preferred available 179,681.27
Not preferred 5,897.24 STEP 9. INTRODUCING A COST LAYER 61
Box 23. Land classification datasets used in analysis
Title: Spatial Cadastral Database (SCDB) Custodian: Landgate (Department of Land Information) Scale: Survey accuracy Coverage: Western Australia Ending date: Ongoing The SCDB is an integrated database comprising a number of layers of digital spatial data, defining all crown Abstract: and freehold land parcels within Western Australia. URL link: http://www.landgate.wa.gov.au/corporate.nsf/web/Spatial+Cadastral+Database Title: Land and Managed Waters Custodian: Department of Environment and Conservation (DEC) Scale: Not given (although based on cadastre data) Coverage: Western Australia Ending date: June 2003 DEC-managed Lands and Waters within Western Australia. This responsibility is vested under the DEC Act Abstract: and Wildlife Conservation Act. URL link: http://www.dec.wa.gov.au Title: Conservation Covenants Custodian: Department of Environment and Conservation Scale: Not given (polygon data based on cadastre dataset) Coverage: Western Australia Ending date: August 2008 The nature conservation covenant is a voluntary, legally binding document that has provisions restricting Abstract: activities that might threaten the land’s conservation values. URL link: http://www.dec.wa.gov.au/content/view/120/453/ Title: Conservation Covenants Custodian: National Trust Western Australia Scale: Not given (point data based on cadastre dataset) Coverage: Western Australia Ending date: Not given Nature conservation covenants are voluntary agreements used to protect natural values on private property Abstract: by restricting potentially damaging activities. Nature conservation covenants provide legal protection in perpetuity. URL link: http://www.ntwa.com.au/ Title: Soil Covenants
Custodian: Department of Agriculture and Food, Western Australia
Scale: Not given (point data based on cadastre dataset) Coverage: Western Australia Ending date: Not given Boundaries that determine covenants that typically limit clearing and grazing of the native vegetation but Abstract: may allow uses such as removal of selected timber and seed collection. URL link: http://www.agric.wa.gov.au/PC_93234.html South West Australian Ecoregion initiative 62
Title: Land for Wildlife Custodian: Department of Environment and Conservation Scale: Not given (although based on cadastre data) Coverage: Western Australia Ending date: November 2008 Land for Wildlife is a voluntary scheme that aims to encourage and assist private landholders in Western Abstract: Australia to provide habitats for wildlife on their property, even though the property may be managed primarily for other purposes. URL link: http://www.dec.wa.gov.au/content/view/118/451/ Title: Australian Wildlife Conservancy Sanctuaries (AWC) Custodian: Australian Wildlife Conservancy Scale: Not given (although based on WA CADLITE) Coverage: Western Australia Ending date: April 2009 The AWC estate incorporates 21 sanctuaries around Australia covering more than 2.5 million hectares. Abstract: Funded by donations, the AWC acquires land; implements conservation plans; and conducts scientific research and education programs. URL link: http://www.australianwildlife.org/AWC-Sanctuaries.aspx Title: Bush Heritage and Greening Australia Boundaries Custodian: Gondwana Link Scale: Not given (although based on cadastre data) Coverage: South-western Western Australia Ending date: May 2009 Gondwana Link aims to reconnect the larger fragments all the way from the wet forests of the south to the Abstract: semi-arid woodlands near Kalgoorlie, which will restore a great arc of bushland and protected areas that will once again enable the free movement of species. URL link: http://tinyurl.com/689xn57 STEP 9. INTRODUCING A COST LAYER 63
Table 14. Cost matrix used to create cost layer in analysis
+ Two + Three Threats No threats One threat threats threats +++ Example + Salinity ++ Dieback Urbanisation
Tenure VALUES 0 0.3 0.6 0.9
Initial Conservation reserve 0 1.5 0 0 0 reserves
Encumbered freehold Available 0 0 0.3 0.6 0.9 (covenant)
Preferred State forest, water 0.2 0.2 0.5 0.8 1.1 available reserve
Not preferred Unencumbered 0.5 0.5 0.8 1.1 1.4 available freehold land
Not preferred Roads 1.5 1.5 1.5 1.5 1.5
Assigning costs Table 15. Cost values from the cost matrix Marxan uses a “cost” value as a penalty weighting applied to Type Weighting planning units that are selected within each run. The larger the cost amount for each individual solution (sum of the costs for Initial reserves all the planning units within a specific solution), the higher the With no threats 0.0 penalty associated with that solution and the more likely that Marxan will select other planning units to find a better solution With one threat 0.0 in subsequent runs. The “cost” value is found within the pu.dat With two threats 0.0 file in Marxan. With three threats 0.0 In this systematic conservation planning project, we used a Preferred available combination of three threats (salinity, Phytophthora dieback With no threats 0.0 and urbanisation), with tenure classification as the cost layer. A weighting matrix was created to enable the combination of these With one threat 0.3 two very different approaches in assigning a cost layer. This With two threats 0.6 matrix is illustrated in Table 14. With three threats 0.9
© m Available i c hael roa With no threats 0.2 With one threat 0.5
c he With two threats 0.8 With three threats 1.1 Not preferred available With no threats 0.5 With one threat 0.8 With two threats 1.1 With three threats 1.4 Not preferred With no threats 1.5 With one threat 1.5 Banksia menziesii (Chittering) With two threats 1.5 With three threats 1.5 South West Australian Ecoregion initiative 64
Addressing multiple threats and land the cost for each of the planning units. For example, if a planning classifications in planning units unit has been classified as “available” and also includes two types of “threat”, then the cost weighting applied to that planning unit It is unlikely that a single value for threat or land classification would be 0.8. The cost values need to be above 1 to give Marxan category will cover a complete planning unit. It is more likely a positive gearing, so all cost values were adjusted accordingly. that a planning unit may include more than one type of tenure, A working example of this is provided in Figure 27 and Box 24 or a variety of different threats. To take this into account, areas shows the results of this analysis. of each of the threats and tenure categories were used to scale
Box 24. Example of applying the cost matrix value to a planning unit
Planning unit ID: Planning unit X Planning unit area: Total area 2.56 km2 Threats in planning unit X: Two types of intersecting threat (excluding 0 threats) Tenure in planning unit X: Four types of tenure
Step 1: Work out the threats weighting for planning unit X
1. Work out the proportion of intersecting threat per planning unit X (in km2)
0 intersecting threats 30% 0.77 km2
1 intersecting threat 60% 1.53 km2
2 intersecting threats 10% 0.26 km2
3 intersecting threats 0% 0.00 km2
2. Multiply the proportion of threat by the cost matrix weighting (CMW) values (see Table 14.)
0 intersecting threats = 0.77 x 0.0 = 0.000
1 intersecting threat = 1.53 x 0.3 = 0.456
2 intersecting threats = 0.26 x 0.6 = 0.156
3 intersecting threats = 0.00 x 0.9 = 0.000
3. Add CMW threat values together
4. The total CMW threat value in planning unit X is 0.612.
Step 2: Work out the tenure weighting for planning unit X
5. Work out the proportion of tenure for planning unit X (in km2)
Initial reserves 0% 0.00 km2
Preferred available 20% 0.51 km2
Available 60% 1.53 km2
Not preferred available 15% 0.38 km2
Not preferred 5% 0.12 km2
6. Multiply the proportion of tenure by the CMW values (see Table 14.)
Initial reserves = 0.00 x 0.0 = 0.000
Preferred available = 0.51 x 0.0 = 0.000
Available = 1.53 x 0.2 = 0.306
Not preferred available = 0.38 x 0.5 = 0.190
Not preferred = 0.12 x 1.5 = 0.180
7. Add CMW tenure values together
8. The total CMW tenure value in planning unit X is 0.676 STEP 9. INTRODUCING A COST LAYER 65
Box 24. Example of applying the cost matrix value to a planning unit (cont)
Step 3: Work out the cost value for planning unit X
9. Add together the CMV threats value and the CMV tenure value to find the cost value
CMV threats value + CMV tenure value = cost value
CMV threats value 0.621
CMV tenure value 0.676
Cost value 1.297
10. The total cost value in planning unit X is 1.297
Figure 27. Example of cost values applied to planning units South West Australian Ecoregion initiative 66
Data gaps and limitations in the analysis Palaeochannels A pervasive limitation of conservation planning is access to Palaeochannels are old river systems that are filled with appropriate data. While this project used the best data available, sedimentary soils that differ from the current riverbed systems. there are and always will be gaps in the comprehensiveness Currently, there is no dataset that indicates these areas over the and consistency of data across the ecoregion. The absence of whole of the project area. Although palaeochannel data can be data should not preclude this type of analysis, although users derived from the DEC Wetlands of the Wheatbelt dataset, this should be conscious of the related constraints on conservation data was already used to indicate water bodies within the project planning. Where planning units have not been selected, we are area. Palaeochannels were therefore excluded from the analysis not suggesting that there are no biodiversity values in those to avoid replication of multiple conservation features. areas. The data gaps and other limitations are outlined below. Groundwater dependent ecosystems Conservation features Groundwater dependant ecosystems are a modelled concept The conservation features selected are a representation of involving groundwater contours and specific ecosystems (such biodiversity, not a complete inventory of all biodiversity as vegetation or water bodies) that rely on them. They were assets and processes across the ecoregion. Hence, they do not excluded from the analysis due to the lack of comprehensive represent all important aspects of biodiversity that might need datasets currently available within the project area. to be managed in any particular area. Targets A number of conservation features were suggested and The targets set for conservation features were determined at considered of interest during the analysis, however, it was not the scale of the region and, consequently, do not reflect local possible to include them due to time and budgetary constraints priorities. For example, some of the insectivorous woodland if no electronic spatial data was available. bird species that are fast disappearing in some of the landscapes across the SWAE, such as in the Perth metropolitan region, Flora species remain relatively common elsewhere. The ecoregion-scale With more than 2,000 flora species on the endangered and targets were therefore lower in percentage terms than might threatened lists, it was agreed that this volume would not allow be needed in the smaller region around Perth. In a local-scale the objective of being able to prioritise areas. At the ecoregion planning process, these targets would be re-evaluated to make scale, there are simply too many to provide a good solution for them more relevant to particular parts of the ecoregion. the analysis. This number was subsequently reduced, based on expert advice, to identify those species that are representative Although Marxan aims to meet all the targets set for the both in form, morphology, representation of other species or conservation features, sometimes this is not possible because of: sub-species and coverage across the ecoregion. • The distribution of data; • The size of data; and First order streams and sub-catchments • Using high targets against a compact BLM. First order streams are where the source of the river first flows In this analysis, targets for a small proportion (6%) of and the sub-catchment is the land in which this water drains. conservation features were not fully achieved. Nonetheless, Experts suggested the inclusion of first order stream sub- targets for 1,307 of the 1,391 (94%) conservation features catchments as a surrogate for protecting and maintaining the were met through this process. This is well within the bounds health of rivers and waterways, however, there is no dataset that of acceptable outputs and is discussed further in the results shows their location. The Department of Water has a dataset section. that shows over 2,786 sub-catchments in the project area as well as a rivers dataset that contains no order ranking. First order stream sub-catchments were therefore not used in the analysis, Threats because creation of the required dataset from the existing data The systematic conservation planning process cannot define was beyond the resources and timeframe available. every source of threat to every identified conservation feature. More in-depth information on threats should be collected and Naturally saline water bodies analysed when working on specific conservation projects. The planning process used in this project should be considered as Naturally saline water bodies contain a variety of unique and an initial evaluation of the threats to biodiversity and not the rare flora and fauna. Currently, there is no dataset that shows the ultimate one. extent of these areas over the whole of the project area. Naturally saline water bodies were therefore excluded from the analysis. Some data provided for local planning schemes could not be used because of problems with: 1. Data format; 2. Data availability; and 3. Data attribute standards. STEP 9. INTRODUCING A COST LAYER 67
Climate change Limitations with Marxan Methods for incorporating climate change into the project have According to Ardron, et al. (2010), the main limitations of not been included, although there are approaches to doing Marxan can be divided into analytical and operational issues. this. Most of these approaches are based on modelling the There are three main analytical limitations. The first is an prediction of shifts in species ranges and were considered too inability to easily integrate stochastic data, as the data used is a general for this project. Overcoming differences among model snapshot in time or a collection of various snapshots. Secondly, predictions and discrepancies between predicted fundamental planning units are either in or out of the reserve solution and, and actual realised niches usually requires detailed data on thirdly, while different costs can be included in the cost layer, species migration rates, inter-species interactions and rates of they must be combined outside of Marxan and included as a adaptation (Iwamura et al., 2010). The value of conservation single cost surface. prioritisation based on future species ranges remains limited by our ability to compile and analyse this data for thousands Ardron et al. (2010) also points out several operational of species over large spatial scales. Furthermore, there are no limitations. Firstly, the quality of data will influence the quality immediate or practical actions that can be taken to guarantee the of solutions. Secondly, the terminology can be confusing. Thirdly, security of biodiversity in the SWAE from the impacts of climate the outputs can be misinterpreted and the outputs misused. change, and the impacts of climate change remain uncertain. Fourthly, it is important to remember that Marxan is a decision While there are challenges inherent in including climate change support tool, not a decision-making tool and, while undertaking in the analysis, we have addressed this to a certain extent by a systematic conservation planning process or Marxan analysis including a range of environmental gradients, a representation can aid stakeholder engagement and discussion, it is not a of processes and environmental surrogates in the analysis. panacea for participation or acceptance of the planning process. Fifthly, undertaking this process does not address pre-existing stakeholder or political conflicts. Finally, preparing datasets and input files, as well as learning its proper use takes more time than usually anticipated. © helena m © helena ills / wwf / wwf ills
Lambertia inermis (Chittick) South West Australian Ecoregion initiative 68
STEP 10. RUNNING SCENARIOS
This section details how the Marxan analyses were Boundary Length Modifier (BLM) run within Zonae Cogito and includes the: Calibrating the BLM allows the user to place greater or lesser emphasis on the compactness of the reserve system when • Input parameters that were applied to the compared to its cost. This can result in either a single large analysis; or several small prioritised areas. Marxan does not directly • Four different scenarios; and incorporate connectivity, however, by adjusting the BLM, the user can create some forms connectivity by aggregating or increasing • Calibration for each of these scenarios for both the the compactness of the reserve solutions (Ardron, et al., 2010). Boundary Length Modifier (BLM) and the Species Increasing the BLM parameter places more emphasis on the Penalty Factor (SPF) to fine-tune the solution. selection of areas that are grouped into compact potential reserves. This means that the solutions provided in any of the different scenarios containing one connected patch of units will have a lower Input parameters boundary cost than a number of scattered, unconnected units. The outputs produced by Marxan can be considered either Increasing the BLM increases the cost of having a fragmented “feasible” solutions, where all conservation targets have been portfolio and reduces fragmentation. Three different BLMs were met, or “non-feasible” solutions, where the conservation targets explored – .625, 100 and 1,000 – in an attempt to minimise the have not been met (Ardron, et al., 2010). Marxan allows the boundary length to area ratio, thus increasing the connectivity user to adjust a SPF to encourage targets to be met within pre- or aggregation of the highly prioritised Zones for Conservation specified constraints. Action identified in this project. Another consideration is in regard to “reserve design”, or how the compactness of prioritised areas are selected. Modern ecological Species Penalty Factor (SPF) science reliably informs us that the retention of large contiguous The SPF is a user-defined multiplier for the penalty applied to the or connected areas that sustain natural ecological processes is objective function when a conservation feature target is not met in important and small areas of habitat may support fewer species the current reserve scenario. This is an important parameter, as and have less persistence of species than large areas of the same adjusting the SPF will influence the achievement of good results. habitat. The Single Large or Several Small (SLOSS) theory is If the weighting of the SPF is too high, then Marxan becomes where reserve designs can either include a single large area, or too restricted; if it is too low, then targets set for conservation a number of small areas to achieve biodiversity conservation, features may not be achieved in all of the runs. If the SPF values depending on the spatial distribution and home range of the are very small (relative to the BLM) then the “lowest cost” solution biota (Etienne and Heesterbeek, 2000; Ovaskainen and Hanski, could miss achieving several targets, because the cost of selecting 2001, 2002). To provide greater flexibility with reserve design, additional planning units is greater than the small penalties for Marxan allows the user to adjust another parameter called the missing protection targets. If the SPF values are set very high, this Boundary Length Modifier (BLM). will constrain the simulated annealing algorithm in exploring as many options as possible within the solution process, and may Understanding how Marxan responds to a range of these result in Marxan producing fewer different solutions with higher parameters (e.g.,the BLM, the cost layer and SPF) takes time average costs (Ardron et al. 2010). and experimentation. The analysis presented in this report has been built on work undertaken in the first phase of this project. Performing sensitivity analyses that tested the influence of these input parameters on Marxan outputs was an important step. This is because changes to the input parameters can substantially modify the outputs; consequently, involving expertise to assist with the interpretation of the results has also been an important element.
A standard range of input settings were used in this project for all four scenarios. Table 16. lists the parameters that were used for input.dat file, which controls these parameters in the Marxan analysis. STEP 10. RUNNING SCENARIOS 69
Table 16. Marxan input data parameters
Parameter Value Repeat runs 100
BLM 1.875
Input file type New freeform style
Run options Simulated annealing with normal iterative improvement
Number of iterations 10,000,000
Temperature decreases 10,000
Adaptive annealing Yes
Cost threshold No
Starting prop 0.5
Scenarios In phase 1, eight scenarios were identified and analyses run for each, producing a total of 16 maps (the highest selection frequency combined with lock-ins is considered the best solution). This was an important process to undertake as each scenario can produce varied results, some of which deliver a more realistic output than others. In the second phase, only four scenarios were chosen to represent the final form of the decision problem. All scenarios used the same conservation features and targets but had different constraints included (Table 17.)
Table 17. Four scenarios and parameters
Scenario Description • All conservation features; and Scenario 1 – No constraints • Standard conservation targets
• All conservation features; Scenario 2 – Lock-ins included • Standard conservation targets; and • Lock-in areas included
• All conservation features; Scenario 3 – Cost layer included • Standard conservation targets; and • Cost values included (including threats)
• All conservation features; Scenario 4 – Lock-ins and • Standard conservation targets; cost layer included • Cost values included (including threats); and • Lock-in areas included South West Australian Ecoregion initiative 70
Calibration Calibrating the SPF Adjustments were made to both the BLM and SPF in all four SPF values of 1, 10, 100 and 1,000 were trialled and plotted against scenarios. An initialising calibration was required by running the conservation features that did not fully achieve the targets two small analyses to determine the values to be set for both set (Table 19. and also shown graphically in Figure 29.). An SPF parameters. value of 100 was the most efficient parameter that captured the least number of un-met targets for the conservation features. As Calibrating the BLM SPF values higher than 100 did not contribute significantly to the analysis, the value of 100 was used in all four scenarios. It Ten calibration test runs were performed (Table 18.) to determine should be noted that after multiple adjustments of the SPF in a BLM value that produced a solution that selected the least this analysis, the targets for 6% of conservation features were number of planning units (or lowest cost) while still achieving not fully achieved. This is further discussed in the results. the targets set for the conservation features (as demonstrated in Figure 28.). A BLM value of 1.875, identified for Scenario 4, was subsequently used for all four scenarios.
Table 18. Marxan BLM calibration results for Scenario 4
Planning Boundary Missing Test no. BLM Cost Score Penalty Shortfall units length values 1 0 142089.8 142517.6 112458.46 242896.553 427.7826 109915.1 167.38
2 0.625 147903.8 255286.2 116385.97 171661.538 93.96624 100963.6 142.72
3 1.25 155425.7 339390.2 121610.27 147121.092 63.20779 90889.29 132.06
4 1.875 161628.7 421321.2 125930.16 138471.914 57.72434 82604.79 129.21
5 2.5 164989.7 501318.3 128282.93 134507.596 59.63462 78312.81 127.93
6 3.125 167555.9 582049.6 130087.85 132618.76 60.16786 75083.64 126.99
7 3.75 169238.6 657615.8 131262.58 130217.479 61.62725 72890.61 126.12
8 4.375 170589.7 732560.7 132225.95 128435.322 66.43445 71209.32 124.98
9 5 171826.1 813323.6 133104.08 128286.278 66.11798 69742.54 124.82
Figure 28. Calibration values between cost values and BLM STEP 10. RUNNING SCENARIOS 71
Preparing the outputs Best solution Once the analyses were run, a range of outputs had to be Marxan produced two standard outputs. The first was the best prepared for final use, most commonly in map products for: solution file, which identifies, out of the specified number of “runs” for each scenario (in this project, each scenario was run • Summed threats; 100 times), which produced the solution with the lowest cost • The best solution; according to Marxan’s objective function. The best solution • Selection frequency; and output is selected based on the run that has captured as many of • A priority index. the conservation features as possible at the target levels sought These map products were generated from the datasets outlined with the least number of planning units, or lowest possible cost. above. For each output, the underlying datasets were clipped to the best solution for Scenario 4. Using the best solution results in a defined boundary which, in turn, gives a clear indication of how many targets were achieved In addition, a range of other outputs, including datasets, tables for conservation features within the specified area. and other figures, were produced during the course of this project. Some general guidance on these outputs is also provided. Game and Grantham (2008) recommend exercising caution, as the lowest-cost solution does not, in reality, make the best Summed threats spatially optimum system that meets all the targets and does not necessarily make the best reserve system. Similarly, the best The summed threats output was created by taking the solution may be only marginally better than the other solutions. amalgamated threat layer that was created from Phytophthora Thus, “best” is very narrowly defined and may not be the ideal dieback, salinity and urbanisation datasets, and then “clipping” solution. Rather, it should be seen as indicative of a very good it to the best solution output for the chosen scenario (Scenario 4). solution, within a continuum of options. A best solution is only considered the best based on the specific set of runs conducted and is not the best possible solution Marxan will ever produce. Figure 30. provides a way of demonstrating this, with the best solution from five run solutions. Selected planning units are shown in green and lock-ins in grey.
Table 19. SPF calibrations for all scenarios and un-met targets for conservation features
Number of conservation features with un-met targets for: Scenario SPF 1 SPF 10 SPF 100 SPF 1,000 Scenario 1 311 208 168 159
Scenario 2 318 228 187 188
Scenario 3 76 73 75 71
Scenario 4 107 90 84 85
Figure 29. Calibration values for un-met targets for conservation features and the SPF value South West Australian Ecoregion initiative 72
Figure 30. An example of the best solution workings
Selection frequency not necessarily transferable to another scenario. Planning units The second map output produced by Marxan summarises how are selected less often when there is a range of equally good frequently each planning unit has been selected across all the alternatives and hence more units are considered replaceable. good solutions generated. The selection frequency for a planning It is important to note, however, that even the infrequently unit is a measure of how important that planning unit is to the selected areas are important to achieving the conservation achievement of the planning objectives for the specific form of targets and even some of the units of low selection frequency the decision problem represented by the specific scenario. Unlike must be included in any plan of conservation action or the the best solution map outputs, the selection frequency output conservation targets will not be met. Planning units that become does not produce a definite boundary for achieving conservation irreplaceable appear in every solution and must be included to outcomes (as shown in Figure 31.). achieve the planning objectives. The selection frequency value of a planning unit has no Zonae Cogito will allow for the different planning units and their intrinsic value outside the specific arrangement of the decision selection frequency value to be exported from the system as a parameters represented in each scenario. Rather, it shows the spatial dataset, which can then be used for further analysis and relative irreplaceability of specific planning units in achieving interrogation. In this project, the selection frequency dataset the conservation targets and the relative importance that can was clipped to the best solution output for the chosen scenario be attached to conservation action in such areas. The selection (Scenario 4). frequency value of a planning unit in one scenario is therefore STEP 10. RUNNING SCENARIOS 73
Figure 31. Difference between the best solution and selection frequency outputs
Priority index map The selection frequency data was extracted from Scenario 4 and standardised using a range between 0-1. The planning unit An additional example has been included to demonstrate cost data for the three combined costs for salinity, urbanisation a further form of prioritisation within the ZCAs. This map and Phytophthora dieback were extracted from the summed identifies those areas already selected as ZCAs from Scenario threats matrix, and, similarly, the range standardised 0-1 for 4 that were: each planning unit. These two datasets were then summed for • Most frequently selected; and each planning unit to create a priority index. This was clipped • Most vulnerable to urbanisation, Phytophthora dieback and to the best solution from Scenario 4, and the priority index salinity, to produce a gradient of priorities. data mapped in 10% bins. This map provides a summary of the The priority index map allows fine-tuning of the prioritisation priority areas for conservation action, representing both the process by identifying those areas needing the most urgent importance of conservation features and the extent of threats action to meet conservation targets. affecting them to establish prioritised areas where conservation action would be both most urgent and likely to be most effective. South West Australian Ecoregion initiative 74
Results
As previously described, four different scenarios were Scenario 4 explored in this analysis. Each scenario produced two Scenario 4 represents the combination of all parameters tested types of outputs, being the selection frequency and best in scenarios 1–3. Scenario 4 is considered the most realistic solution. As the first three scenarios (Table 19) were analysis as it recognises parcels of land that already have existing protection and management. These areas are accounted not considered the final outputs, they are provided in for in the analysis and are locked-in to the solution. Appendix 1 for context, however, the results focus on This analysis includes the cost layer, which combines the the outputs for Scenario 4. three threats used in the analysis (urbanisation, Phytophthora dieback and salinity) as well as a weighting based on different Scenario 4 is the primary scenario that is being used for the land classifications. This process is used to favour the selection final project outputs, being the scenario that considers both of planning units in certain areas over others where there is a lock-ins and the cost layer. As such, the following maps, with greater risk of management issues and land-use conflict. accompanying descriptions, are provided: • A summed threats map; Summed threats in the ZCAs • A best solution map; This map demonstrates the summed threats in the ZCAs. It • A selection frequency map; and shows that the ZCAs within the western part of the ecoregion • A priority index map. are not impacted by the three threats (salinity, urbanisation The following additional analysis for Scenario 4 was also and Phytophthora dieback) used in this analysis. However, completed using a range of relatively simple methods, such as large parts of the ecoregion are impacted by at least one of these spatial intersections and queries. This included: threats. The Avon Wheatbelt, Jarrah Forest, Swan Coastal Plain, • An analysis of the conservation features that did not meet and parts of the Mallee and Yalgoo bioregions are impacted by the set targets; all three of the combined threats (Figure 32). Eighty-three of • Identification of areas of the best solution that were present the conservation features are contiguous, with all three of the within each IBRA bioregion; threats in various places across the SWAE, although, 1,006 • Summary statistics for each category of conservation features do not intersect with any of these threats. The features features; and occurring in areas subject to all three threats include 27 taxa • A local example of the use of the analysis, based within the of birds and bird-related features, 17 vegetation types and floral Perth Region NRM area. species, eight mammals, various reptiles and invertebrates, and In addition, a CD was prepared for this project, which contains various classes of water bodies. several datasets that may be re-used under licence from the SWAEI. Most of the source data for this project was licensed in such a way that it cannot be redistributed, however, details of how the data could be sourced again from custodians is provided in Appendix 3.
Table 20. Parameters of Scenario 4
Scenario Description • All conservation features; Scenario 4 – Lock-ins and cost layer • Standard conservation targets; included • Cost values included (including threats); and • Lock-in areas included Results 75
Figure 32. Threats to biodiversity across the SWAE
Best solution map The best solution map illustrates: This map (Figure 33.) illustrates the ZCA, which are widely • Locked-in areas reserved within the conservation estate distributed across the SWAE landscape and span 324,582 km2 that meet the IUCN criteria (classified as (I) strict nature (47%) of the SWAE region. They cover a range of less than 20% reserves, (Ia) wilderness areas, (II) national parks, (III) to above 80% of their respective bioregions (Table 21.). This natural monuments or features and (IV) habitat species spatial distribution reflects the variety of conservation features management areas) (IUCN, 2011). This also included crown included in the analysis. The ZCAs are spatially compact and reserves classified for the purpose of conservation parks, take into consideration three threatening processes (salinity, national parks, nature reserves, or reserves with land use Phytophthora dieback and urbanisation) as well land suitability. or purpose-specified for conservation. These areas are This map is important because it shows the areas that most illustrated in dark green; closely achieve targets for all conservation features. • The ZCAs in sage green; • Areas selected in the buffer zone, illustrated in grey. The buffer zone provides context for the analysis and is not considered a priority for the systematic conservation plan; and • IBRA boundaries (black lines). South West Australian Ecoregion initiative 76
Figure 33. Best solution map
Table 21. compares the amount of area the ZCAs represent across each IBRA bioregion.
Table 21. Area represented across IBRA bioregions (Scenario 4)
Area selected in best Best solution coverage IBRA region Total area (km2) solution (km2) per region (%) Avon Wheatbelt 95,164 53,192 55.9 Carnarvon 17,941 4,036 22.5 Coolgardie 129,170 63,274 49.0 Esperance Plains 29,133 21,833 74.9 Geraldton Sandplains 31,453 20,770 66.0 Great Victoria Desert 16,747 3,309 19. 8 Hampton 10,413 2,509 24.1 Jarrah Forest 45,085 31,654 70.2 Mallee 73,955 50,838 68.7 Murchison 100,860 25,991 25.8 Nullarbor 62,990 12,500 19.8 Swan Coastal Plain 15,307 11,536 75.4 Warren 8,496 6,983 82.2 Yalgoo 50,157 16,157 32.21 results 77
Table 22. illustrates the amount of area used by each asset class included in the analysis.
Table 22. Conservation feature summary statistics
Minimum Maximum Number of conservation features Total area Mean area area in area in Asset class (taxa or surrogates) representing in SWAEI in SWAEI SWAEI SWAEI each asset class used in analysis (km2) (km2) (km2) (km2) Birds 100 194,342.50 2.6 11,654.97 1,943.42
Mammals 31 12,559.11 2.6 1,701.74 405.13
Reptiles 35 2,982.59 2.6 558.59 85.23
Amphibians 7 1,088.61 15.59 457.26 155.51
Inland water 49 5,463.78 2.6 1,990.13 111.50 species
Invertebrates 43 1,530.28 2.6 615.74 35.59
Inland water 82 101,044.50 0.042 10,327.35 1,232.25 bodies
Flora 137 3,735.98 2.6 296.10 27.27
Other 45 3,068,272.00 0.139 761,579.00 68,183.83
Vegetation 862 671,266.40 0.001 177,354.00 778.73
Total 1,391
Selection frequency map Priority index map This map (see Figure 34.) illustrates that within the ZCA there The priority index map (see Figure 35.) shows areas where a are some planning units that are selected more frequently during form of further prioritisation indexing has been applied to the the 100 runs for the specified scenario. It demonstrates the ZCAs (from best solution) by identifying those areas that were: relative irreplaceability of specific planning units in achieving 1. Most frequently selected; and the conservation targets and the relative importance that can be 2. Most vulnerable to urbanisation, Phytophthora dieback and attached to conservation action in such areas. While all planning salinity. units of the best solution are needed to achieve the conservation This produces a gradient of priorities within the ZCAs. The targets, the most frequently selected places are those where priority index map allows fine-tuning of the prioritisation (a) there are few alternative areas elsewhere in which these process by identifying those areas needing the most urgent conservation features may be secured at the same cost, and action to meet conservation targets. (b) there is a greater opportunity to achieve higher rates of return on investment into conservation action (because of the The priority index map shows: close proximity of features that may be sensitive to on-ground • A priority index applied to the ZCAs, demonstrating intervention). Planning units are selected less often where there gradations that identify importance and urgency; is a range of equally good alternatives and hence more units are • Areas, illustrated in yellow, which are selected less considered replaceable. frequently and are less threatened; • Areas, shaded red, which are selected more frequently and The selection frequency map illustrates: are more threatened; and • The range of areas that have been selected 100% of each of • The buffer zone, illustrated in grey. the 100 runs (maroon) to those areas that have been selected 1% of each of the 100 runs (pink); • Areas selected in the buffer zone, shown in grey. The buffer zone provides context for the analysis and is not considered a priority for the systematic conservation plan; and • IBRA boundaries (black lines). South West Australian Ecoregion initiative 78
Figure 34. The range of selection frequencies for 100 runs map
Figure 35. The priority index map Results 79
Table 23. Conservation targets not met in the ZCAs Histogram 1. Conservation features with un-met targets in the ZCAs SWAEI target achieved No. of conservation for Scenario 4 (%) features 15 0 4 10 Frequency 1 to 10 6 5 features
Number of 0 11 to 20 6 conservative 0 20 40 60 80 21 to 30 9 99.99 % Target Achievement 31 to 40 7
41 to 50 6
51 to 60 6
61 to 70 9
71 to 80 11
81 to 90 13
91 to 99.99 7
Total 84
Conservation features with un-met targets scale (Histogram 1.). There is no systematic representation of Eighty-four conservation features (6%) included in the analysis the vegetation types in these unmet features. However, all the did not meet their conservation targets (see Table 23.). These conservation features were endemic to the ecoregion and have conservation features included a composite data layer for a very small extent. The vegetation types are highly fragmented Threatened Ecological Communities (TECs and/or others) and and spatially disbursed, (particularly in the Avon Wheatbelt 82 of the vegetation types. All of the conservation features with bioregion), which predisposes them to be being more difficult to un-met targets were trying to achieve 100% of their existing include in a large priority setting problem with high costs, such occurrences or extent in the analysis. However, the vegetation as the SWAE. The best solution could have been forced to meet types still achieved 87% and TECs and/or others achieved 61% all the targets, but this would have resulted in a 20% increase in of their targets. the ZCA area (65,000 km2).
The conservation features that did not achieve their targets Nonetheless, targets for 1,307 of the 1,391 (94%) conservation do not appear to be related to any specific characteristic, with features were met through this process, which is well within the a broad spread of data points across the under-achievement bounds of acceptable outputs. South West Australian Ecoregion initiative 80
Example of how to use analysis • Allowing organisations to identify environmental values that are important and aligning these to local priorities and Many organisations are delivering on-ground biodiversity management efforts; conservation management within the SWAE. The strength of the • Providing a catalyst for organisations to build partnerships SWAEI partnerships has demonstrated that these organisations with other like-minded organisations and developing are keen to contribute to the implementation of this framework. projects that make a greater collective contribution to This framework aims to provide a program and project biodiversity conservation; and planning structure that allows these organisations to combine • Assisting organisations and partnerships to justify the geographically specific conservation objectives and actions with ecoregion-wide importance of geographically specific ecoregional goals and targets as new projects are developed and conservation work. implemented within the ZCAs. The success of implementing the Using Scenario 4, we demonstrate a way to query the results systematic conservation planning outcomes will be determined to inform biodiversity conservation decisions. In this example, by the focus, quality, effectiveness and cumulative effort of the on- a ZCA has been identified covering the Perth Region NRM ground biodiversity conservation activities within the ecoregion. boundary (see Figure 36.). Using this ZCA, a subset area Using a program and project planning structure consistent with has been selected for further interrogation, referred to as an this framework will benefit both the SWAE and organisations Area for Conservation Action (ACA). Basic statistics about undertaking biodiversity conservation management by: the conservation features that appear in the ACA and their contribution to meeting regional-scale targets are provided in • Ensuring the efforts of individual organisations to improve Table 24. For a methodology that describes how to apply the biodiversity conservation collaboratively contribute to the results for program and project planning, refer to A Strategic recognised biodiversity values of the ecoregion; Framework for Biodiversity Conservation Report A: For • Building on the expert opinion built into the systematic decision-makers and practitioners. conservation planning approach to assist and underpin prioritisation processes and decision-making; • Identifying areas in which organisations can work that will provide the best biodiversity conservation return on investment;
Figure 36. Local example area
Results 81
Table 24. Conservation features found within the ACA and their contribution to meeting regional-scale targets
Known populations Known populations The % found in the Conservation feature name or hectares found or hectares found ACA, compared to in ACA across the SWAE SWAE Shrublands teatree A jarrah forest 5.93 18.71 31.7 Medium forest H jarrah forest 55.14 406.97 13.5 Crested shrike-tit 5 117 4.3 Medium woodland A jarrah forest 105.54 3,132.39 3.4 Rufous treecreeper 13 861 1.5 Hooded robin 5 333 1.5 Yellow-plumed honeyeater 13 994 1.3 Western yellow robin 10 936 1.1 White-naped honeyeater 13 1,200 1.1 Western spotted froglet 2 176 1.1 Scarlet robin 16 1,634 1 Restless flycatcher 5 526 1 Connectivity jarrah forest 1,417.5 150,534 0.9 Dusky woodswallow 10 1,139 0.9 Candlestick banksia 1 114 0.9 Water-rat (rakali) 1 111 0.9 Western thornbill 10 1,245 0.8 Channels major rivers Non-listed jarrah 23 2,925 0.8 Carnaby’s black-cockatoo (other) Wheatbelt/rest of SWAE 6 893 0.7 Includes springs, waterholes and water points 1 152 0.7 Spotted pardalote 7 1,266 0.6 Numbat 2 342 0.6 Masked woodswallow 1 154 0.6 Splendid fairy-wren 18 3,416 0.5 Little eagle 3 609 0.5 Medium forest A jarrah forest 68.77 16,644.6 0.4 Striated pardalote 17 4,486 0.4 Common bronzewing 10 2,651 0.4 Tawny-crowned honeyeater 4 991 0.4 Red-capped parrot 8 2,271 0.4 Western spinebill 7 1,825 0.4 Tree martin 15 3,748 0.4 Western rosella (south) 7 1,631 0.4 Grey shrike-thrush 13 4,043 0.3 Western quoll (chuditch) 2 636 0.3 Channels minor rivers Non-listed jarrah 10 3,050 0.3 Rufous whistler 11 3,319 0.3 White-necked heron 1 323 0.3 Western little wattlebird 2 1,113 0.2 Red-winged fairy-wren 2 1,047 0.2 Grey currawong 3 1,856 0.2 Emu 2 1,155 0.2 Baudin’s black-cockatoo (long-billed black cockatoo) 1 576 0.2 Pacific black duck 2 2,065 0.1 White-browed babbler (western wheatbelt) 1 1,994 0.1 Purple-crowned lorikeet 2 1,522 0.1 South West Australian Ecoregion initiative 82
Discussion
Marxan is a software tool that can guide conservation planners by each make a contribution to the persistence and representation helping to identify areas with conservation potential at realistic of biodiversity across the ecoregion and need to be considered cost. The Marxan algorithm enables complex calculations that in this context. The exception to this is where there are unique incorporate multiple factors relevant to conservation planning conservation features that are entirely contained within a ZCA. and their relationships. The outputs offer a valuable information The identified ZCAs are representative; however, they will not basis for conservation planners. However, when using the necessarily protect all biodiversity values in the SWAE due to data outputs and in order to achieve the greatest benefit from them, and knowledge gaps. Nor have all decision variables been captured the following points should be considered. within the scope of this analysis. It does not consider all threats to The outputs do not: biodiversity in the ecoregion or additional conflicts, such as land • Model the persistence of species or ecological and that should be protected for primary production. evolutionary processes; This systematic conservation planning project is a decision support • Recommend management designations or determine the tool, not a decision-making tool, and the results presented in level of protection that a site requires; this report are a snapshot, based on current data. As patterns of • Determine ecological irreplaceability. Rather, Marxan biodiversity change, either in response to changes in climate or calculates the selection frequency of a planning unit, or other threatening processes, or as new and additional data comes how frequently a site is selected within the different good to light, it will be necessary to reconsider the boundaries of the solutions that it found; prioritised areas and the likely success of implementation projects. • Deliver a single optimal solution. Marxan determines multiple “near optimal” solutions; The results of this rigorous analysis should provide a basis for • Ensure species viability or sustainability; or allocating resources for management initiatives that respond to • Tell the user how to integrate costs with different currencies. region-wide threats and that require a national, state and local While Marxan can include costs with different currencies, all response. The results should inform a coordinated response by of these costs must be integrated into a single cost surface layer those organisations involved with on-ground implementation before Marxan is used. The integration of this information is activities, and help guide policy and decision-making processes, not straightforward and requires much thought and sometimes including land-use planning and funding objectives. Stakeholder sophisticated socio-economic methods. capacity should be strengthened by increasing the autonomy of decision-making and program implementation. A number of parameters are used by the Marxan algorithm, which is calibrated to adjust to conservation planning requirements and It is recommended that implementation strategies are developed the decision-making problem. Interdependencies exist between based on the results of this systematic conservation planning these Marxan parameters, and results should be checked project. These strategies should be managed in such a way as carefully after each modification of any of the parameters. to foster cooperation and coordination, in order to ensure a synchronised and cost-effective approach. This will require the There are, and always will be, limitations to the input data, such as: refinement of the boundaries at the local scale and the verification • Data not available at the scale of the region; of data based on local knowledge. • Data not presented in a format that allows it to be assigned to planning units; Management actions should be identified, and set at the scale of the • Data spatial or attribute inaccuracies; and ecoregion and able to be incorporated into international, regional, • Data effectively becoming “dead” once accessed and national and sectoral programs, so that all conservation efforts requiring subsequent updating. within the SWAE can be integrated.
Where to from here? Importantly, this process should provide the basis for a monitoring and evaluation system that will enable stakeholders The basic foundation of this planning process is to identify an to track the progress of contributions to biodiversity efficient representation of the biodiversity in the ecoregion (i.e. conservation in the ecoregion. Measuring the incremental the minimum amount of space and avoiding threats and land- impact from management actions by continuously building use conflict). Focusing effort in these areas will deliver the on past accomplishments should feed back into the systematic highest return on investment. conservation planning process. This will encourage efficient The analysis has been undertaken at the ecoregion scale and the solutions to be explored and provide stability and investment ZCAs should not be considered as stand-alone areas. Rather, they within the context of changing funding and policy decisions. Discussion 83
Glossary
Commonly used Marxan terminology can be found below (adapted Lock-ins are those planning units that are considered required in from Ardron et al., 2010). the solution. Marxan will aim to identify how it can achieve target solutions within the locked-in planning units before searching for Biosphere Reserves are an area of conservation nominated other planning units to include in the solution. by the United Nations Educational, Scientific and Cultural Organisation (UNESCO). Planning Units are an overlay that divides the planning region into square grids or hexagons. They must cover all the area from Best Solution is the solution with the lowest objective function which the solution should be selected as part of the decision value (i.e. the solution with the lowest overall “Marxan cost”). This problem, and their size should be at a scale appropriate for both the is best thought of as being one of many “very-good” solutions, not ecological features and the size of the management areas likely to the best and only solution. be implemented. Boundary Length Modifier (BLM) creates greater Runs are the number of software runs (as specified by the user) connectivity by aggregating or increasing the compactness of the that are repeated by Marxan for any one scenario. Each run Marxan solutions. creates a slightly different solution to the decision problem that Conservation Features are any part of the environment, is independent of the previous one, but all runs use the same ecosystem or biodiversity for which a target is to be achieved within parameter and variable values. the decision-making problem of designing effective and efficient Solutions are an area-specific outcome to the decision problem, prioritised areas. based on a minimum cost and the decision constraints (such as Conservation Targets specify how much of each conservation targets to be achieved) as specified by the user. feature (such as a species or a habitat type) to protect within the Species Penalty Factor (SPF) is a user-defined penalty applied reserve network. Target achievement relates to how well targets to the objective function when a conservation feature target is have been met within the solution. not met within the algorithm runs. This can be adjusted upward Costs can consist of any spatially explicit factor, such as the total to push the solution towards meeting all targets within the pre- area occupied by the solution, or extraneous factors such as costs specified constraints. to acquire or manage areas, or, as used in this project, threats to Threats used in this project are proxies for many different types the ecological integrity of areas or classes of conservation features. of threat to ecological integrity, including proximity to urban areas, Cost Matrix Value is the numerical value assigned to each cost roads, Phytophthora dieback and salinity. relationship (i.e., threat to tenure) to give a relative score.
Cost Matrix Weighting is achieved when each cost is weighted in accordance with the relationship of threat to tenure.
Irreplaceability (also referred to as Selection Frequency) represents the number of times a planning unit was selected as part of a good solution from all runs in a scenario. The frequency with which planning units are selected in multiple runs gives an indication of the importance of that planning unit for efficiently meeting solution targets. South West Australian Ecoregion initiative 84
Acronyms
ABARES Australian Bureau of Agricultural and Resource IUCN International Union for Conservation of Nature Economics and Sciences JNCC Joint Nature Conservation Committee ACA Areas for Conservation Action NACC Northern Agricultural Catchment Council ANRDL Australian Natural Resources Data Library NLWRA National Land and Water Resource Audit AOR All Other Reasons NRM Natural Resources Management ASDD Australian Spatial Data Directory OSP Other Specially Protected BLM Boundary Length Modifier PEC Priority Ecological Community CPT Conservation Planning Team PRNRM Perth Region NRM CR Critically Endangered RFA Regional Forest Agreement DAFWA Department of Agriculture and Food, Western RNRM Rangelands NRM Coordinating Group Australia SCNRM South Coast Natural Resource Management Inc. DEC Department of Environment and Conservation SCP Swan Coastal Plain DEHWA Department of Environment, Heritage, Water and the Arts (now DSEWPaC) SLIP Shared Land Information Platform
DEM Digital Elevation Model SPEC Marxan species file
DIA Department of Indigenous Affairs SPF Species Penalty Factor
DIG Discover Information Geographically SRG Stakeholder Reference Group
DMP Department of Mines and Petroleum SSP Subspecies
DOW Department of Water SWAE Southwest Australia Ecoregion
DSEWPaC Department of Sustainability, Environment, Water, SWAEI Southwest Australia Ecoregion Initiative Population and Communities SWCC South West Catchment Council ELZ Extensive land-use zone TEC Threatened Ecological Community EN Endangered VU Vulnerable EPBC Environmental Protection and Biodiversity WA Western Australia Conservation Act WAHERB Western Australia Herbarium GA Geoscience Australia WAM Western Australian Museum GB GigaByte WB Wheatbelt GDA94 Geocentric Datum of Australia 1994 WG Working Group GIS Geographical Information System WNRM Wheatbelt Natural Resource Management GPS Global Positioning System WWF World Wildlife Fund IBRA Interim Biogeographic Regionalisation of Australia ZC Zonae Cogito ID Identifier ZCA Zones for Conservation Action ILZ Intensive Land-use Zone Acronyms 85
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APPENDICES
Appendix 1. Scenarios 1–3 For Scenarios 1 to 3, we have provided the best solution and selection frequency maps. Note that these maps use a historical colour scheme that was amended for Scenario 4. These scenarios are defined below.
Scenario Description • All conservation features; and Scenario 1 – No constraints • Standard conservation targets
• All conservation features; Scenario 2 – Lock-ins included • Standard conservation targets; and • Lock-in areas included
• All conservation features; Scenario 3 – Cost layer included • Standard conservation targets; and • Cost values included (including threats)
Figure 37. Scenario 1 best solution South West Australian Ecoregion initiative 88
Figure 38. Scenario 1 selection frequency
Figure 39. Scenario 2 best solution Appendices 89
Figure 40. Scenario 2 selection frequency
Figure 41. Scenario 3 best solution
South West Australian Ecoregion initiative 90
Figure 42. Scenario 3 selection frequency
Appendices 91 http://www.environment.gov.au http://www.dec.wa.gov.au http://www.dec.wa.gov.au http://www.dec.wa.gov.au http://www.dec.wa.gov.au URL link Act . Conservation Wildlife A landscape-based approach to classifying the land surface of Australia. Nominal attributes that make up IBRA are: climate, lithology/ geology, landform, vegetation, flora and fauna, land use. The Phytophthora Dieback Atlas was prepared for the State Government’s Dieback Response Group by the Department of Environment and Conservation, the community-based Dieback Working Group and industry. The Phytophthora Dieback Atlas was prepared for the State Government’s Dieback Response Group by the Department of Environment and Conservation, the community-based Dieback Working Group and industry. The Phytophthora Dieback Atlas was prepared for the State Government’s Dieback Response Group by the Department of Environment and Conservation, the community-based Dieback Working Group and industry. DEC-managed Lands and DEC-managed Lands Waters within Western This responsibility Australia. is vested under the DEC Act and Abstract Dec 2004 June 2003 Nov 2008 Nov 2008 Nov 2008 End date Australia- wide Western Australia South-west Australia South-west Australia South-west Australia Coverage 1:250,000 Not given (although based on cadastre data) 1:4,500; 1:20,000; 1:25,000 and 1:100,000 1:4,500; 1:20,000; 1:25,000 and 1:100,000 1:4,500; 1:20,000; 1:25,000 and 1:100,000 Scale Department of Sustainability, Environment, Water, Population and Communities Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Custodian ) Strategic ) Strategic ) Strategic Biogeographic Regionalisation of Australia Boundaries (IBRA) version 6.1 Land and Managed Waters Project Dieback ( Phytophthora cinnamomi Mapping, Northern Agricultural NRM Region Project Dieback ( Phytophthora cinnamomi Mapping, South Coast NRM Region Project Dieback ( Phytophthora cinnamomi Mapping, Southwest NRM Region EI project as et s u e d for the SWA Dataset name t SWAEI boundary Lock-ins Cost (dieback) Cost (dieback) Cost (dieback) Used in SWAEI ix 2. D a Appen d ix
South West Australian Ecoregion initiative 92 URL link http://www.dec.wa.gov.au http://www.landmonitor.wa.gov.au/ http://www.landmonitor.wa.gov.au/ http://www.landgate.wa.gov.au http://www.planning.wa.gov.au Abstract The Phytophthora Dieback Atlas was prepared for the State Dieback ResponseGovernment’s Group by the Department of Environment and Conservation, the community-based Dieback Working Group and industry. Additional mapping and monitoring from Old Salt Mosaic from 1991 to 1998. Monitor project is partThe Land of the Western Australian Salinity Action Plan and is supported by the Natural Heritage Trust. The project originally aimed to systematically monitor salt- affected land and remnant vegetation change over the agricultural area of south-western Western Australia. Its objectives were to map and monitor changes in the area of salt- affected land from 1988 to 1991. The SCDB is an integrated database comprising a number of layers digital spatial data, all crown and freeholddefining land parcels within Western Australia. The MRS is a large town planning scheme for land use in the Perth The MRSmetropolitan area. the future use of land,defines dividing it into broad zones and reservations. It requires local government town planning schemes to provide detailed plans for their part of the region. End date Nov 2008 Nov 1998 1991 Ongoing Ongoing Coverage South-west Australia South-west Australia South-west Australia Western Australia Perth Metro Area Scale 1:4,500; 1:20,000; and1:25,000 1:100,000 1:50,000 1:50,000 Survey accuracy 1:500 Custodian Department of Environment and Conservation Department of Environment and (LandConservation Monitor) Department of Environment and (LandConservation Monitor) Landgate (Department of Information) Land Department of Planning and Infrastructure
Phytophthora Dataset name cinnamomi ) Strategic Swan and AvonMapping, NRM Regions Project Dieback ( New Salt Mosaic Zone 50 and 51 Old Salt Mosaic Zone 50 and 51 Spatial Cadastral Database (SCDB) Metro Regional Scheme (MRS)
Used in SWAEI Cost (dieback) Cost (salinity) Cost (salinity) Cost (urbanisation) Cost (urbanisation)
Appendices 93 URL link http://www.planning.wa.gov.au http://www.planning.wa.gov.au http://www.planning.wa.gov.au http://www.planning.wa.gov.au http://www.landgate.wa.gov.au http://www.dec.wa.gov.au http://www.dec.wa.gov.au Abstract The PRS is a large town planning scheme that guides land use in the Peel Region. The PRS defines the future use of land, dividing it into broad zones and reservations. It requires local government town planning schemes to provide detailed plans for their respective parts of the region. The GBRS is a local planning scheme for land use in the Greater Bunbury region. The GBRS defines the future of land use, dividing it into zones and reservations. Structure plan for Esperance area. Land use plan for Avon area. The SCDB is an integrated database comprising a number of layers digital spatial data, defining all crown and freehold land parcels within Western Australia. DEC-managed Lands and Waters within Western Australia. This responsibility is vested under the DEC Act and Wildlife Conservation Act. The nature conservation covenant is a voluntary, legally binding document that has provisions restricting activities that might threaten the land’s conservation values. End date Ongoing Ongoing Ongoing Ongoing Ongoing Jun 2003 Aug 2008 Coverage Peel Area Greater Bunbury Area Esperance Area Avon Area Western Australia Western Australia Western Australia Scale Not given 1:25,000 Not given Not given Survey accuracy Not given (although based on cadastre data) Not given (polygon data based on cadastre dataset) Custodian Department of Planning and Infrastructure Department of Planning and Infrastructure Department of Planning and Infrastructure Department of Planning and Infrastructure Landgate (Department of Land Information) Department of Environment and Conservation Department of Environment and Conservation Dataset name Peel Regional Scheme (PRS) Greater Bunbury Regional Scheme (GBRS) Esperance Structure Plan Avon Land Use Plan Spatial Cadastral Database (SCDB) Land and Managed Waters Conservation Covenants Used in SWAEI Cost (urbanisation) Cost (urbanisation) Cost (urbanisation) Cost (urbanisation) Cost (tenure) Cost (tenure) Cost (tenure)
South West Australian Ecoregion initiative 94 URL link http://www.ntwa.com.au http://www.agric.wa.gov.au http://www.dec.wa.gov.au http://www.australianwildlife.org http://www.bushheritage.org.au Abstract Nature conservation covenants are voluntary agreements used to protect natural values on private property by restricting potentially damaging activities. Nature conservation covenants provide legal protection in perpetuity. Boundaries that determine covenants that typically limit clearing and grazing of the native vegetation but may allow uses such as the removal of selected timber and seed collection. is a voluntary scheme thatLFW aims to encourage and assist private landholders in Western Australia to provide habitats for wildlife on their property, even though the property may be managed primarily for other purposes. estate incorporatesThe AWC 21 sanctuaries around Australia millioncovering more than 2.5 Funded by donations,hectares. the AWC acquires land, plans,implements conservation researchand conducts scientific and education programs. aims toGondwana Link reconnect the larger fragments all the way from wet forests of the south to semi-arid woodlands near Kalgoorlie, which will restore a great arc of bushland and protected areas to enable the free movement of species. End date Not given Not given Nov 2008 April 2009 May 2009 Coverage Western Australia Western Australia Western Australia Western Australia South-west Australia Scale Not given (point data based on cadastre dataset) Not given (point data based on cadastre dataset) Not given (although based on cadastre data) Not given (although based on cadastre data) Not given (although based on cadastre data) Custodian National Trust Western Australia Department of Agriculture and Food, WA Department of Environment and Conservation Australian Wildlife Conservancy (AWC) Gondwana Link Dataset name Conservation Covenants Soil Covenants Land For Wildlife (LFW) Australian Wildlife Conservancy Sanctuaries Bush Heritage and Greening Australia Boundaries (BHGA) Used in SWAEI Cost (tenure) Cost (tenure) Cost (tenure) Cost (tenure) Cost (tenure)
Appendices 95 URL link http://www.dec.wa.gov.au http://www.florabase.dec.wa.gov. au/ http://www.dec.wa.gov.au http://www.birdsaustralia.com.au http://www.birdsaustralia.com.au http://www.dec.wa.gov.au http://www.dec.wa.gov.au Abstract The WA Herbarium and associated regional herbaria dynamic,form a unique, state-wide team that gathers, researches andmanages, communicates information systematicson the geography, andand biology of our unique precious flora on behalf of the Western Australian community. A dataset comprised of volunteer surveying effort between the years 1984 to of detail included Level 1986. distribution, growth form, habitat and other biological details. A database of ongoing surveying work detailing rare and priority flora points over Western Australia. Atlas data forms the basis for research such as The State of Australia’s Birds Report. Since 1998 a dedicated band atlassers haveof over 7,000 surveys,amassed over 420,000 comprising over 7.1 million bird records. A database monitoring nesting sites and chick counts for the hooded plover. A database of ongoing surveying work detailing rare and priority fauna points over Western Australia. database detailingA confidential known roosting sites throughout the south-west of Australia. End date Ongoing Dec 1990 Ongoing Ongoing Ongoing Ongoing Ongoing Coverage Western Australia Western Australia Western Australia Western Australia Western Australia Western Australia South-west Australia Scale GPS points GPS points GPS points GPS points GPS points GPS points GPS points Custodian Western Australian Herbarium Western Australian Herbarium Department of Environment and Conservation Birds Australia Birds Australia Department of Environment and Conservation Department of Environment and Conservation Dataset name Collections database Banksia Atlas Declared Rare and Priority Flora List Atlas 2 Hooded Plover Nesting Sites Threatened and Priority Fauna Black CockatooCarnaby’s Roosting Sites Used in SWAEI Flora Flora Flora Fauna Fauna Fauna Fauna
South West Australian Ecoregion initiative 96 URL link http://www.dec.wa.gov.au http://www.dec.wa.gov.au http://www.museum.wa.gov.au/ http://www.epa.wa.gov.au http://www.agric.wa.gov.au http://www.agric.wa.gov.au http://www.environment.gov.au Abstract A confidential database detailingA confidential known breeding sites throughout the south west of Australia. Broadly defined feedingBroadly defined based on a variety ofsites, Datavegetation data surrogates. used includes Pre-European Tuart Woodlands,Vegetation, Complexes andVegetation System 6 data (Heddle vegetation complexes) with data being clipped to a remnant vegetation and outputs cleaned to consider areas that have been clearing,lost to degradation, development and changing climatic conditions from the potential food sources. A database collection for a wide variety of fauna for Western Australia. Boundaries showing the location Swamp Tortoiseof the Western habitats in Western Australia. Comprehensive vegetation Bearddataset based on J.S. with mapping of the south-west corner compiled by A.J.M. Hopkins from various sources. A dataset containing vegetation extent polygons from the mapping of remnant vegetation in Western Australia. A landscape-based approach to classifying the land surface of Australia. Nominal attributes that make up IBRA are: climate, lithology/geology, landform, vegetation, flora and fauna, and land use. End date Ongoing June 2009 Ongoing Ongoing Feb 2005 August 2008 Dec 2004 Coverage South-west Australia South-west Australia Western Australia South-west Australia Western Australia Western Australia Australia- wide Scale GPS points GPS points GPS points GPS points 1:250,000 Various 1:250,000 Custodian Department of Environment and Conservation Department of Environment and Conservation Western Australian Museum Environmental Protection Authority Department of Agriculture and WA Food, Department of Agriculture and Food, WA Department of Sustainability, Environment, Water, Population and Communities Dataset name Carnaby’s Black CockatooCarnaby’s Breeding Site Carnaby’s Black CockatooCarnaby’s Feeding Sites Collections database (various) Western Swamp Tortoise Boundaries Pre-European Vegetation dataset Vegetation Extent Baseline dataset (remnant vegetation) Biogeographic Regionalisation of Australia Boundaries (IBRA) version 6.1 Used in SWAEI Fauna Fauna Fauna Fauna Vegetation Vegetation Vegetation
Appendices 97 URL link http://www.dec.wa.gov.au http://en.wikipedia.org/wiki/ Granite_outcrops_of_Western_ Australia http://www.agric.wa.gov.au http://www.ga.gov.au http://www.ga.gov.au Abstract The data contained within the Basin Wetlands of Wheatbelt and other prioritised areas mapping layer covers wetlands within most of the Wheatbelt region of south- western Western Australia, as well as in a small area of the Rangelands to the east and Darling Scarp to the west. The dataset includes all gazetted pinnacles, crags,rocks, boulders, needles, pillars, rock formations and tors in Western Australia, It doesboth inland and offshore. not include monoliths gazetted such asas mounts or hills, Mount Augustus. Comprehensive vegetation dataset based on J.S. Beard, with mapping of the south-west corner compiled by A.J.M. Hopkins from various sources. A part of the Terrain data in the TOPO 250K Series 3 Topographic dataset issued by Geoscience Australia. Deformation areas are a combination of distorted surfaces and outcrops. A gridded digital elevation model computed, using the ANUDEM elevation gridding program Version 5.2.2, from continent-wide topographic data including point elevations, streamlines, water body boundaries and cliff lines. The grid spacing is 9 seconds in longitude and latitude (approximately 250 metres). End date Oct 2008 Ongoing Feb 2005 Ongoing June 2008 Coverage Avon Wheatbelt Western Australia Western Australia Australia- wide Australia- wide Scale 1:100,000 GPS points 1:250,000 1:250,000 1:250,000 Custodian Department of Environment and Conservation Wikipedia Department of Agriculture and Food, WA Geoscience Australia Geoscience Australia
Dataset name Wetlands of the Wheatbelt Western Australia Granite Outcrop locations Pre-European Vegetation dataset Deformation Areas GEODATA 9 Second DEM (DEM-9S) Version 3 Used in SWAEI Granite outcrops Granite outcrops Granite outcrops Granite outcrops South-facing slopes
South West Australian Ecoregion initiative 98 URL link http://www.dec.wa.gov.au http://www.dec.wa.gov.au http://www.dec.wa.gov.au http://www.dec.wa.gov.au http://www.dec.wa.gov.au Abstract Ecological communities throughout WA that are “Presumed Totally Destroyed”, “Critically Endangered”, “Endangered”, “Vulnerable”, “Priority 1-5”, “Lower Risk” and “Not evaluated”. Communities are based on various lifeforms, including plants, invertebrates and micro-organisms. The dataset displays the location, boundary and geomorphic classification of wetlands within Darkan to Duranillin. Wetlands in this dataset have been classified into types according to the geomorphic wetland classification system. The dataset displays the location, boundary and geomorphic classification (wetland type) of wetlands from Augusta to Walpole. The dataset displays the geomorphic boundary, location, (wetland type) andclassification management category of wetlands on the Swan Coastal Plain. The data contained within the Basin Wetlands of Wheatbelt and other prioritised areas mapping layer covers wetlands within most of the Wheatbelt region of south- western Western Australia, as well as in a small area of the Rangelands to the east and Darling Scarp to the west. End date Ongoing Mar 2010 Jun 2008 Ongoing Oct 2008 Coverage Western Australia Darkan to Duranillin Augusta to Walpole South Coastal Plains Avon Wheatbelt Scale GPS point location within 100 m accuracy. Polygons manually determined. 1:25,000 1:25,000 1:25,000 1:100,000 Custodian Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation
Dataset name Priority Ecological Community Sites Threatened and Geomorphic Wetlands Darkan-Duranillin Geomorphic Wetlands from Augusta to Walpole Geomorphic Wetlands of the Swan Coastal Plains Wetlands of the Wheatbelt Used in SWAEI TECs and PECs Water bodies Water bodies Water bodies Water bodies
Appendices 99 URL link http://www.water.wa.gov.au/ http://www.water.wa.gov.au/ http://www.ga.gov.au http://www.ga.gov.au http://www.ga.gov.au http://www.ga.gov.au http://www.ga.gov.au http://www.environment.gov.au Abstract Major streamlines of WA, coded with hierarchy and names. Catchments in Western Australia that have not been significantly altered by humans. These catchments are considered of very high environmental value, due to the undisturbed state, for their water quality and biodiversity A part of the Terrain data in the TOPO 250K Series 3 Topographic dataset issued by Geoscience Australia. A part of the Terrain data in the TOPO 250K Series 3 Topographic dataset issued by Geoscience Australia. A part of the Terrain data in the TOPO 250K Series 3 Topographic dataset issued by Geoscience Australia. A part of the Terrain data in the TOPO 250K Series 3 Topographic dataset issued by Geoscience Australia. A part of the Terrain data in the TOPO 250K Series 3 Topographic dataset issued by Geoscience Australia. Ramsar wetlands are those that are representative, rare or unique or are important forwetlands, biological diversity.conserving These are included on the List of Wetlands International Importance developed under the Ramsar convention. End date Nov 2007 Dec 2002 June 2006 June 2006 June 2006 June 2006 June 2006 Mar 2007 Coverage Western Australia Western Australia Australia- wide Australia- wide Australia- wide Australia- wide Australia- wide Australia- wide Scale 1:100,000– 250,000 1:250,000 1:250,000 1:250,000 1:250,000 250 000 1: 1:250,000 1:25,000 Custodian Department of Water Department of Water Geoscience Australia Geoscience Australia Geoscience Australia Geoscience Australia Geoscience Australia Department of Sustainability, Environment, PopulationWater, and Communities Dataset name Rivers Wild Rivers Springs Lakes Water points Water holes Caves Ramsar wetlands Used in SWAEI Water bodies Water bodies Water bodies Water bodies Water bodies Water bodies Water bodies Water bodies: Listed
South West Australian Ecoregion initiative 100 URL link http://www.environment.gov.au http://www.epa.wa.gov.au http://www.dec.wa.gov.au http://www.dec.wa.gov.au http://www.agric.wa.gov.au
Abstract The directory not only identifies nationally important wetlands, it provides a substantial knowledge base of what defines wetlands, and the many floratheir variety, and fauna species that depend on them. Boundaries showing areas of environmental values for lakes Theon the Swan Coastal Plain. draining,policy made the filling, polluting andexcavating, clearing of these lakes an offence unless authorised by the EPA. The dataset displays the location, boundary, geomorphic classification (wetland type) and management category of wetlands on the Swan Coastal Plain. The data contained within the Basin Wetlands of the Wheatbelt and other prioritised areas mapping layer covers wetlands within most of the Wheatbelt region of south-western Western as well in a smallAustralia, area of the Rangelands to east and the Darling Scarp to west. A dataset containing vegetation extent polygons from the mapping of remnant vegetation in Western Australia. End date Oct 2008 Dec 1992 Ongoing Oct 2008 August 2008 Coverage Australia- wide South Coastal Plains South Coastal Plains Avon Wheatbelt Western Australia Scale 1:250,000 (largely fromderived GA Topo 250K Water bodies data) 1:50,000 1:25,000 1:100,000 Various Custodian Department of Sustainability, Environment, PopulationWater, and Communities Environmental Protection Authority Department of Environment and Conservation Department of Environment and Conservation Department of Agriculture and WA Food, Dataset name Wetlands of National Directory ofSignificance: Important Wetlands in Australia (DIWA) Environmental Protection (Swan Coastal Policy 1992 Plain Lakes) Geomorphic Wetlands South Coastal Plains Wetlands of the Wheatbelt ExtentVegetation Baseline dataset (remnant vegetation)
Used in SWAEI Water bodies: Listed Water bodies: Listed Water bodies: Listed Water bodies: Listed Vegetation connectivity
Appendices 101
How to obtain data Apply to the Hooded Plover Project Apply to Birds Australia (http://www.birdsaustralia.com.au/our-projects/atlas-birdata.html) https://www2.landgate.wa.gov.au/slip/portal/services/services.html https://www2.landgate.wa.gov.au/slip/portal/services/services.html Apply to Species and Communities Branch, DEC https://www2.landgate.wa.gov.au/slip/portal/services/services.html https://www2.landgate.wa.gov.au/slip/portal/services/services.html https://www2.landgate.wa.gov.au/slip/portal/services/services.html https://www2.landgate.wa.gov.au/slip/portal/services/services.html Apply to Wetlands, DEC (Adrian Pinder http://www.avonnaturaldiversity.org/index.php?option=com_conte nt&task=view&id=26&Itemid=34) https://www2.landgate.wa.gov.au/slip/portal/services/services.html Apply to Species and Communities Branch, DEC (Ken Atkins, Manager) Apply for data at Species and Communities Branch, DEC (Manager, Ken Atkins) Apply to Species and Communities Branch, DEC (Manager, Ken Atkins) Need to apply for data at Species and Communities Branch, DEC (Manager, Ken Atkins) Apply to Species and Communities Branch, DEC (Manager, Ken Atkins) http://www.environment.gov.au/metadataexplorer/explorer.jsp http://www.environment.gov.au/metadataexplorer/explorer.jsp http://www.environment.gov.au/metadataexplorer/explorer.jsp http://www.dia.wa.gov.au/templates/ExistingSite/SD_X_SitesDownload.aspx Apply to GIS department (Bradley Tapping, GIS Officer, [email protected]) (Marcus Singor, [email protected]) Dataset Hooded Plover Database Native Vegetation Extent by Type Pre-European Vegetation, WA River Drainage Geomorphic wetland: Augusta to Walpole Plain Coastal Swan wetland: Geomorphic Ramsar Sites South Coast Significant Wetlands Wheatbelt wetlands DEC-managed Lands and Waters Threatened Ecological Communities Banksia Atlas Declared and Endangered Flora WA Herbarium data Threatened and Priority Fauna IBRA Regions 6.1 IBRA Subregions 6.1 National directory of Important Wetlands Aboriginal Heritage Site Rivers Bird Atlas 2 a s ource t Custodian Birds Australia (Western Australia) Department of Agriculture and Food WA Department of Agriculture and Food WA Department of Environment and Conservation (Manager, Ken Atkins) Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment and Conservation Department of Environment, Water, Heritage and the Arts Department of Environment, Water, Heritage and the Arts Department of Environment, Water, Heritage and the Arts Department of Indigenous Affairs Department of Water Birds Australia (Western Australia) ix 3. D a Appen d ix
South West Australian Ecoregion initiative 102
How to obtain data Apply to GIS department (Bradley Tapping, GIS Officer, [email protected]) Apply to GIS department (Bradley Tapping, GIS Officer, [email protected]) Apply to GIS department at EPA (Rodney Nowrojee, Manager of the EPA’s Spatial Services, Apply to GIS department at EPA (Rodney Nowrojee, Manager of the EPA’s Spatial Services, Apply to GIS department at EPA (Rodney Nowrojee, Manager of the EPA’s Spatial Services, Apply to GIS department at EPA (Rodney Nowrojee, Manager of the EPA’s Spatial Services, Apply to GIS department at EPA (Rodney Nowrojee, Manager of the EPA’s Spatial Services, Apply to Gaia ([email protected]) or alternatively can be produced using the IBRA 6.1 regions Apply to Gaia ([email protected]) or alternatively can be produced using the IBRA 6.1 regions Apply to Gaia ([email protected]) or alternatively can be produced using the IBRA 6.1 regions Apply to Gaia ([email protected]) or alternatively can be produced using the IBRA 6.1 regions http://www.geoscience.gov.au/bin/mapserv36?map=/public/http/www/geoportal/ gadds/gadds.map&mode=browse or order CD through Geoscience Australia ([email protected]) https://www.ga.gov.au/products/servlet/controller?event=PRODUCT_SELECTION &keyword=GEODATA+COAST+100K+2004 Order CD from Geoscience Australia ([email protected]) Apply to Landgate (Ken Dawbin, [email protected]) https://www2.landgate.wa.gov.au/slip/portal/services/services.html [email protected]) [email protected]) [email protected]) [email protected]) [email protected]) Dataset Wild Rivers South Eastern Coast wetlands Western swamp tortoise misc areas Ecoregion Boundary with 100 km buffer (clipped to coast) Transitional Zone Botanical province GEODATA 9 Second DEM and D8 (Digital Elevation Model Version 3 and Flow Direction Grid) GEODATA COAST 100K 2004 GEODATA TOPO 250K Series 3 Topographic Data Salinity extent and change data Local Government Authority (LGA) Boundaries Western swamp tortoise policy boundaries SCP lakes register South-west Wetlands (EPP-1998) Ag Zone candidate areas South-west Wetlands (EPP-1998) register boundaries Ecoregion Boundary (SWAEI boundary) Custodian Department of Water Department of Water Environmental Protection Authority Gaia Resources Gaia Resources Gaia Resources Geoscience Australia Geoscience Australia Geoscience Australia Department of Environment and Conservation (Land Monitor) Landgate Environmental Protection Authority Environmental Protection Authority Environmental Protection Authority Environmental Protection Authority Gaia Resources
Appendices 103
How to obtain data http://www.ozcoasts.org.au/search_data/estuary_data.jsp (only in .csv form) Apply to Project Dieback project manager (Lindy Twycross [email protected]) Apply to Project Dieback project manager (Lindy Twycross [email protected]) Apply to Project Dieback project manager (Lindy Twycross [email protected]) Apply to Project Dieback project manager (Lindy Twycross [email protected]) Apply to the WA Museum collections and Research Facility ([email protected] ) Dataset Estuaries (near pristine) Dieback: Swan and Avon NRM Group Dieback: Northern Agriculture NRM Group Dieback: South Coast NRM Group Dieback: South West NRM Group Collection databases Custodian OZ Coasts SCNRM SCNRM SCNRM SCNRM WA Museum
South West Australian Ecoregion initiative
104 Target
1 1 0.77 1 0.49 1 1 0.89 1 0.64 1 0.9 0.68 1 1 Urbanisation Urbanisation
n/a 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
n/a 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
n/a
0.05
Kwongan
0.65 0.65 Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
0.19 0.20 24.37 37.63 179.51 1432.07 3568.66 2.39 89.62 25.85 3009.52 38.61 13.90 37.37 34.16
(sq km) (sq
Veg Remnant 0.03 0.01 7.95 5.34 91.01 170.23 374.78 0.67 10.08 21.20 671.52 10.69 6.12 16.87 14.19 a rget s w ing t ) ) & wandoo loxophleba Eucalyptus Description Non remnant veg, water bodies, others Non remnant veg, Tall forest Karri Medium forest; jarrah-marri Medium forest; Medium woodland; marri & wandoo Medium woodland; Medium woodland; wandoo &Medium woodland; powderbark ( Eucalytpus accedens ) Medium woodland; York gumMedium woodland; ( Medium woodland; salmon gum &Medium woodland; gimlet Medium open woodland; wandoo Medium open woodland; Low woodland; Allocasuarina woodland; Low huegeliana & York gum Low woodland; paperbark ( Melaleuca woodland; Low sp. acacia-casuarinaShrublands; thicket, alliance Shrublands; teatree thicket Shrublands; acacia scrub, variousShrublands; acacia scrub, species Shrublands; tallerack mallee-heath Shrublands; scrub-heath t, s ho ture li s t, tion fe a a
Name No data or other Tall forest A Avon Wheatbelt Tall forest A Avon Medium forest A Avon Wheatbelt Medium woodland A Avon Wheatbelt Medium woodland B Avon Wheatbelt Medium woodland D Avon Wheatbelt Medium woodland E Avon Wheatbelt Medium open woodland A Avon Wheatbelt Low woodland H AvonLow Wheatbelt Low woodland I AvonLow Wheatbelt Shrublands Thicket A Avon Wheatbelt Shrublands Teatree A Avon Wheatbelt Shrublands Acacia B Avon Wheatbelt Shrublands Other A Avon Wheatbelt Shrublands Scrub heath A Avon Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan ix 4. C on s erv Appen d ix Vegetation 9000000 9010001 9010003 9010004 9010005 9010007 9010008 9010013 9010025 9010027 9010036 9010037 9010040 9010047 9010048
Appendices
105 Target
0.47 1 0.9 1 1 0.24 0.25 0.25 0.26 1 1 1 0.38 0.31 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
1.96 689.79 2513.74 5616.40 80.54 42.85 54.40 12.75 81.25 6317.61 917.73 66.57 43.30 2.74
(sq km) (sq
Veg Remnant 1.04 33.52 702.01 677.76 3.32 35.72 54.38 12.75 76.71 1098.87 57.49 39.65 28.50 2.19
Description Shrublands; mixed heath Mosaic: Medium woodland; salmon Medium woodland; Mosaic: malleegum & gimlet/shrublands; redwood & black marlock scrub, Medium woodland; York gum, salmon York gum, Medium woodland; gum & gimlet Medium woodland; York gum &Medium woodland; salmon gum Mosaic: Medium woodland; York gum Medium woodland; Mosaic: & salmon gum/shrublands; thicket, acacia-casuarina-melaleuca alliance Succulent steppe with scrub; acaciaSucculent steppe with scrub; species over saltbush Succulent steppe; saltbush Succulent steppe; Succulent steppe with open woodland; York gum over saltbush Succulent steppe; saltbush & samphire Succulent steppe; Medium woodland; York gum Medium woodland; Shrublands; jam and Acacia rostellifera (+hakea) scrub with scattered York gum Shrublands; bowgada & jam scrub with scattered York gum & red mallee Succulent steppe with open woodland; eucalypts over saltbush Shrublands; bowgada & Acacia quadrimarginea on stony ridges
Name Shrublands Mixed A Avon Wheatbelt Mosaic A Avon Wheatbelt Medium woodland I Avon Wheatbelt Medium woodland J Avon Wheatbelt Mosaic B Avon Wheatbelt Succulent steppe with scrub A Avon Wheatbelt Succulent steppe A Avon Wheatbelt Succulent steppe with open woodland A Avon Wheatbelt Succulent steppe B Avon Wheatbelt Medium woodland M Avon Wheatbelt Shrublands Jam B AvonShrublands Jam Wheatbelt Shrublands Bowgada D Avon Wheatbelt Succulent steppe with open woodland B Avon Wheatbelt Shrublands Bowgada E Avon Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9010049 9010131 9010141 9010142 9010145 9010147 9010221 9010314 9010325 9010352 9010354 9010355 9010356 9010358
South West Australian Ecoregion initiative
106 Target
1 0.55 1 1 1 0.32 0.8 1 0.42 0.73 1 0.24 0.43 0.25 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05
Dieback Dieback
Kwongan
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
4.17 49.30 228.14 15.48 13.91 3.29 3.89 3.75 101.85 450.79 2560.27 1750.93 3.30 84.93 966.50
(sq km) (sq
Veg Remnant 0.23 22.52 23.03 3.36 1.67 2.57 1.21 0.87 61.12 154.51 287.96 1437.42 1.54 84.93 119.94
A.
resinomarginea A. acutivalvis on ironstone Melaeuca thyioides & Acacia neurophylla Acacia neurophylla, spp . thicket ) over samphire Melaleuca thyioides Description Shrublands; bowgada & jam scrub with scattered York gum & red mallee Shrublands; bowgada scrub with scattered York gum Shrublands; scrub-heath on sandplain Shrublands; bowgada & jam scrub with scattered York gum Shrublands; thicket Shrublands; bowgada & Acacia murrayana scrub Succulent steppe with scrub; teatreeSucculent steppe with scrub; ( Shrublands; A. Shrublands; bowgada, jam and Melaleuca uncinata thicket Shrublands; bowgada & jam scrub beauverdiana & Shrublands; thicket Shrublands; mixed acacia thicket on sandplain Shrublands; dodonaea scrub Shrublands; thicket, jam &Shrublands; thicket, Allocasuarina Medium woodland; salmon gum &Medium woodland; morrel
Name Shrublands Bowgada J Avon Wheatbelt Shrublands Bowgada K Avon Wheatbelt Shrublands Scrub heath D Avon Wheatbelt Shrublands Bowgada L Avon Wheatbelt Shrublands Melaeuca E Avon Wheatbelt Shrublands Bowgada M Avon Wheatbelt Succulent steppe with scrub D Avon Wheatbelt Shrublands Acacia O Avon Wheatbelt Shrublands Bowgada N Avon Wheatbelt Shrublands Bowgada O Avon Wheatbelt Shrublands Acacia T Avon Wheatbelt Shrublands Mixed C Avon Wheatbelt Shrublands Other E Avon Wheatbelt Shrublands Thicket C Avon Wheatbelt Medium woodland V AvonMedium woodland V Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9010365 9010374 9010380 9010385 9010392 9010404 9010412 9010413 9010419 9010420 9010435 9010437 9010438 9010495 9010511
Appendices
107 Target
1 1 1 1 1 0.25 0.45 1 1 1 0.97 1 0.43 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05
0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.65 0.65
Mallee
0.65
0.65
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
2.61 117.93 111.71 7.88 2581.68 114.64 1048.21 1249.68 2135.66 90.70 378.82 100.11 28.80
(sq km) (sq
Veg Remnant 0.14 46.64 39.46 0.60 407.04 112.95 586.36 257.78 336.07 40.26 97.90 9.40 16.93
Acacia brachystachya Allocasuarina campestris Casuarina acutivalvus & quercifolia & Dryandra Description Shrublands; mallee scrub, blackShrublands; mallee scrub, marlock Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, eremophila Medium woodland; morrell & rough- Medium woodland; fruited mallee ( Eucalyptus corrugata ) Shrublands; scrub Shrublands; thicket Shrublands; (also melalueca ) thicketcalothamnus on greenstone hills Succulent steppe with woodland and York gum over Melaleucathicket; & samphire thyoides Succulent steppe; samphire Succulent steppe; Mosaic: Shrublands; Shrublands; jam Shrublands; Shrublands; Mosaic: scrub with scattered York gum in the valleys/ Allocasuarina campestris thicket Medium woodland; York gum & redMedium woodland; mallee Shrublands; bowgada & jam scrub with scattered Allocasuarina & York gum heugelliana Shrublands; spp. thicket Eucalytpus Shrublands; casuarina & melaleuca thicket
Name Shrublands Mallee J Avon Wheatbelt Shrublands Mallee K Avon Wheatbelt Medium woodland ZA Avon Wheatbelt Shrublands Acacia W Avon Wheatbelt Shrublands Allocasuarina A Avon Wheatbelt Shrublands Casuarina A Avon Wheatbelt Succulent steppe with woodland D Avon Wheatbelt Succulent steppe F Avon Wheatbelt Mosaic ZI AvonWheatbelt Medium woodland ZD Avon Wheatbelt Shrublands Bowgada P Avon Wheatbelt Shrublands Other G Avon Wheatbelt Shrublands Casuarina B Avon Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9010516 9010519 9010536 9010538 9010551 9010552 9010631 9010676 9010684 9010686 9010687 9010691 9010692
South West Australian Ecoregion initiative
108 Target
1 1 1 0.89 1 1 0.53 1 1 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
0.05
Kwongan
0.65
0.65 0.65
0.65
Mallee
0.65
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
43.96 1727.49 6.58 26.49 1055.26 113.44 15.51 19.42 355.00 433.20
(sq km) (sq
Veg Remnant 32.27 128.63 0.90 8.92 211.29 21.30 7.30 1.85 40.19 81.91
Allocasuarina campestris Description over mallee and acaciaheugeliana scrub/Allocasuarina campestris thicket Mosaic: Low woodland: Allocasuarina Low woodland: Mosaic: Shrublands; scrub-heath on yellow sandplain banksia-xylomelum alliance in the Geraldton Sandplain & Avon Wheatbelt Regions Shrublands; scrub Shrublands; casuarina & dryandra thicket with wandoo & powderbark wandoo Shrublands; scrub-heath on lateritic sandplain in the southern Geraldton Sandplain Region Mosaic: Shrublands; scrub-heath Shrublands; Mosaic: dryandra-calothamnus association with Banksia prionotes on limestone in the northern Swan Region/sparse wandoo & powderbarklow woodland; wandoo Medium woodland; yate Medium woodland; Medium woodland; salmon gum Medium woodland; Mosaic: Medium woodland; salmon Medium woodland; Mosaic: gum /shrublands; mallee scrub, redwood & black marlock Medium woodland; wandoo Medium woodland;
Name Mosaic ZJ Avon Wheatbelt Shrublands Scrub heath G Avon Wheatbelt Shrublands Allocasuarina B Avon Wheatbelt Shrublands Casuarina C Avon Wheatbelt Shrublands Scrub heath H Avon Wheatbelt Mosaic ZK Avon Wheatbelt Medium woodland ZE Avon Wheatbelt Medium woodland ZF Avon Wheatbelt Mosaic ZO Avon Wheatbelt Medium woodland ZH Avon Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9010693 9010694 9010695 9010696 9010697 9010698 9010931 9010936 9010945 9010946
Appendices
109 Target
0.68 0.81 0.97 0.43 0.34 0.79 0.79 1 1 1 0.62 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.65
0.65 Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
340.33 14.41 49.73 4.97 275.08 192.58 23.62 65.02 1211.42 255.56 48.53 86.07
(sq km) (sq
Veg Remnant 124.38 4.43 12.88 2.87 202.11 60.57 7.48 16.16 123.93 31.15 19.53 8.59
Allocasuarina campestris Description Medium woodland; powderbark &Medium woodland; mallet Medium woodland; York gum & riverMedium woodland; gum Low woodland; banksia woodland; Low Medium woodland; Casuarina obesa Medium woodland; Succulent steppe with sparse woodland & thicket; York gum Kondinin blackbutt over teatree thicket & samphire Shrublands; dryandra heath Succulent steppe with thicket; teatreeSucculent steppe with thicket; samphire (m5) over Shrublands; thicket, jam &Shrublands; thicket, Allocasuarina huegelliana Mosaic: Shrublands; scrub-heath Shrublands; Mosaic: (South East Avon)/shrublands; Allocasuarina campestris thicket Shrublands; thicket with scattered wandoo Succulent steppe with sparse woodland & thicket; yorrell Kondinin blackbutt over teatree & samphire Shrublands; mallee scrub, redwood &Shrublands; mallee scrub, black marlock
Name Medium woodland ZI Avon Wheatbelt Medium woodland ZJ AvonMedium woodland ZJ Wheatbelt Low woodland Z AvonLow Wheatbelt Medium woodland ZK Avon Wheatbelt Succulent steppe with sparse woodland and thicket A Avon Wheatbelt Shrublands Other H Avon Wheatbelt Succulent steppe with thicket A Avon Wheatbelt Shrublands Thicket D Avon Wheatbelt Mosaic ZP Avon Wheatbelt Shrublands Allocasuarina C Avon Wheatbelt Succulent steppe with sparse woodland and thicket B Avon Wheatbelt Shrublands Mallee P Avon Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9010947 9010948 9010949 9010950 9010951 9010952 9010953 9010954 9010955 9010956 9010959 9010960
South West Australian Ecoregion initiative
110 Target
1 1 0.69 1 1 0.42 1 0.88 0.79 0.6 1 1 0.42 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.65
0.65
0.65
0.65 Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
16.62 0.62 40.19 768.67 8.92 19.03 2.60 942.67 81.10 4.56 15254.49 7391.95 19.20 4.11
(sq km) (sq
Veg Remnant 3.08 0.05 14.64 114.48 2.03 9.13 0.36 267.13 25.63 1.91 1666.36 728.79 11.49 0.98
) astringens ) Eucalytpus Melaleuca spp. Description Mosaic: shrublands; scrub-heath shrublands; Mosaic: (South East Avon)/Shrublands; Allocasuarina campestris thicket Medium woodland; malletMedium woodland; ( Medium woodland; yate & paperbarkMedium woodland; ( Medium woodland; wandoo & yate Medium woodland; Medium woodland; jarrah, marri & jarrah, Medium woodland; wandoo Succulent steppe with low woodland; myoporum over samphire Shrublands; mallee-heath (Stirling Range) Succulent steppe with thicket; over samphire Melaleuca thyoides Mosaic: medium open woodlandMosaic: wandoo & shrublands mixed heath Succulent steppe with woodland; Casuarina obesa & samphire Medium woodland; York gum,Medium woodland; wandoo & salmon gum ( Eucalyptus ) salmonophloia Shrublands; mallee & casuarina thicket Mosaic: medium woodland; York medium woodland; Mosaic: gum, salmon gum & morrel/Succulent saltbush & samphire steppe; Mosaic: shrublands; hakea scrub- shrublands; Mosaic: dryandra heath heath/Shrublands;
Name Mosaic ZQ Avon Wheatbelt Medium woodland ZL AvonMedium woodland ZL Wheatbelt Medium woodland ZM AvonMedium woodland ZM Wheatbelt Medium woodland ZO Avon Wheatbelt Medium woodland ZP Avon Wheatbelt Succulent steppe with low woodland B Avon Wheatbelt Shrublands Mallee T Avon Wheatbelt Succulent steppe with Wheatbelt thicket B Avon Mosaic ZV Avon Wheatbelt Mosaic ZV Succulent steppe with woodland F Avon Wheatbelt Medium woodland ZZA Avon Wheatbelt Shrublands Mallee V AvonShrublands Mallee V Wheatbelt Mosaic ZZD Avon Wheatbelt Avon Mosaic ZZD Mosaic ZZG Avon Wheatbelt Mosaic ZZG Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9010961 9010962 9010963 9010967 9010968 9010976 9010986 9010988 9011004 9011022 9011023 9011024 9011025 9011031
Appendices
111 Target
0.61 1 1 1 0.42 1 0.77 1 1 1 1 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 Dieback Dieback
Kwongan
0.65
0.65 0.65 0.65 Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
47.81 2.69 8.18 8.62 138.15 8333.85 138.23 1268.06 210.73 1453.11 93.63 22.60
(sq km) (sq
Veg Remnant 15.56 0.54 0.22 0.84 81.50 620.71 44.69 149.12 40.54 143.83 2.64 0.10
Melaleuca uncinata Description & jam huegeliana Low woodland; Allocasuarina woodland; Low Succulent steppe with low woodland; sheoak over samphire Mosaic: medium woodland; York gum medium woodland; Mosaic: & salmon gum/shrublands; Melaleuca thicket thyioides Succulent steppe with woodland; YorkSucculent steppe with woodland; gum & samphire Mosaic: shrublands; melaleuca patchy shrublands; Mosaic: samphire scrub/succulent steppe; Medium woodland; wandoo, York wandoo, Medium woodland; morrel & gimlet gum, salmon Shrublands; thicket with scattered York gum Shrublands; York gum & Eucalyptus mallee scrub sheathiana Shrublands; thicket, acacia &Shrublands; thicket, Allocasuarina campestris Mosaic: shrublands; Medium shrublands; Mosaic: salmon gum & gimlet/Yorkwoodland; gum & Eucalyptus sheathiana mallee scrub Shrublands; York gum & Eucalyptus gonglocarpa mallee scrub Mosaic: medium woodland; salmon medium woodland; Mosaic: malleegum & gimlet/shrublands; sheathianaEucalyptus longicornis & E. scrub
Name Low woodland ZF AvonLow Wheatbelt Succulent steppe with low woodland C Avon Wheatbelt Mosaic ZZK Avon Wheatbelt Succulent steppe with woodland G Avon Wheatbelt Mosaic ZZL Avon Wheatbelt Mosaic ZZL Medium woodland ZZF Avon Wheatbelt Shrublands Melaeuca I Avon Wheatbelt Shrublands York Gum B Avon Wheatbelt Shrublands Thicket E Avon Wheatbelt Mosaic ZZM Avon Wheatbelt Shrublands York Gum C Avon Wheatbelt Mosaic ZZN Avon Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9011041 9011042 9011044 9011046 9011048 9011049 9011053 9011055 9011056 9011057 9011058 9011059
South West Australian Ecoregion initiative
112 Target
0.6 0.33 1 0.25 1 0.55 0.6 0.45 1 0.34 1 1 Urbanisation Urbanisation
0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.65
0.65
0.65 Mallee
0.65
0.65
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
427.47 225.27 8.63 3.36 60.28 753.48 143.14 46.25 89.36 13.92 39.51 151.48
(sq km) (sq
Veg Remnant 179.46 101.25 4.48 3.36 41.41 339.71 59.79 25.90 12.48 6.79 10.11 26.75
sheathiana thickets on salt flats mallee scrub sheathiana Eucalyptus redunca ) Eucalyptus Description Mosaic: medium sparse woodland;Mosaic: salmon gum & yorrell/succulent saltbush & samphire steppe; Succulent steppe with open woodland Melaleuca York gum over & thicket; & samphire thyiodes Medium-low woodland; York gum &Medium-low woodland; cypress pine ( Callitris columellaris ) Medium woodland; salmon gum,Medium woodland; morrel, gimlet & rough-fruited mallee Mosaic: shrublands; medium shrublands; Mosaic: wandoo & gimlet/York gumwoodland; & Medium woodland; salmon gum,Medium woodland; morrel, gimlet & Eucalyptus sheathiana Medium woodland; wandoo & mallet Medium woodland; Succulent steppe with open woodland wandoo & Allocasuarina & thicket; obesa over teatree & samphire Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, & black marlockeremophila ( Medium woodland; jarrah & river gum Medium woodland; Succulent steppe with malle & mallee and Melaleucathickets; uncinata Eucalyptus Shrublands; mallee scrub, longicornis & E.
Name Mosaic ZZO Avon Wheatbelt Succulent steppe with open woodland C Avon Wheatbelt Medium-Low woodland A Avon Wheatbelt Medium woodland ZZG Avon Wheatbelt Mosaic ZZP Avon Wheatbelt Medium woodland ZZH Avon Wheatbelt Medium woodland ZZI Avon Wheatbelt Succulent steppe with open woodland D Avon Wheatbelt Shrublands Mallee X Avon Wheatbelt Medium woodland ZZJ Avon Wheatbelt Succulent steppe with malle and thickets A Avon Wheatbelt Shrublands Mallee Y Avon Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9011061 9011062 9011063 9011067 9011065 9011068 9011073 9011074 9011075 9011077 9011080 9011081
Appendices
113 Target
0.7 1 0.73 0.68 0.61 1 1 1 0.71 1 1 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.65
0.65 0.65 Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
103.80 517.87 7.53 3.95 7.16 779.52 71.77 51.18 3.74 654.58 428.55 4.94
(sq km) (sq
Veg Remnant 37.12 79.43 2.57 1.45 2.93 82.48 16.29 5.68 1.33 41.71 39.83 0.30
Allocasuarina campestris eremophila & blackEucalyptus Description Succulent steppe with open woodland salmon gum & wandoo, & scrub; Allocasuarina obesa over teatree & samphire Medium woodland; wandoo & blueMedium woodland; mallet ( Euclayptus gardneri ) Medium woodland; wandoo, morrell & wandoo, Medium woodland; blue mallet Medium woodland; mallet & blueMedium woodland; mallet Low woodland; banksia prionotes & woodland; Low Allocasuarina huegeliana Medium woodland; wandoo, York wandoo, Medium woodland; gum & morrell Succulent steppe with open woodland eucalypts & Allocasuarina & thicket; obesa over teatree & samphire Mosaic: medium woodland; York gum medium woodland; Mosaic: & salmon gum/shrublands; mallee scrub, marlock Medium woodland; York gum, yate & York gum, Medium woodland; salmon gum Shrublands; thicket with patches of heath Shrublands; scrub-heath in the south-east Avon-Wheatbelt Region Shrublands; scrub-heath acacia- ecdeiocolia association in the south- east Geraldton Sandplain Region
Name Succulent steppe with open woodland E Avon Wheatbelt Medium woodland ZZL Avon Wheatbelt Medium woodland ZZM Avon Wheatbelt Medium woodland ZZN Avon Wheatbelt Low woodland ZG AvonLow Wheatbelt Medium woodland ZZO Avon Wheatbelt Succulent steppe with open woodland F Avon Wheatbelt Mosaic ZZS Avon Wheatbelt Medium woodland ZZP Avon Wheatbelt Shrublands Allocasuarina D Avon Wheatbelt Shrublands Scrub heath J Avon Wheatbelt Shrublands Scrub heath L Avon Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9011083 9011085 9011087 9011088 9011091 9011092 9011093 9011094 9011095 9011143 9011147 9011149
South West Australian Ecoregion initiative
114 Target
1 0.65 1 1 0.24 0.42 0.99 0.83 0.4 1 1 0.52 Urbanisation Urbanisation
0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
390.49 78.12 17.30 20.08 105.05 8.36 5486.06 255.01 14.63 23.32 124.76 94.17
(sq km) (sq
Veg Remnant 36.00 29.91 3.36 0.51 87.55 4.95 1383.58 77.07 9.21 4.28 20.09 45.63
Allocasuarina Allocasuarina campestris Description Shrublands; Acacia thicket with patches of heath Mosaic: medium woodland; York medium woodland; Mosaic: gum/shrublands; campestris thicket Shrublands; thickets with scattered jam & casuarina Mosaic: shrublands; scrub-heath shrublands; Mosaic: on sandplain (banksia-xylomelum alliance) in the Geraldton Sandplain & Avon Wheatbelt Regions/shrublands; Allocasuarina campestris thicket Mosaic: succulent steppe with thicket;Mosaic: over samphire/ Melaleuca thyiodes bowgada open scrub shrublands; Bare areas; claypans Shrublands; acacia, casuarina &Shrublands; acacia, melaleuca thicket Medium woodland; wandoo, yate & wandoo, Medium woodland; gum river Shrublands; tamma & dryandra thicket Shrublands; scrub-heath in the Mallee Region Shrublands; bowgada and associated spp. scrub Succulent steppe with open woodland yate over teatree & samphire & scrub;
Name Shrublands Acacia ZC AvonShrublands Acacia ZC Wheatbelt Mosaic ZZZ Avon Wheatbelt Shrublands Allocasuarina E Avon Wheatbelt Mosaic ZZZB Avon Wheatbelt Mosaic ZZZC Avon Wheatbelt Bare Areas F Avon Wheatbelt Shrublands Acacia ZE AvonShrublands Acacia ZE Wheatbelt Medium woodland ZZZA Avon Wheatbelt Shrublands Other N Avon Wheatbelt Shrublands Scrub heath N Avon Wheatbelt Shrublands Bowgada Q Avon Wheatbelt Succulent steppe with open woodland G Avon Wheatbelt Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9011154 9011155 9011156 9011164 9011198 9011271 9011413 9011967 9012047 9012048 9012081 9012093
Appendices
115 Target
0.71 0.15 0.29 0.15 0.16 0.2 0.15 0.15 0.2 0.15 0.2 0.2 0.2 0.2 Urbanisation Urbanisation
0.05 0.05
0.05
0.05
0.05 0.05 0.05 0.05 Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
63.74 9.52 9.67 201.02 17.73 3.23 35.87 102.14 23.31 2415.15 102.72 284.98 140.76 154.60
(sq km) (sq
Veg Remnant 17.96 9.52 6.64 200.12 16.80 3.23 35.87 102.14 23.31 2415.15 102.72 284.98 140.76 154.48
Acacia sclerosperma & Acacia sclerosperma & Acacia ligulata over Triodia Description Mosaic: low woodland; Allocasuarina low woodland; Mosaic: & jam around granite rocks huegeliana mulga ( Acacia aneura ) woodland; Low Low forest; mangroves (Kimberley) or forest; Low mangroves (Pilbara) thicket; Hummock grasslands, shrubHummock grasslands, steppe; plurinervata Bare areas; mud flats Bare areas; drift sand Shrublands; snakewood & Acacia victoriae scrub Shrublands; mulga & bowgada scrub Mosaic: low woodland over scrub;Mosaic: mulga over bowgada scrub/ scrub bowgada & grevillea shrublands; on sandhills Shrublands; bowgada scrub Shrublands; bowgada & grevillea scrub Shrublands; bowgada & grevillea Mosaic: shrublands; Acacia shrublands; Mosaic: sclerosperma & bowgada scrub/ scrub bowgada & grevillea shrublands; Shrublands; minnieritchie scrub Succulent steppe; saltbush Succulent steppe;
Name Mosaic ZZZG Avon Wheatbelt Low woodland A Carnarvon Low Forest B Carnarvon Low Hummock grasslands F Carnarvon Bare Areas C Carnarvon Bare Areas E Carnarvon Shrublands Snakewood A Carnarvon Shrublands Mulga C Carnarvon Mosaic C Carnarvon Shrublands Acacia D Carnarvon Shrublands Bowgada A Carnarvon Mosaic D Carnarvon Shrublands Acacia E Carnarvon Succulent steppe A Carnarvon Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9013041 9020018 9020043 9020112 9020127 9020129 9020160 9020184 9020200 9020205 9020206 9020208 9020209 9020221
South West Australian Ecoregion initiative
116 Target
0.15 0.15 0.2 0.2 0.15 0.2 0.15 0.15 0.2 0.2 0.2 0.2 Urbanisation Urbanisation
0.05 0.05
0.05
0.05 0.05 0.05 0.05 Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
823.68 60.75 80.54 23.96 1081.97 43.97 21.57 144.90 0.68 470.96 293.30 248.12
(sq km) (sq
Veg Remnant 823.68 60.75 80.54 23.96 1081.97 43.97 21.57 144.90 0.68 470.96 293.30 248.12
victoriae scrub Acacia sclerosperma & Acacia sclerosperma, Acacia sclerosperma & victoriae scrub victoriae scrub Description Shrublands; waterwood & Acacia victoriae scrub Mosaic: shrublands; Acacia shrublands; Mosaic: sclerosperma & bowgada scrub/ samphire succulent steppe; Mosaic: shrublands; bowgada and shrublands; Mosaic: associated spp. scrub/shrublands; bowgada & grevillea scrub Succulent steppe with scrub; snakewood over saltbush Shrublands; bowgada & minnieritchie scrub Shrublands; A. Mosaic: shrublands; bowgada & shrublands; Mosaic: minnieritchie scrub/succulent steppe; saltbush & bluebush Hummock grasslands, low tree steppe;Hummock grasslands, dongarraensis & Eucalyptus E. foecunda over Triodia plurinervata Low woodland over scrub; mulga over scrub; woodland over Low bowgada scrub bowgada & A. Shrublands; Mosaic: low woodland; waterwood/ low woodland; Mosaic: Shrublands; bowgada scrub Mosaic: shrublands; bowgada scrub shrublands; Mosaic: and associated spp./shrublands; Acacia sclerosperma , bowgada & A.
Name Shrublands Other C Carnarvon Mosaic F Carnarvon Mosaic G Carnarvon Succulent steppe with scrub B Carnarvon Shrublands Bowgada B Carnarvon Shrublands Acacia G Carnarvon Mosaic H Carnarvon Hummock grasslands H Carnarvon Low woodland O Carnarvon Low Shrublands Acacia I Carnarvon Mosaic P Carnarvon Mosaic Q Carnarvon Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9020224 9020226 9020229 9020242 9020243 9020244 9020245 9020246 9020269 9020283 9020342 9020344
Appendices
117 Target
0.2 0.15 0.2 0.2 0.15 0.15 0.2 0.2 0.2 0.15 0.25 0.25 Urbanisation Urbanisation
0.05
0.05 0.05
0.05 0.05 0.05
0.05 0.05 Salinity Salinity
0.05 0.05 Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
509.02 697.95 794.00 126.91 139.87 169.49 4.26 55.20 130.88 8184.21 69.11 2801.45
(sq km) (sq
Veg Remnant 509.02 697.95 794.00 126.91 139.87 4.26 169.49 55.20 130.88 8183.27 69.11 2754.93
victoriae & victoriae & subtressarogona scrub Acacia ligulata x Acacia sclerosperma, Acacia sclerosperma, A. A. Triodia plurinervata victoriae & snakewood scrub Description Mosaic: shrublands; Acacia shrublands; Mosaic: sclerosperma, A. patchessnakewood scrub/shrublands; of low mixed scrub Mosaic: shrublands; Acacia shrublands; Mosaic: sclerosperma, A. snakewood scrub patches/succulent bluebush steppe; Mosaic: shrublands; bowgada scrub shrublands; Mosaic: with scattered mulga/shrublands; bowgada & grevillea scrub Succulent steppe; samphire Succulent steppe; Shrublands; rostellifera thicket Shrublands; acacia & lamarchea thicket Hummock grasslands, grass steppe;Hummock grasslands, spinifex Bare areas; claypans Shrublands; A. Shrublands; bowgada and associated spp. scrub Mosaic: low woodland; waterwood/ low woodland; Mosaic: shrublands; victoriae & Medium woodland; salmon gum &Medium woodland; gimlet
Name Mosaic R Carnarvon Mosaic S Carnarvon Mosaic T Carnarvon Succulent steppe F Carnarvon Shrublands Acacia Y Carnarvon Shrublands Acacia Z Carnarvon Hummock grasslands S Carnarvon Bare Areas F Carnarvon Shrublands Acacia ZD Carnarvon Shrublands Bowgada Q Carnarvon Mosaic ZZZH Carnarvon Medium woodland E Coolgardie Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9020346 9020347 9020349 9020676 9021101 9021103 9021105 9021271 9021322 9022081 9023432 9030008
South West Australian Ecoregion initiative
118 Target
0.2 0.2 0.2 0.2 0.85 0.15 0.15 0.2 0.2 0.2 0.2 0.85 0.26 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05
0.05 Dieback Dieback
Kwongan
Mallee
0.65
0.65
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
159.74 2405.09 99.17 102.20 329.48 144.63 46.98 8.70 1.39 16.75 2647.53 46.91 90.90
(sq km) (sq
Veg Remnant 159.74 2351.62 99.17 102.20 329.48 144.63 46.98 8.70 1.39 16.75 2647.53 46.72 89.02
Allocasuarina cristata & torquata ) & goldfieldsEucalyptus Description Low woodland; mulga ( Acacia aneura ) woodland; Low Medium woodland; coral gumMedium woodland; ( (also someblackbutt ( E. le soufii ), e10,11) Eucalyptus sp. Low woodland; mulga between woodland; Low sandridges Medium woodland red mallee group Low woodland; Allocasuarina cristata woodland; Low Low woodland; mulga mixed woodland; Low with Low woodland; Allocasuarina woodland; Low & York gum huegeliana Shrublands; thicket, acacia-casuarinaShrublands; thicket, alliance Shrublands; mulga scrub Shrublands; acacia scrub, variousShrublands; acacia scrub, species Hummock grasslands, shrub steppe;Hummock grasslands, Eucalyptus youngiana over hard spinifex Hummock grasslands, shrub steppe;Hummock grasslands, red mallee over spinifex, Triodia scariosa Succulent steppe with open low sheoak over saltbush &woodland; bluebush
Name Medium woodland F Coolgardie Low woodland B Coolgardie Low Medium woodland G Coolgardie Low woodland G Coolgardie Low Low woodland C Coolgardie Low Low woodland A Coolgardie Low Low woodland H Coolgardie Low Shrublands Thicket A Coolgardie Shrublands Mulga A Coolgardie Shrublands Acacia B Coolgardie Hummock grasslands D Coolgardie Hummock grasslands E Coolgardie Succulent steppe with open low woodland C Coolgardie Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9030009 9030019 9030010 9030024 9030020 9030018 9030025 9030036 9030039 9030040 9030109 9030110 9030123
Appendices
119 Target
0.21 0.15 0.9 0.15 0.2 0.2 0.25 0.15 0.2 0.2 0.25 0.15 0.25 Urbanisation Urbanisation
0.05
0.05
0.05 0.05 0.05
0.05 0.05
0.05 Salinity Salinity
0.05
0.05
0.05
0.05
0.05 Dieback Dieback
Kwongan
Mallee
0.65
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
8836.04 1158.10 39.88 311.93 3.20 60.69 156.93 198.04 35.77 51.19 5.13 7385.47 10.59
(sq km) (sq
Veg Remnant 8596.00 1158.10 39.88 308.93 3.20 60.69 156.93 196.32 35.77 51.19 5.13 7305.80 10.59
resinomarginea Acacia neurophylla, beauverdiana & A. Description Medium woodland; York gum, salmon York gum, Medium woodland; gum & gimlet Medium woodland; York gum &Medium woodland; salmon gum Medium woodland; wandoo, salmon wandoo, Medium woodland; gimlet & rough-fruitedgum, morrel, mallee Succulent steppe with scrub; acaciaSucculent steppe with scrub; species over saltbush Medium woodland; gimlet Medium woodland; Shrublands; mulga & Acacia quadrimarginea scrub Mosaic: medium woodland; goldfield medium woodland; Mosaic: eucalypts/succulent steppe with myoporum overopen low woodland; saltbush Succulent steppe; saltbush Succulent steppe; Low woodland; York gum, and cypress York gum, woodland; Low pine (adjacent to e6pMLi) Succulent steppe with open woodland; York gum over saltbush Medium woodland; York gum Medium woodland; Shrublands; A. thicket Shrublands; mixed acacia thickets in thickets of acacia-casuarina-melaleuca alliance
Name Medium woodland I Coolgardie Medium woodland J Coolgardie Medium woodland K Coolgardie Succulent steppe with scrub A Coolgardie Medium woodland L Coolgardie Shrublands Mulga E Coolgardie Mosaic E Coolgardie Succulent steppe A Coolgardie Low woodland M Coolgardie Low Succulent steppe with open woodland A Coolgardie Medium woodland M Coolgardie Shrublands Acacia T Coolgardie Shrublands Mixed B Coolgardie Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9030141 9030142 9030144 9030147 9030148 9030202 9030214 9030221 9030256 9030314 9030352 9030435 9030436
South West Australian Ecoregion initiative
120 Target
0.15 0.2 0.15 0.2 0.85 0.15 0.2 0.85 0.85 0.2 0.85 Urbanisation Urbanisation
0.05
0.05 0.05
0.05 0.05 0.05 0.05 0.05 Salinity Salinity
Dieback Dieback
Kwongan
0.65 Mallee
0.65
0.65 0.65
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
3143.18 22.14 31.58 3.56 2823.79 5881.35 376.85 8096.99 12915.55 11.61 843.64
(sq km) (sq
Veg Remnant 3143.18 22.14 30.99 3.56 2823.79 5800.15 376.85 8096.99 12915.55 11.61 843.64 overAcacia papyrocarpa Triodia scariosa eremophila Eucalyptus Description Shrublands; mixed acacia thicket on sandplain Succulent steppe with open low mulga & sheoak overwoodland; bluebush Succulent steppe; bluebush withSucculent steppe; saltbush in depressions Succulent steppe with open low woodland; bluebush Mosaic: medium woodland; salmon medium woodland; Mosaic: gum & gimlet/hummock grasslands, red mallee overmallee steppe; spinifex, Medium woodland; salmon gum &Medium woodland; blackbutt goldfields Succulent steppe with open low mulga & sheoak overwoodland; saltbush Mosaic: medium woodland; salmon medium woodland; Mosaic: gum & red mallee/hummock red malleegrasslands, mallee steppe; spinifex, Triodia scariosa over Medium woodland; merrit & redMedium woodland; mallee Shrublands; jam thicket Mosaic: medium woodland; salmon medium woodland; Mosaic: malleegum & red mallee/shrublands; scrub
Name Shrublands Mixed C Coolgardie Succulent steppe with open low woodland F Coolgardie Succulent steppe E Coolgardie Succulent steppe with open low woodland G Coolgardie Mosaic Z Coolgardie Medium woodland N Coolgardie Succulent steppe with open low woodland H Coolgardie Mosaic ZA Coolgardie Medium woodland O Coolgardie Shrublands Jam CShrublands Jam Coolgardie Mosaic ZB Coolgardie Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9030437 9030441 9030460 9030461 9030467 9030468 9030480 9030481 9030482 9030484 9030486
Appendices
121 Target
0.8 0.85 0.2 0.2 0.85 0.2 0.8 0.8 0.2 0.15 0.2 0.2 0.25 0.21 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05
0.05
0.05 0.05 0.05 0.05 Salinity Salinity
0.05
Dieback Dieback
Kwongan
0.65
0.65
Mallee
0.65
0.65 0.65
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
4986.11 379.94 786.04 671.68 989.41 439.39 327.95 401.30 78.47 981.87 90.83 186.35 1455.88 4650.22
(sq km) (sq
Veg Remnant 4986.11 379.94 786.04 671.68 989.41 438.06 327.37 401.17 78.47 981.87 90.83 186.35 1455.88 4365.91
Description Medium woodland; redwood & redMedium woodland; mallee ( Eucalyptus oleosa ) Mosaic: medium woodland; gimlet/ medium woodland; Mosaic: Eucalyptus mallee scrub, shrublands; eremophila Mosaic: medium woodland; goldfields medium woodland; Mosaic: blackbutt & Dundas blackbutt/ dodonaea scrub shrublands; Medium woodland; morrel & DundasMedium woodland; blackbutt ( E. dundasii ) Mosaic: medium woodland; merrit medium woodland; Mosaic: dodonaea& red mallee/shrublands; scrub Medium woodland; goldfieldsMedium woodland; blackbutt Medium woodland; goldfieldsMedium woodland; blackbutt & red mallee Low woodland; mulga & red mallee woodland; Low Low woodland; Allocasuarina cristata woodland; Low & eucalypts Succulent steppe with woodland; salmon gum & bluebush Succulent steppe with woodland; salmon gum & saltbush Succulent steppe with open scrub; scattered mulga over saltbush Succulent steppe with woodland; gimlet & saltbush Medium woodland; salmon gum &Medium woodland; morrel
Name Medium woodland P Coolgardie Mosaic ZC Coolgardie Mosaic ZD Coolgardie Medium woodland Q Coolgardie Mosaic ZE Coolgardie Medium woodland T Coolgardie Medium woodland U Coolgardie Low woodland V Coolgardie woodland V Low Low woodland WLow Coolgardie Succulent steppe with woodland B Coolgardie Succulent steppe with woodland C Coolgardie Succulent steppe with open scrub K Coolgardie Succulent steppe with woodland A Coolgardie Medium woodland V Coolgardie Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9030487 9030488 9030489 9030491 9030500 9030501 9030502 9030504 9030505 9030506 9030507 9030508 9030509 9030511
South West Australian Ecoregion initiative
122 Target
0.85 0.9 0.15 0.85 0.2 0.8 0.85 0.25 0.88 0.96 0.32 0.2 0.21 Urbanisation Urbanisation
0.05 0.05
0.05 0.05
0.05 0.05 0.05
0.05 0.05 0.05 Salinity Salinity
0.05
0.05
0.05 0.05
Dieback Dieback
Kwongan
0.65 0.65
Mallee
0.65
0.65 0.65
0.65 0.65
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
158.86 1429.99 371.29 900.20 6896.74 3258.08 2363.85 403.77 243.46 20.07 7.01 1278.05 756.57
(sq km) (sq
Veg Remnant 158.86 1429.99 371.13 900.20 6892.10 3257.90 2363.85 403.77 235.87 17.68 5.40 1249.07 734.76
Acacia brachystachya transcontinentalis ) &Eucalyptus longicornis ) Eucalyptus Description Mosaic: medium woodland; salmon medium woodland; Mosaic: gum & Dundas blackbutt/shrublands; eremophila mallee scrub, Eucalyptus Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, eremophila Shrublands; Acacia quadrimarginea thicket Medium woodland; salmon gum & redMedium woodland; mallee Medium woodland; redwoodMedium woodland; ( ) merrit ( E. floctoniae Medium woodland; Dundas blackbuttMedium woodland; & red mallee Mosaic: medium woodland; salmon medium woodland; Mosaic: gum & gimlet/medium woodland; merrit & red mallee Succulent steppe with open low mulga & sheoak overwoodland; bluebush Medium woodland; rough-fruitedMedium woodland; mallee on greenstone hills Medium woodland; morrell & rough- Medium woodland; fruited mallee ( Eucalyptus corrugata ) Medium woodland; morrelMedium woodland; ( Shrublands; scrub Succulent steppe with open low saltbush sheoak over woodland;
Name Mosaic ZF Coolgardie Shrublands Mallee K Coolgardie Shrublands Acacia V Coolgardie Medium woodland W Coolgardie Medium woodland X Coolgardie Medium woodland Y Coolgardie Mosaic ZH Coolgardie Succulent steppe with open low woodland I Coolgardie Medium woodland Z Coolgardie Medium woodland ZA Coolgardie Medium woodland ZB Coolgardie Shrublands Acacia W Coolgardie Succulent steppe with open low woodland J Coolgardie Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9030513 9030519 9030520 9030521 9030522 9030524 9030525 9030529 9030535 9030536 9030537 9030538 9030540
Appendices
123 Target
0.9 0.23 0.2 0.2 0.85 0.2 0.2 0.85 0.2 1 0.21 0.9 0.38 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05
0.05
0.05
Dieback Dieback
Kwongan
0.65
0.65
0.65
Mallee
0.65
0.65
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
48.90 312.63 60.57 10.17 348.75 1170.74 5867.44 108.22 7.86 37.55 1721.46 92.44 1935.51
(sq km) (sq
Veg Remnant 48.90 267.57 60.57 10.17 347.20 1170.74 5843.05 108.22 7.86 22.52 1624.18 92.44 1018.98
Allocasuarina campestris Casuarina acutivalvus & gonglocarpa ) Eucalypus Description Shrublands; mallee scrub marble gum ( Shrublands; thicket Shrublands; (also melalueca) thicketcalothamnus on greenstone hills Low woodland over scrub; woodland over Low bowgadaAllocasuarina cristata over scrub Hummock grasslands, mallee steppe;Hummock grasslands, Triodiared mallee over spinifex, scariosa Succulent steppe; samphire Succulent steppe; Medium woodland; salmon gum Medium woodland; Mosaic: medium woodland; salmon medium woodland; Mosaic: malleegum & morrel/shrublands; redwood scrub, Medium woodland; wandoo Medium woodland; Shrublands; mallee & casuarina thicket Medium-low woodland; York gum &Medium-low woodland; cypress pine ( Callitris columellaris ) Medium woodland; salmon gum,Medium woodland; morrel, gimlet & rough-fruited mallee Medium woodland; salmon gum,Medium woodland; morrel, gimlet & Eucalyptus sheathiana
Name Shrublands Mallee L Coolgardie Shrublands Allocasuarina A Coolgardie Shrublands Casuarina A Coolgardie Low woodland Y Coolgardie Low Hummock grasslands O Coolgardie Succulent steppe F Coolgardie Medium woodland ZF Coolgardie Mosaic ZM Coolgardie Medium woodland ZH Coolgardie Shrublands Mallee V Coolgardie Medium-Low woodland A Coolgardie Medium woodland ZZG Coolgardie Medium woodland ZZH Coolgardie Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9030542 9030551 9030552 9030554 9030555 9030676 9030936 9030941 9030946 9031024 9031063 9031067 9031068
South West Australian Ecoregion initiative
124 Target
0.15 0.25 0.86 0.2 1 0.26 0.2 0.21 0.85 0.26 0.26 1 0.38 0.26 Urbanisation Urbanisation
0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
Salinity Salinity
0.05
0.05
0.05
0.05 0.05 0.05
0.05 Dieback Dieback
0.05 Kwongan
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
7.62 7.57 2549.49 104.79 0.52 62.96 10593.18 70.58 36.13 360.12 526.61 4.59 17.26 2.21
(sq km) (sq
Veg Remnant 7.62 7.57 2520.99 103.89 0.00 60.47 10403.64 68.78 36.13 344.51 515.79 0.44 6.79 2.09
) Melaleuca thyoides Melaleuca sp. Description Succulent steppe with scrub; acaciaSucculent steppe with scrub; species over saltbush & bluebush Medium woodland; salmon gum,Medium woodland; merrit, gimlet & Eucalyptus redwood, sheathiana Shrublands; scrub-heath in the Coolgardie Region Succulent steppe; bluebush Succulent steppe; Bare areas; claypans Medium woodland; coral gum Medium woodland; Shrublands; acacia, casuarina &Shrublands; acacia, melaleuca thicket Medium woodland; redwood &Medium woodland; blackbutt goldfields Shrublands; scrub-heath in the Mallee Region Mosaic: medium woodland;Mosaic: Allocasuarina cristata & goldfields Acacia shrublands; blackbutt; quadrimarginea thicket Medium woodland; salmon gum &Medium woodland; Dundas blackbutt Medium woodland; salmon gum &Medium woodland; gimlet Low woodland; paperbark woodland; Low ( thicket with scattered York gum Shrublands;
Name Succulent steppe with scrub E Coolgardie Medium woodland ZZK Coolgardie Shrublands Scrub heath K Coolgardie Succulent steppe G Coolgardie Bare Areas F Coolgardie Medium woodland ZZZ Coolgardie Shrublands Acacia ZE Coolgardie Medium woodland ZZZB Coolgardie Shrublands Scrub heath N Coolgardie Mosaic ZZZF Coolgardie Medium woodland ZZZE Coolgardie Medium woodland E Esperance Low woodland I Esperance Low Shrublands Melaeuca A Esperance Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9031071 9031078 9031148 9031241 9031271 9031294 9031413 9032009 9032048 9032901 9033106 9040008 9040027 9040031
Appendices
125 Target
0.3 0.56 0.24 0.33 0.53 1 0.83 0.87 0.23 0.61 0.15 0.26 1 0.26 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05
0.05 Salinity Salinity
0.05
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 Dieback Dieback
0.05
0.05 0.05
0.05
0.05
Kwongan
0.45
0.45
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
24.44 63.07 55.15 5.80 324.53 26.82 228.17 34.83 0.00 296.87 0.00 32.39 4.27 354.89
(sq km) (sq
Veg Remnant 24.44 22.61 45.21 5.32 183.28 3.51 68.69 29.97 0.00 292.97 0.00 31.49 0.77 346.94 Casuarina acutivalvus & quercifolia & Dryandra transcontinentalis ) &Eucalyptus Description Shrublands; thicket, mixed Shrublands; thicket, Shrublands; teatree scrub Shrublands; dwarf scrub on granite (south coast) Sedgeland; reed swamps, occasionallySedgeland; with heath Bare areas; drift sand Medium woodland; York gum &Medium woodland; salmon gum Medium woodland; York gum Medium woodland; Shrublands; acacia scrub-heath (unknown spp.) Medium woodland; salmon gum &Medium woodland; blackbutt goldfields Shrublands; mallee-heath (Nuytsland) Medium woodland; redwoodMedium woodland; ( ) merrit ( E. floctoniae Shrublands; (also melalueca) thicketcalothamnus on greenstone hills Succulent steppe; samphire Succulent steppe; Shrublands; spp. thicket Eucalytpus
Name Shrublands Thicket B Esperance Shrublands Teatree B Esperance Shrublands Other B Esperance Sedgeland A Esperance Bare Areas E Esperance Medium woodland J Esperance Medium woodland M Esperance Shrublands Acacia P Esperance Medium woodland N Esperance Shrublands Mallee F Esperance Medium woodland X Esperance Shrublands Casuarina A Esperance Succulent steppe F Esperance Shrublands Other G Esperance Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9040038 9040041 9040050 9040051 9040129 9040142 9040352 9040423 9040468 9040479 9040522 9040552 9040676 9040691
South West Australian Ecoregion initiative
126 Target
1 0.33 0.61 0.65 1 1 1 1 0.63 0.86 0.3 0.2 0.32 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 Dieback Dieback
0.05
0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Kwongan
0.45 0.45 0.45
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
3.53 41.40 214.99 7.30 410.23 2615.93 216.07 33.59 68.03 80.68 173.43 14.00 123.80
(sq km) (sq
Veg Remnant 0.49 31.63 104.95 2.81 122.47 1111.48 81.40 15.45 32.44 28.25 171.07 14.00 115.87
Description Grasslands, high grass savannaGrasslands, stringybark & woolybuttwoodland; (upland) tall grass & curlyover spinifex Low forest; moort ( Eucalytpus forest; Low platypus ) Medium woodland; yate Medium woodland; Medium woodland; salmon gum Medium woodland; Medium woodland; York gum & yate Medium woodland; Mosaic: shrublands; mallee scrub, shrublands; Mosaic: tallerackblack marlock/shrublands; mallee-heath Mosaic: medium woodland; yate/ medium woodland; Mosaic: black mallee scrub, shrublands; marlock Shrublands; mallee scrub, blackShrublands; mallee scrub, decipiens marlock & Eucalyptus Medium woodland; jarrah & marri Medium woodland; Medium woodland; wandoo & yate Medium woodland; Medium woodland; jarrah, marri & jarrah, Medium woodland; wandoo Low forest; jarrah & Eucalyptus forest; Low decipiens Low woodland; jarrah woodland; Low
Name Grasslands B Esperance Low Forest D Esperance Low Medium woodland ZE Esperance Medium woodland ZF Esperance Medium woodland ZG Esperance Mosaic ZL Esperance Mosaic ZL Mosaic ZN Esperance Shrublands Mallee Q Esperance Medium woodland ZN Esperance Medium woodland ZO Esperance Medium woodland ZP Esperance Low Forest E Esperance Low Low woodland ZALow Esperance Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9040800 9040929 9040931 9040936 9040938 9040940 9040942 9040964 9040965 9040967 9040968 9040970 9040975
Appendices
127 Target
0.32 1 0.49 1 0.33 0.88 0.23 0.2 0.76 0.88 0.76 1 1 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05
Kwongan
0.45
0.45
0.45
0.45 0.45 0.45 0.45
0.45 Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
4.19 1604.26 15.85 301.40 8.95 90.18 3.05 6.79 31.17 2190.41 12.38 392.16 581.96 317.89
(sq km) (sq
Veg Remnant 2.61 704.58 8.15 158.96 8.02 76.95 2.71 6.79 30.61 1862.68 11.34 195.04 63.22 9.51
Eucalyptus incrassata wandoo ) Eucalyptus Description Succulent steppe with low woodland; myoporum over samphire Shrublands; jarrah mallee-heath Low woodland; Eucalyptus decipiens woodland; Low Shrublands; mallee-heath (Stirling Range) Medium woodland; jarrah & wandoo Medium woodland; Shrublands; Albany blackbutt, mallee- Shrublands; Albany blackbutt, heath Medium woodland; small wandooMedium woodland; patches surrounded by other eucalypt 7Mi) e5, woodlands (e2, 5Mi; Medium forest; jarrah & wandooMedium forest; ( Shrublands; mallee scrub, bushy yateShrublands; mallee scrub, & Bald Island marlock mallee-heath Shrublands; Shrublands; scrub-heath in the Mallee Region Shrublands; scrub-heath in the Esperence Plains including Mt Ragged scrub-heath Shrublands; heath with scattered Nuytsia floribunda on sandplain Shrublands; banksia and lambertia scrub-heath in the Esperence Plains Region
Name Succulent steppe with low woodland B Esperance Shrublands Mallee S Esperance Low woodland ZBLow Esperance Shrublands Mallee T Esperance Medium woodland ZT Esperance Shrublands Other I Esperance Medium woodland ZU Esperance Medium forest B Esperance Shrublands Mallee U Esperance Shrublands Other J Esperance Shrublands Scrub heath N Esperance Shrublands Scrub heath P Esperance Shrublands Other O Esperance Shrublands Banksia A Esperance Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9040976 9040980 9040982 9040986 9040987 9040989 9040991 9040992 9040995 9041047 9042048 9044048 9044801 9045048
South West Australian Ecoregion initiative
128 Target
1 0.95 0.64 0.69 0.36 1 0.36 1 0.7 0.58 1 0.47 0.86 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 Dieback Dieback
0.05 0.05
0.05
Kwongan
0.45 0.45
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
1139.94 1346.24 53.95 41.93 540.78 1845.02 1220.27 14.44 397.19 64.74 82.10 3.60 30.64 44.55
(sq km) (sq
Veg Remnant 151.54 1062.59 21.00 15.27 445.96 297.26 844.40 0.14 140.99 27.85 9.10 1.53 30.15 10.73
Acacia rostellifera thicket Melaleuca uncinata ) & wandoo loxophleba Eucalyptus Description Shrublands; banksia scrub-heath on sandplain in the Esperence Plains Region Shrublands; banksia scrub-heath on coastal plain in the Esperence Plains Region Medium woodland; marri & wandoo Medium woodland; Medium woodland; York gumMedium woodland; ( Shrublands; Shrublands; jam scrub with scattered York gum Shrublands; thicket, acacia-casuarinaShrublands; thicket, alliance Shrublands; scrub-heath Shrublands; mixed heath Bare areas; drift sand Medium woodland; York gum &Medium woodland; salmon gum Shrublands; thicket with scattered wandoo & powderbark wandoo Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, dongarrensis Succulent steppe; saltbush & samphire Succulent steppe;
Name Shrublands Banksia B Esperance Shrublands Banksia C Esperance Medium woodland A Geraldton Sandplains Medium woodland D Geraldton Sandplains Shrublands Acacia A Geraldton Sandplains Shrublands Jam AShrublands Jam Geraldton Sandplains Shrublands Thicket A Geraldton Sandplains Shrublands Scrub heath A Geraldton Sandplains Shrublands Mixed A Geraldton Sandplains Bare Areas E Geraldton Sandplains Medium woodland J Geraldton Sandplains Shrublands Melaeuca B Geraldton Sandplains Shrublands Mallee B Geraldton Sandplains Succulent steppe B Geraldton Sandplains Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9046048 9047048 9050004 9050007 9050017 9050035 9050036 9050048 9050049 9050129 9050142 9050254 9050255 9050325
Appendices
129 Target
1 1 1 1 1 0.15 0.15 1 1 1 0.92 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 Dieback Dieback
0.05 Kwongan
0.65
0.65
0.65
0.65 0.65 0.65 Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
84.03 197.27 973.71 1.46 444.18 0.83 9.33 138.31 328.08 820.84 631.00 951.09
(sq km) (sq
Veg Remnant 4.12 40.11 68.44 0.19 104.08 0.83 9.33 108.63 32.00 317.09 614.94 600.41
Eucalyptus Banksia spp, Description Shrublands; mallee & acacia scrub with scattered York gum & red mallee Medium woodland; York gum Medium woodland; Shrublands; mallee & acacia scrub with scattered York gum Shrublands; jam and Acacia rostellifera (+hakea) scrub with scattered York gum Shrublands; acacia & banksia scrub Shrublands; bowgada scrub with scattered mulga Shrublands; bowgada scrub with scattered eucalypts & cypress pine Shrublands; bowgada & jam scrub with scattered York gum & red mallee Low forest; Acacia rostellifera forest; Low Mosaic: shrublands; scrub-heath on shrublands; Mosaic: thicket,deep sandy flats/shrublands; acacia-casuarina alliance Mosaic: shrublands; scrub-heath shrublands; Mosaic: on limestone in the northern Swan illyarrie Region/sparse low woodland; Shrublands; scrub-heath with scattered todtiana & Xylomelum angustifolium on deep sandy flats in the Geraldton Sandplain Region
Name Shrublands Mallee C Geraldton Sandplains Medium woodland M Geraldton Sandplains Shrublands Mallee D Geraldton Sandplains Shrublands Jam BShrublands Jam Geraldton Sandplains Shrublands Acacia J Geraldton Sandplains Shrublands Bowgada F Geraldton Sandplains Shrublands Bowgada I Geraldton Sandplains Shrublands Bowgada J Geraldton Sandplains Low Forest C GeraldtonLow Sandplains Mosaic V Geraldton Sandplains Mosaic W Geraldton Sandplains Shrublands Scrub heath B Geraldton Sandplains Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9050351 9050352 9050353 9050354 9050359 9050360 9050364 9050365 9050371 9050372 9050377 9050378
South West Australian Ecoregion initiative
130 Target
1 1 0.9 1 0.15 0.24 0.47 0.32 0.28 0.8 0.25 0.83 0.32 Urbanisation Urbanisation
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05
0.05
0.05 Salinity Salinity
0.05 0.05 0.05 0.05
0.05 0.05 0.05
0.05
0.05 Dieback Dieback
0.05
Kwongan
0.65 0.65 0.65
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
5477.37 5111.52 53.12 163.77 22.62 82.14 30.63 16.78 50.05 327.27 514.71 115.37 4.98
(sq km) (sq
Veg Remnant 1275.51 3239.09 52.94 22.06 22.62 69.11 16.24 13.30 45.18 327.27 513.64 111.06 3.92
Acacia rostellifera Melaleuca cardiophylla Melaeuca uncinata Melaeuca thyioides Acacia ligulata Acacia sclerosperma, Description Shrublands; scrub-heath on lateritic sandplain in the central Geraldton Sandplain Region Shrublands; scrub-heath on sandplain Shrublands; scrub-heath Shrublands; bowgada & jam scrub with scattered York gum Low woodland; York gum woodland; Low Shrublands; thicket Shrublands; thicket Shrublands; thicket Shrublands; Melaleuca thyoides thicket with scattered Casuarina obesa Mosaic: shrublands; scrub-heath shrublands; Mosaic: on coastal association yellow acacia patchysandplain/shrublands; scrub Shrublands; heath on coastal limestone scrub-heath Shrublands; bowgada & jam scrub Shrublands;
Name Shrublands Scrub heath C Geraldton Sandplains Shrublands Scrub heath D Geraldton Sandplains Shrublands Acacia K Geraldton Sandplains Shrublands Bowgada L Geraldton Sandplains Low woodland R GeraldtonLow Sandplains Shrublands Melaeuca C Geraldton Sandplains Shrublands Melaeuca D Geraldton Sandplains Shrublands Melaeuca E Geraldton Sandplains Shrublands Melaeuca F Geraldton Sandplains Mosaic X Geraldton Sandplains Shrublands Other D Geraldton Sandplains Shrublands Acacia L Geraldton Sandplains Shrublands Acacia M Geraldton Sandplains Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9050379 9050380 9050383 9050385 9050386 9050387 9050391 9050392 9050393 9050401 9050402 9050403 9050405
Appendices
131 Target
0.25 1 1 1 0.35 0.9 0.32 0.22 0.57 0.37 1 0.37 0.27 0.97 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
318.07 3285.27 39.39 17.48 17.09 27.85 59.87 56.36 324.60 39.08 84.54 1.55 20.32 518.51
(sq km) (sq
Veg Remnant 318.07 1495.77 5.20 3.69 12.35 27.85 47.09 50.27 141.43 26.28 15.19 0.82 18.53 133.84
& Acacia neurophylla Acacia rostellifera & Acacia ligulata open Allocasuarina campestris . thicket sp . ) over samphire Melaleuca thyioides camaldulensis ) Eucalyptus Description Low woodland over scrub; woodland over Low over jamAllocasuarina heugeliana scrub Shrublands; scrub-heath on coastal association, yellow sandplain Succulent steppe with scrub; teatreeSucculent steppe with scrub; ( A. Shrublands; Shrublands; bowgada & jam scrub Shrublands; York gum mallee scrub Shrublands; Acacia rostellifera open scrub Shrublands; Melaleuca cardiophylla thicket Mosaic: shrublands; Acacia shrublands; Mosaic: rostellifera & Melaleuca cardiophylla illyarrie thicket/sparse low woodland; Shrublands; scrub Shrublands; thicket Medium woodland; river gum river Medium woodland; ( Succulent steppe with woodland and York gum over Melaleucathicket; & samphire thyoides Shrublands; mixed thicket (melaluca & hakea)
Name Low woodland S GeraldtonLow Sandplains Shrublands Scrub heath F Geraldton Sandplains Succulent steppe with scrub D Geraldton Sandplains Shrublands Acacia O Geraldton Sandplains Shrublands Bowgada O Geraldton Sandplains Shrublands York Gum A Geraldton Sandplains Shrublands Acacia Q Geraldton Sandplains Shrublands Acacia R Geraldton Sandplains Mosaic Y Geraldton Sandplains Shrublands Acacia U Geraldton Sandplains Shrublands Allocasuarina A Geraldton Sandplains Medium woodland ZC Geraldton Sandplains Succulent steppe with woodland D Geraldton Sandplains Shrublands Mixed D GeraldtonSandPlains Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9050407 9050408 9050412 9050413 9050420 9050424 9050431 9050432 9050433 9050440 9050551 9050619 9050631 9050675
South West Australian Ecoregion initiative
132 Target
0.79 1 0.39 1 0.17 0.21 1 0.93 0.25 0.54 0.27 Urbanisation Urbanisation
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
143.51 1737.44 3.96 674.08 3.42 48.08 9.18 29.80 8.86 9.59 114.01
(sq km) (sq
Veg Remnant 45.45 555.78 2.51 339.42 2.94 45.70 1.67 8.01 8.85 4.44 105.66
Acacia lasiocarpa cyclops (in the south) & Melaleuca thyoides Acacia lasiocarpa & Melaleuca acerosa heath Description & York gum heugeliana Shrublands; bowgada & jam scrub with scattered Allocasuarina Shrublands; scrub-heath on yellow sandplain banksia-xylomelum alliance in the Geraldton Sandplain & Avon Wheatbelt Regions Shrublands; casuarina & dryandra thicket with wandoo & powderbark wandoo Shrublands; scrub-heath on lateritic sandplain in the southern Geraldton Sandplain Region Shrublands; thicket with scattered river gum Shrublands; Melaleuca acerosa heath Medium woodland; salmon gum Medium woodland; Medium woodland; wandoo Medium woodland; Succulent steppe with thicket; over samphire Melaleuca thyoides Medium woodland; marri Medium woodland; Mosaic: shrublands; Acacia shrublands; Mosaic: rostellifera, A. (in the north)Melaleuca cardiophylla thicket/shrublands; &
Name Shrublands Bowgada P Geraldton Sandplains Shrublands Scrub heath G Geraldton Sandplains Shrublands Casuarina C Geraldton Sandplains Shrublands Scrub heath H GeraldtonSandPlains Shrublands Melaeuca G Geraldton Sandplains Shrublands Acacia X Geraldton Sandplains Medium woodland ZF Geraldton Sandplains Medium woodland ZH Geraldton Sandplains Succulent steppe with thicket B Geraldton Sandplains Medium woodland ZX Geraldton Sandplains Mosaic ZZE Geraldton Sandplains Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9050687 9050694 9050696 9050697 9050748 9050772 9050936 9050946 9050988 9050999 9051026
Appendices
133 Target
1 0.25 1 0.32 0.4 1 0.2 0.77 0.5 0.83 1 0.15 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05
Salinity Salinity
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05
Dieback Dieback
0.05
Kwongan
0.65
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
25.91 22.94 2420.61 83.17 17.63 16.42 23.83 6.33 109.56 34.15 70.66 331.55
(sq km) (sq
Veg Remnant 20.31 22.68 838.70 65.93 11.05 0.91 23.42 2.07 55.29 10.27 8.37 331.55
Acacia ligulata & thicket Description Shrublands; scrub-heath dryandra- calothamnus association with banksia prionotes on limestone in the northern Swan Region Low woodland; Banksia attenuata & woodland; Low B. menziesii Mosaic: shrublands; hakea scrub- shrublands; Mosaic: dryandra heath heath/shrublands; Mosaic: medium woodland;Mosaic: powderbark/ marri,wandoo, dryandra heath shrublands; Medium woodland; marri, wandoo & marri, Medium woodland; powderbark Mosaic: medium open woodland;Mosaic: dryandra heath marri/shrublands; Medium woodland; York gum & riverMedium woodland; gum (incl e6,18Mr) Mosaic: medium woodland; York gum medium woodland; Mosaic: & salmon gum/shrublands; Melaleuca thyioides Shrublands; jam, Acacia rostellifera & thicket Melaleuca megacephala Shrublands; Melaueca uncinata dominated thicket on dark brown loamy soil Shrublands; scrub-heath acacia- ecdeiocolia association in the south- east Geraldton Sandplain Region Low woodland; mulga ( Acacia woodland; Low aneura )
Name Shrublands Scrub heath I Geraldton Sandplains Low woodland ZDLow Geraldton Sandplains Mosaic ZZG Geraldton Sandplains Mosaic ZZH Geraldton Sandplains Medium woodland ZZC Geraldton Sandplains Mosaic ZZI Geraldton Sandplains Medium woodland ZZD Geraldton Sandplains Mosaic ZZK Geraldton Sandplains Shrublands Jam DShrublands Jam Geraldton Sandplains Shrublands Acacia ZB Geraldton Sandplains Shrublands Scrub heath L Geraldton Sandplains Low woodland A GreatLow Desert Victorian Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9051029 9051030 9051031 9051032 9051034 9051035 9051037 9051044 9051141 9051142 9051149 9060018
South West Australian Ecoregion initiative
134 Target
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.2 0.23 0.2 Urbanisation Urbanisation
0.05 0.05 0.05 Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
50.21 70.81 7523.47 6077.40 2420.22 143.46 24.44 85.87 1710.86 2515.40 12.84 3545.70
(sq km) (sq
Veg Remnant 50.21 70.81 7523.47 6077.40 2420.22 143.46 24.44 85.87 1687.97 2515.40 11.11 3545.70 . sp Eucalyptus & cristata overAcacia papyrocarpa Triodia basedowii between youngiana ) over hardEucalyptus youngiana ) over hardEucalyptus socialis ) Eucalyptus Description Allocasuarina Low woodland; mulga between woodland; Low sandridges Hummock grasslands, open low treeHummock grasslands, marble gum & mallee& mallee steppe; ( spinifex sandhills Low woodland; mulga mixed with woodland; Low Hummock grasslands, open low treeHummock grasslands, marble gum & mallee& mallee steppe; ( spinifex on sandplain Hummock grasslands, shrub steppe;Hummock grasslands, youngiana over hardEucalyptus spinifex Succulent steppe with open low mulga over saltbush woodland; Succulent steppe; samphire Succulent steppe; Medium woodland; salmon gum Medium woodland; Shrublands; mallee & acacia scrub onShrublands; south coastal dunes Succulent steppe with open low woodland; saltbush & bluebush Bare areas; drift sand Shrublands; mallee scrub, blue mallee mallee scrub, Shrublands; (
Name Low woodland B GreatLow Desert Victorian Hummock grasslands A Desert Great Victorian Low woodland C GreatLow Desert Victorian Hummock grasslands B Desert Great Victorian Hummock grasslands D Desert Great Victorian Succulent steppe with open low woodland D Great Desert Victorian Succulent steppe F Great Desert Victorian Medium woodland ZF Great Desert Victorian Shrublands Mallee A Hampton Succulent steppe with open low woodland B Hampton Bare Areas E Hampton Shrublands Mallee I Hampton Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9060019 9060084 9060020 9060085 9060109 9060389 9060676 9060936 9070042 9070122 9070129 9070515
Appendices
135 Target
0.2 0.3 0.43 0.99 0.52 1 0.15 0.39 0.3 0.27 0.38 0.36 1 1 0.39 0.73 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05
0.05
0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
0.05 0.05 0.05 0.05
0.05
0.05 0.05 0.05 0.05
0.05 0.05 Kwongan
0.45 0.45
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
2593.88 28.58 23868.48 10315.90 337.80 319.83 1.54 892.89 1.16 27.48 489.54 22.16 31.37 117.21 18.59 199.59
(sq km) (sq
Veg Remnant 2591.04 23.91 16644.62 3132.39 193.32 77.18 1.54 689.59 0.77 25.91 383.01 18.71 8.69 52.87 14.20 81.76
) ) & wandoo loxophleba Eucalyptus Melaleuca sp. Description Shrublands; mallee scrub ( Eucalyptus gracilis ) Tall forest karri Medium forest; jarrah-marri Medium forest; Medium woodland; marri & wandoo Medium woodland; Medium woodland; wandoo &Medium woodland; powderbark ( Eucalytpus accedens ) Medium woodland; York gumMedium woodland; ( Medium open woodland; wandoo Medium open woodland; Low forest; jarrah forest; Low Low woodland; Agonis flexuosa woodland; Low Low woodland; jarrah-banksia woodland; Low Low woodland; paperbark woodland; Low ( Shrublands; teatree thicket Shrublands; tallerack mallee-heath Shrublands; scrub-heath Shrublands; mixed heath Sedgeland; reed swamps, occasionallySedgeland; with heath
Name Shrublands Mallee Z Hampton Tall forest A Jarrah Forest Medium forest A Jarrah Forest Medium woodland A Jarrah Forest Medium woodland B Jarrah Forest Medium woodland D Jarrah Forest Medium open woodland A Jarrah Forest Low Forest A Jarrah Forest Forest A Jarrah Low Low woodland E JarrahLow Forest Low woodland F JarrahLow Forest Low woodland I JarrahLow Forest Shrublands Teatree A Jarrah Forest Shrublands Other A Jarrah Forest Shrublands Scrub heath A Jarrah Forest Shrublands Mixed A Jarrah Forest Sedgeland A Jarrah Forest Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9071515 9080001 9080003 9080004 9080005 9080007 9080013 9080014 9080022 9080023 9080027 9080037 9080047 9080048 9080049 9080051
South West Australian Ecoregion initiative
136 Target
0.65 1 0.82 1 0.61 0.51 0.55 0.42 0.65 0.86 0.68 0.29 1 0.59 1 Urbanisation Urbanisation
0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 Dieback Dieback
0.05
0.05
0.05
0.05
0.05 0.05 0.05 0.05 Kwongan
0.45 0.45
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
4.28 311.14 32.53 143.56 1.15 3.07 10.67 61.38 13.32 4.15 20.53 6.78 142.49 1411.06 80.00
(sq km) (sq
Veg Remnant 1.64 70.18 29.84 38.46 0.47 1.20 4.81 43.34 5.15 1.21 7.54 4.60 39.93 723.44 15.41 ) Melaleuca spp. Description Bare areas; drift sand Medium woodland; York gum Medium woodland; Shrublands; acacia scrub-heath (unknown spp.) Shrublands; scrub-heath on lateritic sandplain in the southern Geraldton Sandplain Region Medium woodland; yate Medium woodland; Medium woodland; salmon gum Medium woodland; Medium woodland; York gum & yate Medium woodland; Medium woodland; wandoo Medium woodland; Low woodland; banksia woodland; Low Shrublands; dryandra heath Medium woodland; yate & paperbarkMedium woodland; ( Medium woodland; jarrah & marri Medium woodland; Medium woodland; wandoo & yate Medium woodland; Medium woodland; jarrah, marri & jarrah, Medium woodland; wandoo Mosaic: medium forest; jarrah-marri/ medium forest; Mosaic: jarrah low forest;
Name Bare Areas E Jarrah Forest Medium woodland M Jarrah Forest Shrublands Acacia P Jarrah Forest Shrublands Scrub heath H Jarrah Forest Medium woodland ZE Jarrah Forest Medium woodland ZF Jarrah Forest Medium woodland ZG Jarrah Forest Medium woodland ZH Jarrah Forest Low woodland Z JarrahLow Forest Shrublands Other H Jarrah Forest Medium woodland ZM Jarrah Forest Medium woodland ZN Jarrah Forest Medium woodland ZO Jarrah Forest Medium woodland ZP Jarrah Forest Mosaic ZR Jarrah Forest Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9080129 9080352 9080423 9080697 9080931 9080936 9080938 9080946 9080949 9080952 9080963 9080965 9080967 9080968 9080969
Appendices
137 Target
1 0.75 0.46 0.33 0.38 1 0.76 0.86 1 0.31 0.96 1 0.91 0.4 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05
0.05 0.05
Dieback Dieback
0.05 0.05 0.05
0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 Kwongan
0.45
0.45
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
3.30 232.94 24.44 20.51 2.64 77.23 530.36 17.27 25.83 3.77 169.55 1213.70 115.31 48.17
(sq km) (sq
Veg Remnant 2.06 93.62 15.80 18.47 1.40 14.81 210.66 15.09 5.86 3.04 52.77 321.47 31.55 29.91
Allocasuarina fraseriana ) Allocasuarina fraseriana ) wandoo ) Eucalyptus Description Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, decipiens Medium woodland; jarrah, marri, jarrah, Medium woodland; wandoo & yate Low forest; paperbark ( Melaleuca forest; Low ) rhaphiophylla Low woodland; jarrah woodland; Low Low forest; teatree & casuarina forest; Low Low forest; jarrah, Eucalyptus staeri & jarrah, forest; Low Allocasuarina fraseriana Shrublands; jarrah mallee-heath Mosaic: medium forest; jarrah- medium forest; Mosaic: jarrah & casuarinamarri/low forest; (probably Medium woodland; jarrah & wandoo Medium woodland; Low forest: peppermint ( Agonis forest: Low ) flexuosa Medium forest; jarrah & wandooMedium forest; ( Medium woodland; marri Medium woodland; Low forest; jarrah & casuarina forest; Low (probably Mosaic medium forest jarrah-marri and low woodland banksia forest teatree
Name Shrublands Mallee R Jarrah Forest Medium woodland ZQ Jarrah Forest Low Forest F Jarrah Low Low woodland ZA JarrahLow Forest Low Forest G Jarrah Forest Forest G Jarrah Low Low Forest H Jarrah Low Shrublands Mallee S Jarrah Forest Mosaic ZS Jarrah Forest Medium woodland ZT Jarrah Forest Low Forest I Jarrah Low Medium forest B Jarrah Forest Medium woodland ZX Jarrah Forest Low Forest J Jarrah Low Mosaic ZU Jarrah Forest Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9080971 9080972 9080973 9080975 9080977 9080978 9080980 9080979 9080987 9080990 9080992 9080999 9080994 9081000
South West Australian Ecoregion initiative
138 Target
0.25 0.66 0.25 0.37 0.57 0.32 1 0.24 0.88 0.82 1 1 0.54 0.25 Urbanisation Urbanisation
0.05 0.05 0.05
0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05
0.05
0.05 0.05 0.05 0.05 0.05
Dieback Dieback
0.05 0.05
0.05 0.05
0.05 Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
128.73 201.09 16.58 2.56 449.08 116.46 148.18 0.60 4.56 50.95 4.22 44.93 11.48 5.36
(sq km) (sq
Veg Remnant 128.63 92.07 16.36 1.39 236.53 90.65 35.23 0.38 1.29 15.52 0.08 10.70 5.36 5.28
Description Medium open woodland jarrah Medium forest jarrah, marri & wandoo Mosaic medium open woodland, wandoo & shrublands, mixed heath Low woodland Allocasuarina Low huegeliana Medium woodland jarrah, wandoo &Medium woodland jarrah, powderbark Medium open woodland; jarrah &Medium open woodland; banksia with low woodland; marri, Medium woodland; York gum,Medium woodland; wandoo & salmon gum (Eucalyptus salmonophloia) Medium woodland; marri, wandoo & marri, Medium woodland; powderbark Low woodland; banksia prionotes woodland; Low Mosaic: medium open woodland;Mosaic: wandoo & powderbark wandoo/ dryandra heath shrublands; Shrublands; teatree thicket with scattered wandoo & yate Medium woodland; wandoo & mallet Medium woodland; Medium woodland; jarrah & river gum Medium woodland; Shrublands; peppermint scrub, AgonisShrublands; peppermint scrub, flexuosa
Name Medium open woodland B Jarrah Forest Medium forest C Jarrah Forest Mosaic ZV Jarrah Forest Mosaic ZV Low woodland ZC JarrahLow Forest Medium woodland ZY Jarrah Forest Medium open woodland G Jarrah Forest Medium woodland ZZA Jarrah Forest Medium woodland ZZC Jarrah Forest Low woodland ZE JarrahLow Forest Mosaic ZZJ Jarrah Forest Shrublands Teatree C Jarrah Forest Medium woodland ZZI Jarrah Forest Medium woodland ZZJ Jarrah Forest Shrublands Other K Jarrah Forest Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9081002 9081003 9081004 9081005 9081006 9081017 9081023 9081034 9081036 9081043 9081051 9081073 9081077 9081109
Appendices
139 Target
0.54 0.45 0.26 0.38 0.25 0.15 0.15 0.2 0.26 0.55 0.33 0.29 0.57 0.27 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05
0.05
Dieback Dieback
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
1.61 198.36 1.52 232.16 0.15 2.18 2.37 2.18 19.11 110.23 70.79 90.62 635.62 151.69
(sq km) (sq
Veg Remnant 0.75 131.23 1.45 184.40 0.15 2.18 2.37 2.18 18.06 50.41 53.78 77.36 276.83 138.99
quadrifidis Calothamnus rudis & Agonis Eucalyptus Melaleuca rhaphiophylla Description occidentalis ) Medium woodland; yate ( Eucalyptus Medium woodland; Shrublands tree-heath; paperbark overShrublands tree-heath; teatree thickets Medium forest; marri Medium forest; Medium woodland; jarrah (southMedium woodland; coast) Tall forest; karri & marri ( Corymbia Tall forest; ) calophylla Medium forest; jarrah & red tingle Medium forest; Medium forest; jarrah & Rate’s tingle Medium forest; Tall forest; jarrah & marri Tall forest; Shrublands; (Cape Naturaliste) & Hakea trifircata Medium woodland, jarrah &Medium woodland, (Whicher haematoxylon Eucalyptus Range) rudis Eucalyptus Medium woodland; & blackbutt with some bullich, jarrah & marri (fringing Blackwood River) rudis Eucalyptus Medium woodland; & Medium woodland-fringing; jarrah, marri, flexuosa Medium woodland; jarrah, marri & jarrah, Medium woodland; blackbutt
Name Medium woodland ZZR Jarrah Forest Shrublands tree heath B Jarrah Forest Medium forest I Jarrah Forest Medium woodland ZZT Jarrah Forest Tall forest F Jarrah Forest Medium forest F Jarrah Forest Medium forest G Jarrah Forest Tall forest H Jarrah Forest Shrublands Other M Jarrah Forest Medium woodland ZZV Jarrah Forest Medium woodland ZZX Jarrah Forest Medium woodland ZZW Jarrah Forest Medium woodland-fringing A Jarrah Forest Medium woodland ZZY Jarrah Forest Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9081111 9081114 9081132 9081134 9081144 9081151 9081153 9081157 9081180 9081181 9081183 9081182 9081184 9081185
South West Australian Ecoregion initiative
140 Target
0.41 0.49 0.63 0.72 0.71 0.54 0.45 0.36 0.74 1 0.47 1 1 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05
0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05
0.05 Dieback Dieback
0.05 0.05
Kwongan
0.45
0.45 Mallee
0.45
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
107.43 664.52 3.43 562.06 457.57 1.06 0.84 27.66 188.20 6.53 8.23 0.25 0.37 1121.75
(sq km) (sq
Veg Remnant 77.90 406.97 1.36 193.86 448.74 0.49 0.37 19.22 63.37 2.73 3.54 0.02 0.02 88.35
) ) & wandoo loxophleba Eucalyptus Melaleuca sp. Description Sedgeland; sedges with low treeSedgeland; paperbarks over &savanna woodland; various sedges Medium forest; jarrah & marri onMedium forest; laterite with wandoo in valleys, sandy swamps with teatree and banksia Medium woodland; York gumMedium woodland; ( Medium woodland; salmon gum &Medium woodland; gimlet Medium woodland red mallee group Low woodland; Allocasuarina woodland; Low huegeliana & York gum Low woodland; paperbark woodland; Low ( Shrublands; teatree thicket Shrublands; teatree scrub Shrublands; scrub-heath Sedgeland; reed swamps, occasionallySedgeland; with heath Grasslands, high grass savannaGrasslands, bauhinia & coolabah oversparse tree; blue & tall upland grasses Mitchell, Bare areas; drift sand Mosaic: medium woodland; salmon medium woodland; Mosaic: malleegum & gimlet/shrublands; redwood & black marlock scrub,
Name Sedgeland B Jarrah Forest Medium forest H Jarrah Forest Medium woodland D Mallee Medium woodland E Mallee Medium woodland G Mallee Low woodland H Mallee Low Low woodland I Mallee Low Shrublands Teatree A Mallee Shrublands Teatree B Mallee Shrublands Scrub heath A Mallee Sedgeland A Mallee Grasslands A Mallee Bare Areas E Mallee Mosaic A Mallee Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9082051 9083003 9090007 9090008 9090010 9090025 9090027 9090037 9090041 9090048 9090051 9090059 9090129 9090131
Appendices
141 Target
1 1 0.15 1 1 0.2 0.61 0.2 0.15 0.15 0.71 1 0.65 0.65 0.7 Urbanisation Urbanisation
0.05 0.05
0.05 0.05
0.05
0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05
0.05 0.05 0.05
0.05 0.05
0.05 Dieback Dieback
Kwongan
0.45
0.45
0.45 0.45 0.45 0.45 Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
1.91 122.73 3.39 29.76 343.62 13.51 274.52 25.75 3.23 32.49 1387.38 2378.86 1439.83 3715.29 6586.25
(sq km) (sq
Veg Remnant 0.36 12.99 3.39 5.58 143.49 13.51 270.27 25.75 3.23 32.49 486.79 620.01 1439.83 3705.92 6586.25
) & Acacia neurophylla species thicket sp. Eucalyptus E. forrestianna ) socialis ) Eucalyptus Description Medium woodland; York gum, salmon York gum, Medium woodland; gum & gimlet Medium woodland; York gum &Medium woodland; salmon gum Succulent steppe; saltbush Succulent steppe; Medium woodland; York gum Medium woodland; Shrublands; scrub-heath on sandplain A. Shrublands; Shrublands; mallee-heath (Nuytsland) Medium woodland; salmon gumMedium woodland; mixed with merrit & desert bloodwood ( Succulent steppe with woodland; salmon gum & saltbush Shrublands; Mt Ragged heath Medium woodland; salmon gum &Medium woodland; morrel Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, & Forrest’s marlockeremophila ( Shrublands; mallee scrub, whiteShrublands; mallee scrub, mallee ( Eucalyptus cooperiana ) Shrublands; mallee scrub, blue malleeShrublands; mallee scrub, ( Mosaic: medium woodland; merrit & medium woodland; Mosaic: mallee scrub,coral gum/shrublands; eremophila Eucalyptus
Name Medium woodland I Mallee Medium woodland J Mallee Succulent steppe A Mallee Medium woodland M Mallee Shrublands Scrub heath D Mallee Shrublands Acacia O Mallee Shrublands Mallee F Medium woodland S Mallee Succulent steppe with woodland C Mallee Shrublands Other F Mallee Medium woodland V Mallee Medium woodland V Shrublands Mallee G Shrublands Mallee H Shrublands Mallee I Mosaic ZG Mallee Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9090141 9090142 9090221 9090352 9090380 9090413 9090479 9090494 9090507 9090510 9090511 9090512 9090514 9090515 9090518
South West Australian Ecoregion initiative
142 Target
0.65 0.25 0.65 0.43 0.29 0.82 1 0.95 0.35 0.66 0.32 1 1 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 Salinity Salinity
0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 Dieback Dieback
Kwongan
0.45 0.45
0.45 Mallee
0.45
0.45
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
203.27 200.41 217.58 5.21 131.49 20.16 1077.70 51.53 65.95 82.12 772.72 354.61 1.20 234.25
(sq km) (sq
Veg Remnant 203.26 200.41 217.58 2.42 113.15 6.16 600.56 37.81 47.14 31.15 595.90 59.98 0.06 36.94
Allocasuarina campestris Casuarina acutivalvus & transcontinentalis ) &Eucalyptus Description Medium woodland; salmon gum & redMedium woodland; mallee Medium woodland; redwoodMedium woodland; ( ) merrit ( E. floctoniae Medium woodland; Dundas blackbuttMedium woodland; & red mallee Shrublands; thicket Shrublands; (also melalueca) thicketcalothamnus on greenstone hills Succulent steppe; samphire Succulent steppe; Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, & red mallee eremophila Shrublands; mallee scrub, red mallee Shrublands; mallee scrub, Low forest; moort ( Eucalytpus forest; Low platypus ) Medium woodland; yate Medium woodland; Medium woodland; salmon gum Medium woodland; Medium woodland; York gum & yate Medium woodland; Succulent steppe with woodland; YorkSucculent steppe with woodland; gum, sparse teatree scrub & samphire Mosaic: medium woodland; salmon medium woodland; Mosaic: malleegum & morrel/shrublands; redwood scrub,
Name Medium woodland W Mallee Medium woodland X Mallee Medium woodland Y Mallee Shrublands Allocasuarina A Mallee Shrublands Casuarina A Mallee Succulent steppe F Mallee Shrublands Mallee M Shrublands Mallee N Low Forest D Mallee Low Medium woodland ZE Mallee Medium woodland ZF Mallee Medium woodland ZG Mallee Succulent steppe with woodland E Mallee Mosaic ZM Mallee Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9090521 9090522 9090524 9090551 9090552 9090676 9090924 9090925 9090929 9090931 9090936 9090938 9090939 9090941
Appendices
143 Target
1 1 1 1 0.66 1 1 1 1 1 1 0.67 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.45 0.45
0.45
0.45 0.45
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
118.39 1411.12 75.66 181.82 82.39 2118.34 261.38 70.87 38.01 72.18 105.31 21.19
(sq km) (sq
Veg Remnant 23.63 202.79 18.48 22.89 31.01 264.17 45.18 14.23 8.43 8.66 13.21 7.92 Description Mosaic: medium woodland; yate/ medium woodland; Mosaic: black mallee scrub, shrublands; marlock Mosaic: medium woodland; salmon medium woodland; Mosaic: mallee scrub,gum/shrublands; redwood & black marlock Succulent steppe with thicket; teatreeSucculent steppe with thicket; samphire (m5) over Mosaic: shrublands; scrub-heath shrublands; Mosaic: (South East Avon)/shrublands; Allocasuarina campestris thicket Succulent steppe with sparse woodland & thicket; yorrell Kondinin blackbutt over teatree & samphire Shrublands; mallee scrub, redwood &Shrublands; mallee scrub, black marlock Mosaic: shrublands; scrub-heath shrublands; Mosaic: (South East Avon)/shrublands; Allocasuarina campestris thicket Succulent steppe with sparse woodland & thicket; salmon gum morrell over teatree & samphire Medium woodland; wandoo & yate Medium woodland; Medium woodland; York gum, salmon York gum, Medium woodland; gum & morrel Medium woodland; wandoo,York gum wandoo,York Medium woodland; & yate Medium woodland; York gum &Medium woodland; Allocasuarina huegeliana
Name Mosaic ZN Mallee Mosaic ZO Mallee Succulent steppe with thicket A Mallee Mosaic ZP Mallee Succulent steppe with sparse woodland and thicket B Mallee Shrublands Mallee P Mosaic ZQ Mallee Succulent steppe with sparse woodland and thicket C Mallee Medium woodland ZO Mallee Medium woodland ZR Mallee Medium woodland ZS Mallee Medium woodland ZV Mallee Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9090942 9090945 9090953 9090955 9090959 9090960 9090961 9090966 9090967 9090974 9090981 9090993
South West Australian Ecoregion initiative
144 Target
1 1 1 1 0.6 0.41 1 1 0.99 0.69 0.73 Urbanisation Urbanisation
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
Kwongan
0.45 0.45 0.45
0.45
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
5.31 613.35 9.32 5180.82 0.11 101.19 10.82 652.22 15.67 3.56 136.69
(sq km) (sq
Veg Remnant 0.87 44.80 3.58 785.88 0.11 61.43 0.15 61.74 3.97 1.29 47.07
) dichromophloia Eucalyptus incrassata eremophila & Eucalyptus eremophila & blackEucalyptus redunca ) Eucalyptus Description huegeliana Low woodland Allocasuarina Low Medium woodland; York gum,Medium woodland; wandoo & salmon gum ( Eucalyptus ) salmonophloia mallee-heath Shrublands; Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, & black marlockeremophila ( Mosaic: medium woodland; salmon medium woodland; Mosaic: malleegum & morrel/shrublands; scrub bloodwood ( E. Mosaic: medium open woodland;Mosaic: salmon gum & morrel/succulent saltbush steppe; Succulent steppe with open woodland eucalypts & Allocasuarina & thicket; obesa over teatree & samphire Mosaic: medium woodland; York gum medium woodland; Mosaic: & salmon gum/shrublands; mallee scrub marlock Medium woodland; York gum, yate & York gum, Medium woodland; salmon gum Medium woodland; yate & salmonMedium woodland; gum Mosaic: medium sparse woodland;Mosaic: salmon gum & morrel/succulent samphire steppe;
Name Low woodland ZC Mallee Low Medium woodland ZZA Mallee Shrublands Other J Mallee Shrublands Mallee X Mosaic ZZQ Mallee Mosaic ZZR Mallee Succulent steppe with open woodland F Mallee Mosaic ZZS Mallee Medium woodland ZZP Mallee Medium woodland ZZQ Mallee Mosaic ZZT Mallee Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9091005 9091023 9091047 9091075 9091076 9091079 9091093 9091094 9091095 9091096 9091098
Appendices
145 Target
0.2 0.65 0.2 1 1 0.26 1 0.6 1 0.72 1 0.15 0.2 0.15 Urbanisation Urbanisation
0.05 0.05 0.05 0.05
0.05 0.05
0.05 0.05 0.05
0.05
Salinity Salinity
0.05 0.05 0.05 0.05
0.05 0.05 0.05
Dieback Dieback
Kwongan
0.45
0.45
0.45 0.45 0.45 0.45 0.45
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
34335.25 54.35 957.49 1627.86 2.07 423.37 1265.25 32.90 3150.37 109.34 1.41 9.62 653.88 3.93
(sq km) (sq
Veg Remnant 34324.29 54.34 957.49 226.86 0.31 405.77 580.69 32.90 1509.04 105.65 0.31 9.62 647.57 3.93
redunca ) eremophila & blackEucalyptus ) microtheca Eucalyptus Description Low woodland; mulga ( Acacia aneura ) woodland; Low Shrublands; scrub-heath in the Coolgardie Region Low woodland; mulga between woodland; Low sandridges Mosaic: medium woodland; salmon medium woodland; Mosaic: malleegum & morrel/shrublands; scrub, marlock ( E. Bare areas; claypans Shrublands; acacia, casuarina &Shrublands; acacia, melaleuca thicket Shrublands; mallee scrub, blackShrublands; mallee scrub, marlock marlock & Forrest’s Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, & banksia eremophila Shrublands; scrub-heath in the Mallee Region Shrublands; scrub-heath in the Esperence Plains including Mt Ragged scrub-heath Shrublands; banksia scrub-heath on sandplain in the Esperence Plains Region Medium woodland; salmon gum &Medium woodland; gimlet Medium woodland red mallee group Medium woodland; coolabahMedium woodland; (
Name Shrublands Scrub heath K Mallee Low woodland B Murchison Low Mosaic ZZZD Mallee Bare Areas F Mallee Shrublands Acacia ZE Mallee Shrublands Mallee ZA Mallee Shrublands Mallee ZB Mallee Shrublands Scrub heath N Mallee Shrublands Scrub heath P Mallee Shrublands Banksia B Mallee Medium woodland E Murchison Medium woodland G Murchison Medium woodland H Murchison Low woodland A Murchison Low Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9091148 9100019 9091200 9091271 9091413 9091516 9091519 9092048 9094048 9096048 9100008 9100010 9100011 9100018
South West Australian Ecoregion initiative
146 Target
0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.15 0.2 0.2 0.15 0.2 0.15 0.15 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05
0.05
Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
11767.13 170.54 19.55 3917.07 2587.30 451.83 298.60 1519.44 355.78 106.92 27.34 201.93 0.68 40.18
(sq km) (sq
Veg Remnant 11741.07 170.35 19.55 3917.07 2584.91 451.83 298.60 1519.44 355.78 106.92 27.34 201.93 0.68 40.18
sp. Eucalyptus Acacia ramulosa ) Description Low woodland; mulga mixed with woodland; Low Allocasuarina cristata & Low woodland; Allocasuarina cristata woodland; Low Open low woodland; mulga Open low woodland; Sparse low woodland; mulga, discontinuous in scattered groups Shrublands; mulga scrub Shrublands; Shrublands; acacia scrub, various acacia scrub, Shrublands; species Hummock grasslands, shrub steppe;Hummock grasslands, mulga and Eucalyptus kingsmillii over hard spinifex Hummock grasslands, shrub steppe;Hummock grasslands, youngiana over hardEucalyptus spinifex Hummock grasslands, shrub steppe;Hummock grasslands, Triodiared mallee over spinifex, scariosa Succulent steppe with open low mulga & sheoak woodland; Medium woodland; York gum, salmon York gum, Medium woodland; gum & gimlet Shrublands; snakewood & Acacia Shrublands; victoriae scrub Shrublands; snakewood scrub Shrublands; Low woodland; mulga & bowgada woodland; Low (
Name Low woodland C Murchison Low Low woodland G Murchison Low Open low woodland B Murchison Sparse low woodland A Murchison Shrublands Mulga A Murchison Shrublands Acacia B Murchison Hummock grasslands C Murchison Hummock grasslands D Murchison Hummock grasslands E Murchison Succulent steppe with open low woodland A Murchison Medium woodland I Murchison Shrublands Snakewood A Murchison Shrublands Snakewood B Murchison Low woodland J Murchison Low Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9100020 9100024 9100028 9100029 9100039 9100040 9100107 9100109 9100110 9100120 9100141 9100160 9100162 9100182
Appendices
147 Target
0.2 0.2 0.15 0.2 0.15 0.15 0.15 0.15 0.2 0.2 0.2 0.2 0.2 Urbanisation Urbanisation
0.05 0.05
0.05
0.05 0.05 0.05 0.05 0.05 Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
342.89 541.03 61.17 216.31 0.94 15.37 34.84 15.10 748.83 1724.22 536.74 88.50 1054.27
(sq km) (sq
Veg Remnant 342.89 541.03 61.17 216.31 0.94 15.37 34.84 15.10 748.83 1723.91 534.59 88.50 1054.27
Acacia sclerosperma & Acacia victoriae & Acacia sclerosperma & Description Succulent steppe with open scrub; scattered mulga & Acacia sclerosperma saltbush & bluebush over Low woodland; mulga, Acacia mulga, woodland; Low victoriae & snakewood Shrublands; Shrublands; bowgada scrub Shrublands; mulga & bowgada scrub Hummock grasslands, shrub steppe;Hummock grasslands, red mallee over hard spinifex Succulent steppe with open scrub; scattered snakewood over various species Succulent steppe; saltbush Succulent steppe; Shrublands; mulga & Acacia sclerosperma scrub Succulent steppe with open scrub; scattered bowgada over saltbush & bluebush Shrublands; mulga & Acacia quadrimarginea scrub Low woodland; mulga & woodland; Low Allocasuarina cristata Succulent steppe with low woodland; snakewood over saltbush & bluebush Mosaic: shrublands; bowgada scrub/ shrublands; Mosaic: saltbush & bluebush succulent steppe;
Name Low woodland K Murchison Low Shrublands Acacia D Murchison Shrublands Mulga C Murchison Hummock grasslands G Murchison Succulent steppe with open scrub A Murchison Succulent steppe A Murchison Shrublands Mulga D Murchison Succulent steppe with open scrub C Murchison Shrublands Mulga E Murchison Low woodland L Murchison woodland L Low Succulent steppe with open scrub B Murchison Succulent steppe with low woodland A Murchison Mosaic J Murchison Mosaic J Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9100183 9100205 9100184 9100207 9100187 9100221 9100188 9100240 9100202 9100251 9100204 9100261 9100266
South West Australian Ecoregion initiative
148 Target
0.21 0.2 0.21 0.2 0.15 0.2 0.2 0.2 0.2 0.2 0.2 0.15 Urbanisation Urbanisation
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05
Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
415.02 156.67 564.89 63.26 11.54 296.90 4917.37 60.93 311.28 19.31 32.35 1.62
(sq km) (sq
Veg Remnant 395.28 156.67 537.29 63.26 11.54 296.90 4917.37 60.93 311.28 19.31 32.35 1.62
Casuarina obesa (salt Acacia sclerosperma & Acacia sclerosperma & Acacia sclerosperma over victoriae over saltbush & bluebush victoriae over bluebush Description Succulent steppe with very open sparse mulga and Acacia very shrubs; sclerosperma over saltbush & bluebush A. Succulent steppe with open scrub; scattered Succulent steppe with open scrub; scattered A. Succulent steppe with open scrub; scattered saltbush & bluebush Succulent steppe; saltbush & samphire Succulent steppe; Low woodland over scrub; mulga over scrub; woodland over Low bowgada scrub Low woodland over scrub; mulga over scrub; woodland over Low bowgada & minnieritchie scrub Mosaic: scattered low trees; mulga/ scattered low trees; Mosaic: sparse saltbush &succulent steppe; bluebush on greenstone Shrublands; mulga, bowgada, Acacia bowgada, mulga, Shrublands; quadrimarginea & minnieritchie scrub Mosaic: low woodland; mulga/ low woodland; Mosaic: saltbush & bluebush succulent steppe; Medium woodland over scrub; coolabah over bowgada Low woodland; Low lake)
Name Succulent steppe with open scrub D Murchison Succulent steppe with open scrub F Murchison Succulent steppe with open scrub E Murchison Succulent steppe B Murchison Low woodland O Murchison Low Low woodland Q Murchison Low Mosaic L Murchison Shrublands Mulga F Murchison Mosaic M Murchison Medium woodland over scrub A Murchison Low woodland P Murchison Low Succulent steppe with very open shrubs A Murchison Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9100267 9100313 9100268 9100325 9100269 9100326 9100288 9100327 9100300 9100305 9100306 9100312
Appendices
149 Target
0.2 0.2 0.15 0.2 0.15 0.2 0.15 0.2 0.2 0.2 0.2 0.2 0.15 Urbanisation Urbanisation
0.05 0.05
0.05
0.05
0.05 0.05 0.05 0.05 0.05
Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
984.04 236.62 12.11 3.45 38.23 111.30 397.83 55.53 2519.68 1024.88 973.32 543.23 318.72
(sq km) (sq
Veg Remnant 236.61 984.01 12.11 3.45 38.23 111.30 397.83 55.53 2513.95 1024.88 965.10 543.23 318.72
Triodia scariosa Triodia basedowii Description Hummock grasslands, mixedHummock grasslands, sugarbrother, bowgada, sandplain; mallee, bowgadaSucculent steppe with scrub; scrub over various species Hummock grasslands, mixedHummock grasslands, sugarbrother, bowgada, sandplain; mallee, Medium woodland; York gum Medium woodland; Shrublands; bowgada & Acacia quadrimarginea on stony ridges Shrublands; bowgada & minnieritchie scrub with scattered mulga Mosaic: shrublands; bowgada & shrublands; Mosaic: minnieritchie scrub with scattered mulga/scattered groups of saltbush/ bluebush Shrublands; bowgada & jam scrub with scattered York gum Succulent steppe with open low mulga over saltbush woodland; Hummock grasslands, mixedHummock grasslands, mallee, heath & bowgada, sandplain; spinifex Succulent steppe with open low mulga over bluebush woodland; Shrublands; bowgada & Acacia murrayana scrub Succulent steppe with open scrub; scattered bowgada & jam over saltbush
Name Hummock grasslands J Murchison Succulent steppe with scrub C Murchison Hummock grasslands I Murchison Medium woodland M Murchison Shrublands Bowgada E Murchison Shrublands Bowgada G Murchison Mosaic U Murchison Shrublands Bowgada L Murchison Succulent steppe with open low woodland D Murchison Hummock grasslands L Murchison Succulent steppe with open low woodland E Murchison Shrublands Bowgada M Murchison Succulent steppe with open scrub G Murchison Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9100339 9100340 9100338 9100352 9100358 9100361 9100362 9100385 9100389 9100395 9100400 9100404 9100411
South West Australian Ecoregion initiative
150 Target
0.2 0.2 0.2 0.15 0.2 0.2 0.15 0.2 0.2 0.2 0.2 0.2 Urbanisation Urbanisation
0.05 0.05 0.05
0.05 0.05
0.05 0.05 0.05 0.05 0.05 Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
632.80 162.62 210.90 43.74 1897.58 116.52 0.05 16.12 38.87 484.14 2052.80 581.94
(sq km) (sq
Veg Remnant 632.80 162.62 210.90 43.74 1897.58 116.52 0.05 16.12 38.75 483.80 2052.48 581.94 Triodia basedowii Description Succulent steppe with open scrub; scattered mulga & other wattles over saltbush & bluebush Low woodland; mulga mixed with woodland; Low cypress pine & York gum Succulent steppe with open scrub; scattered wattles over saltbush Low woodland; mulga, Casuarina mulga, woodland; Low cristata & cypress pine Shrublands; bowgada & jam scrub Shrublands; mixed acacia thicket on sandplain Succulent steppe with open low mulga & sheoak overwoodland; bluebush Succulent steppe; bluebush withSucculent steppe; saltbush in depressions Medium woodland; salmon gum &Medium woodland; blackbutt goldfields Succulent steppe with open low mulga & sheoak over saltwoodland; bush Hummock grasslands, mixedHummock grasslands, sandplain - open mallee over sparse red malleedwarf shrubs with spinifex ; mallee & mixed sparse dwarf shrubs over Shrublands; jam thicket
Name Succulent steppe with open scrub I Murchison Low woodland T Murchison Low Succulent steppe with open scrub J Murchison Low woodland U Murchison Low Shrublands Bowgada O Murchison Shrublands Mixed C Murchison Succulent steppe with open low woodland F Murchison Succulent steppe E Murchison Medium woodland N Murchison Succulent steppe with open low woodland H Murchison Hummock grasslands K Murchison Shrublands Jam CShrublands Jam Murchison Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9100415 9100416 9100417 9100418 9100420 9100437 9100441 9100460 9100468 9100480 9100483 9100484
Appendices
151 Target
0.2 0.2 0.2 0.2 0.15 0.15 0.15 0.2 0.15 0.2 0.2 0.2 Urbanisation Urbanisation
0.05 0.05 0.05 0.05
0.05
0.05 0.05 0.05 Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
2099.87 40.84 134.01 43.27 320.29 7.94 117.12 622.03 205.77 1652.66 192.29 705.22
(sq km) (sq
Veg Remnant 2099.72 40.84 134.01 43.27 320.29 7.94 117.12 622.03 205.77 1652.66 191.12 704.38
Triodia sp. Acacia quadrimarginea Acacia brachystachya Description Hummock grassland, mixed sandplain - scattered low trees over sparse dwarf red mallee overshrubs with spinifex; mixed dwarf shrubs with Triodia basedowii Medium woodland; goldfieldsMedium woodland; blackbutt Medium woodland; goldfieldsMedium woodland; blackbutt & red mallee Low woodland; mulga & red mallee woodland; Low Succulent steppe with open scrub; scattered mulga over saltbush Shrublands; thicket Medium woodland; salmon gum & redMedium woodland; mallee Succulent steppe with open low mulga & sheoak overwoodland; bluebush Hummock grassland, mixed sandplain - sparse low trees over dwarf marble gum &shrubs with spinifex; mixed dwarf shrubs withred mallee, Triodia scariosa & Low woodland; mulga & cypress pine woodland; Low Shrublands; scrub Succulent steppe with open low saltbush sheoak over woodland;
Name Hummock grasslands M Murchison Medium woodland T Murchison Medium woodland U Murchison Low woodland V Murchison woodland V Low Succulent steppe with open scrub K Murchison Shrublands Acacia V Murchison Medium woodland W Murchison Succulent steppe with open low woodland I Murchison Hummock grasslands N Murchison Low woodland X Murchison Low Shrublands Acacia W Murchison Succulent steppe with open low woodland J Murchison Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9100485 9100501 9100502 9100504 9100508 9100520 9100521 9100529 9100532 9100533 9100538 9100540
South West Australian Ecoregion initiative
152 Target
0.2 0.2 0.2 0.2 0.15 0.2 0.2 0.2 0.2 0.2 Urbanisation Urbanisation
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
225.45 579.74 94.22 196.65 642.34 204.83 652.14 548.65 296.56 3006.77
(sq km) (sq
Veg Remnant 225.32 579.74 94.22 196.65 642.34 204.83 652.14 548.65 296.56 3001.72
sp. sp. T. Triodia basedowii kinsmillii ) over hardEucalytpus Description Hummock grasslands, mallee steppe;Hummock grasslands, Triodiared mallee over spinifex, scariosa Succulent steppe; samphire Succulent steppe; Hummock grasslands, open low treeHummock grasslands, marble gum & mallee& mallee steppe; ( spinifex, Hummock grassland, mixed sandplain - sparse low trees over dwarf red mallee overshrubs with spinifex; mixed dwarf shrubs with Triodia scariosa & Hummock grassland, mixed sandplain - scattered low trees over sparse dwarf red mallee overshrubs with spinifex; mixed dwarf shrubs with Triodia scariosa & T. Medium woodland; salmon gum Medium woodland; Succulent steppe with scrub; Acacia Succulent steppe with scrub; victoriae & snakewood over saltbush & bluebush Mosaic: saltbush & bluebush/ Mosaic: samphire Shrublands; acacia, casuarina &Shrublands; acacia, melaleuca thicket Shrublands; bowgada and associated spp. scrub
Name Hummock grasslands O Murchison Succulent steppe F Murchison Hummock grasslands P Murchison Hummock grasslands Q Murchison Hummock grasslands R Murchison Medium woodland ZF Murchison Succulent steppe with scrub F Murchison Mosaic ZZY Murchison Shrublands Acacia ZE Murchison Shrublands Bowgada Q Murchison Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9100555 9100676 9100862 9100863 9100865 9100936 9101125 9101127 9101413 9102081
Appendices
153 Target
0.2 0.2 0.21 0.15 0.2 0.2 0.2 0.2 0.2 0.2 0.15 0.15 Urbanisation Urbanisation
0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05
Salinity Salinity
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
9.30 257.14 283.09 3562.16 4897.94 3719.61 820.96 12656.47 25357.38 10389.62 41.39 3.56
(sq km) (sq
Veg Remnant 9.30 257.10 273.31 3562.16 4897.94 3719.61 820.96 12656.47 25357.38 10389.62 41.39 3.56
overAcacia papyrocarpa overAcacia papyrocarpa & goldfields blackbutt & goldfields Description Mosaic: open low woodland; mulga/ open low woodland; Mosaic: saltbush & bluebushsucculent steppe; on greenstone Medium woodland; Allocasuarina Medium woodland; cristata salmon gum,Medium woodland; gimlet balckbutt, goldfields & Allocasuarina cristata Succulent steppe with open low woodland; saltbush & bluebush, Mosaic: medium woodland; goldfield medium woodland; Mosaic: eucalypts/succulent steppe with myoporum overopen low woodland; saltbush Succulent steppe with open low mulga & sheoak overwoodland; bluebush Succulent steppe; bluebush (inSucculent steppe; dongas) Succulent steppe; bluebush withSucculent steppe; grassy depressions Succulent steppe; bluebush withSucculent steppe; saltbush in depressions Succulent steppe with open low woodland; bluebush Succulent steppe; samphire Succulent steppe; Bare areas; claypans
Name Mosaic ZZZE Murchison Medium woodland ZZZC Murchison Medium woodland ZZZD Murchison Succulent steppe with open low woodland B Nullarbor Mosaic E Nullarbor Succulent steppe with open low woodland F Nullarbor Succulent steppe C Nullarbor Succulent steppe D Nullarbor Succulent steppe E Nullarbor Succulent steppe with open low woodland G Nullarbor Succulent steppe F Nullarbor Bare Areas F Nullarbor Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9102121 9102902 9102903 9110122 9110214 9110441 9110448 9110449 9110460 9110461 9110676 9111271
South West Australian Ecoregion initiative
154 Target
0.15 0.33 1 1 0.93 0.81 0.58 0.9 1 0.63 0.42 0.48 0.82 0.68 0.56 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 Salinity Salinity
0.05
0.05 0.05
0.05 0.05 0.05
0.05 Dieback Dieback
0.05 0.05 0.05 0.05
0.05
0.05
0.05 Kwongan
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
1541.29 31.42 191.26 135.32 563.43 59.93 26.58 160.24 33.25 18.39 103.46 0.77 14.41 12.55 2101.55
(sq km) (sq
Veg Remnant 1541.29 19.13 32.38 27.47 18.57 152.05 11.45 53.23 25.30 7.27 62.24 0.32 4.42 3.67 1134.27
) Description Succulent steppe with open woodland; salmon gum & gimlet over bluebush Tall woodland; tuart ( Eucalyptus Tall woodland; ) gomphocephala Medium forest; jarrah-marri Medium forest; Medium woodland; marri & wandoo Medium woodland; Medium woodland; tuart & jarrah Medium woodland; Low woodland; paperbark ( Melaleuca woodland; Low sp. Shrublands; Melaleuca thyoides thicket with scattered York gum Shrublands; teatree thicket Shrublands; scrub-heath Sedgeland; reed swamps, occasionallySedgeland; with heath Bare areas; drift sand Medium woodland; York gum &Medium woodland; salmon gum Medium woodland; York gum Medium woodland; Succulent steppe; samphire Succulent steppe; Low woodland; banksia woodland; Low
Name Succulent steppe with open woodland H Nullarbor Tall woodland A Swan Coastal Plain Medium forest A Swan Coastal Plain Medium woodland A Swan Coastal Plain Medium woodland C Swan CoastaPlain Low woodland I SwanLow Coastal Plain Shrublands Melaeuca A Swan Coastal Plain Shrublands Teatree A Swan Coastal Plain Shrublands Scrub heath A Swan Coastal Plain Sedgeland A Swan Coastal Plain Bare Areas E Swan Coastal Plain Medium woodland J Swan Coastal Plain Medium woodland M Swan Coastal Plain Succulent steppe F Swan Coastal Plain Low woodland Z SwanLow Coastal Plain Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9114641 9120002 9120003 9120004 9120006 9120027 9120031 9120037 9120048 9120051 9120129 9120142 9120352 9120676 9120949
Appendices
155 Target
1 0.29 1 0.89 0.53 0.45 1 0.28 0.76 1 0.94 0.96 0.45 Urbanisation Urbanisation
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05
0.05
0.05 0.05
0.05 Dieback Dieback
0.05 0.05
0.05 0.05 0.05 0.05
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
392.58 18.16 1373.74 25.15 1.18 14.83 19.52 34.44 508.68 1030.76 947.87 574.10 297.12
(sq km) (sq
Veg Remnant 37.87 15.84 98.56 5.66 0.33 8.22 3.61 24.27 201.83 99.00 251.46 150.10 166.39
Acacia rostellifera & Melaleuca acerosa heath/ Description Shrublands; dryandra heath Medium woodland; jarrah & marri Medium woodland; Medium woodland; jarrah, marri & jarrah, Medium woodland; wandoo Low forest; paperbark ( Melaleuca forest; Low ) rhaphiophylla Medium woodland; jarrah & wandoo Medium woodland; Succulent steppe with thicket; over samphire Melaleuca thyoides Low forest: peppermint ( Agonis forest: Low ) flexuosa Shrublands; melaleuca heath Medium woodland; tuart Medium woodland; Medium woodland; marri Medium woodland; Mosaic: medium forest jarrah-marriMosaic: and low woodland banksia & forest teatree Medium very sparse woodland jarrah with low woodland banksia & casuarina Mosaic: shrublands; Acacia lasiocarpa shrublands; Mosaic: & shrublands; thicket Acacia cyclops
Name Shrublands Other H Swan Coastal Plain Medium woodland ZN Swan Coastal Plain Medium woodland ZP Swan Coastal Plain Low Forest F Swan CoastalLow Plain Medium woodland ZT Swan Coastal Plain Succulent steppe with thicket B Swan Coastal Plain Low Forest I Swan CoastalLow Plain Shrublands Melaeuca H Swan Coastal Plain Medium woodland ZW Swan Coastal Plain Medium woodland ZX Swan Coastal Plain Mosaic ZU Swan Coastal Plain Medium very sparse woodland A Swan Coastal Plain Mosaic ZW Swan Coastal Plain Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9120952 9120965 9120968 9120973 9120987 9120988 9120990 9120997 9120998 9120999 9121000 9121001 9121007
South West Australian Ecoregion initiative
156 Target
1 1 1 0.23 0.71 1 0.48 1 0.61 0.56 1 0.38 0.91 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05
0.05
0.05
0.05 Dieback Dieback
0.05 0.05
0.05
0.05 0.05 0.05
0.05
0.05 Kwongan
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
45.61 182.03 12.10 12.66 5.08 4.55 410.64 195.57 15.23 58.82 140.59 8.04 56.10
(sq km) (sq
Veg Remnant 8.01 27.62 0.71 11.13 1.79 0.74 214.77 67.33 4.99 26.21 30.43 4.26 18.51 Description Medium open woodland; marri Medium open woodland; Medium woodland; marri & river gum Medium woodland; Medium open woodland; marri & tuart Medium open woodland; Medium open woodland; tuart Medium open woodland; Mosaic: medium open woodland;Mosaic: banksia tuart/low woodland; Medium open woodland; eucalyptsMedium open woodland; teatree over Mosaic: low woodland; banksia/ low woodland; Mosaic: teatree thicket shrublands; Mosaic: mixed scrub-heath/ Mosaic: dryandra thicket shrublands; Mosaic: low woodland; banksia/ low woodland; Mosaic: dryandra heath shrublands; Medium open woodland; jarrah &Medium open woodland; banksia with low woodland; marri, Mosaic: medium forest; jarrah-marri/ medium forest; Mosaic: banksia/low forest;low woodland; casuarina obesa teatree/low woodland; Medium sparse woodland; jarrah & marri Mosaic: medium forest; jarrah-marri/ medium forest; Mosaic: marri-wandoo medium woodland;
Name Medium open woodland C Swan Coastal Plain Medium woodland ZZ SwanMedium woodland ZZ Coastal Plain Medium open woodland D Swan Coastal Plain Medium open woodland E Swan Coastal Plain Mosaic ZX Swan Coastal Plain Medium open woodland F Swan Coastal Plain Mosaic ZY Swan Coastal Plain Mosaic ZZ Swan Coastal Plain Mosaic ZZA Swan Coastal Plain Medium open woodland G Swan Coastal Plain Mosaic ZZB Swan Coastal Plain Medium sparse woodland A Swan Coastal Plain Mosaic ZZC Swan Coastal Plain Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9121008 9121009 9121010 9121011 9121012 9121013 9121014 9121015 9121016 9121017 9121018 9121019 9121020
Appendices
157 Target
0.27 0.42 0.53 1 0.47 1 1 0.67 0.86 1 0.88 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05
0.05
0.05 0.05 Dieback Dieback
0.05
Kwongan
0.65
0.65
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
584.46 398.09 7.03 684.45 1365.79 270.19 33.77 858.64 17.15 20.60 27.77
(sq km) (sq
Veg Remnant 547.22 235.76 3.31 486.33 879.09 53.63 3.29 321.90 3.98 14.11 7.89
Acacia lasiocarpa cyclops (in the south) & Melaleuca acerosa heath Description Mosaic: shrublands; Acacia shrublands; Mosaic: rostellifera, A. (in the north)Melaleuca cardiophylla thicket/shrublands; Mosaic: medium open woodland;Mosaic: with low woodland;jarrah & marri, banksia/medium sparse woodland; jarrah & marri & Medium woodland; river gum river Medium woodland; Shrublands; scrub-heath dryandra- calothamnus association with banksia prionotes on limestone in the northern Swan Region Low woodland; Banksia attenuata & woodland; Low B. menziesii Mosaic: shrublands; hakea scrub- shrublands; Mosaic: dryandra heath heath/shrublands; Mosaic: medium open woodland;Mosaic: dryandra heath marri/shrublands; Low woodland; banksia prionotes woodland; Low Medium open woodland; eucalyptsMedium open woodland; Banksia with low woodland; (e2), attenuata & B. menziesii Shrublands; mallee with scattered York gum Medium woodland; York gum &Medium woodland; Casuarina obesa
Name Mosaic ZZE Swan Coastal Plain Mosaic ZZF Swan Coastal Plain Medium woodland ZZB Swan Coastal Plain Shrublands Scrub heath I Swan Coastal Plain Low woodland ZD SwanLow Coastal Plain Mosaic ZZG Swan Coastal Plain Mosaic ZZI Swan Coastal Plain Low woodland ZE SwanLow Coastal Plain Medium open woodland H Swan Coastal Plain Shrublands Mallee W Swan Coastal Plain Medium woodland ZZE Swan Coastal Plain Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9121026 9121027 9121028 9121029 9121030 9121031 9121035 9121036 9121038 9121039 9121040
South West Australian Ecoregion initiative
158 Target
1 1 0.81 1 0.37 0.52 0.37 0.46 0.28 0.33 0.39 0.27 0.25 0.26 0.36 0.37 0.31 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05
0.05 0.05
0.05
Dieback Dieback
0.05 0.05 0.05
0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 Kwongan
0.65
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
481.25 124.14 121.39 104.18 693.26 0.07 2526.65 50.96 33.30 380.79 710.24 9.58 0.30 96.97 358.67 121.90 154.06
(sq km) (sq
Veg Remnant 38.46 15.08 37.52 33.45 557.49 0.02 2038.11 33.25 29.69 284.80 540.99 8.87 0.30 91.82 247.13 81.32 124.92
) Melaleuca rhaphiophylla Melaleuca sp. Description Medium woodland; marri with someMedium woodland; gum & casuarina wandoo, river jarrah, Medium woodland, jarrah &Medium woodland, (Whicher haematoxylon Eucalyptus Range) Shrublands; scrub-heath on the Swan Coastal Plain rudis Eucalyptus Medium woodland; & Tall forest karri Tall woodland; tuart ( Eucalyptus Tall woodland; ) gomphocephala Medium forest; jarrah-marri Medium forest; Low forest; jarrah forest; Low Low woodland; Agonis flexuosa woodland; Low Low woodland; jarrah-banksia woodland; Low Low woodland; paperbark woodland; Low ( Shrublands; teatree thicket Shrublands; thicket, mixed Shrublands; thicket, Shrublands; mixed heath Sedgeland; reed swamps, occasionallySedgeland; with heath Bare areas; drift sand Shrublands; acacia scrub-heath (unknown spp.)
Name Medium woodland ZZU Swan Coastal Plain Medium woodland ZZV Swan Coastal Plain Shrublands Scrub heath O Swan Coastal Plain Medium woodland ZZW Swan Coastal Plain Tall forest A Warren Tall woodland A Warren Medium forest A Warren Low Forest A Warren Low Low woodland E Warren Low Low woodland F Warren Low Low woodland I Warren Low Shrublands Teatree A Warren Shrublands Thicket B Warren Shrublands Mixed A Warren Sedgeland A Warren Bare Areas E Warren Shrublands Acacia P Warren Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9121136 9121181 9123048 9121182 9130001 9130002 9130003 9130014 9130022 9130023 9130027 9130037 9130038 9130049 9130051 9130129 9130423
Appendices
159 Target
0.42 0.2 0.64 0.48 0.31 0.22 0.28 0.15 0.43 0.29 0.85 0.21 0.28 0.27 0.26 Urbanisation Urbanisation
0.05
0.05
0.05 0.05 0.05
0.05 0.05
0.05 0.05 0.05 0.05 Salinity Salinity
0.05
Dieback Dieback
0.05 0.05 0.05
0.05
0.05
0.05 0.05
0.05 0.05 0.05 Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
17.34 0.59 197.12 0.29 28.44 0.91 150.32 1.41 1.97 30.74 0.31 0.23 1.40 87.69 333.65
(sq km) (sq
Veg Remnant 10.28 0.59 92.74 0.09 22.67 0.84 133.66 1.38 1.13 26.62 0.06 0.22 1.24 82.32 318.54
Eucalyptus staeri & Acacia decipiens Description Low woodland; banksia woodland; Low Medium woodland; jarrah & marri Medium woodland; Mosaic: medium forest; jarrah-marri/ medium forest; Mosaic: jarrah low forest; Low forest; paperbark ( Melaleuca forest; Low ) rhaphiophylla Low woodland; jarrah woodland; Low Low forest; jarrah, forest; Low Allocasuarina fraseriana Low forest: peppermint ( Agonis forest: Low ) flexuosa Medium woodland; marri Medium woodland; Mosaic medium forest, jarrah-marriMosaic medium forest, and low woodland banksia forest teatree Medium open woodland; jarrah Medium open woodland; Medium open woodland; marri Medium open woodland; Medium woodland; marri & river gum Medium woodland; Low woodland; Banksia attenuata & woodland; Low B. menziesii Shrublands; Shrublands; peppermint scrub, Agonis flexuosa
Name Low woodland Z Warren Low Medium woodland ZN Warren Mosaic ZR Warren Low Forest F Warren Low Low woodland ZA Warren Low Low Forest H Warren Low Low Forest I Warren Low Medium woodland ZX Warren Mosaic ZU Warren Medium open woodland B Warren Medium open woodland C Warren Medium woodland ZZ Warren Low woodland ZD Warren Low Shrublands Acacia ZA Warren Shrublands Other K Warren Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9130949 9130965 9130969 9130973 9130975 9130978 9130990 9130999 9131000 9131002 9131008 9131009 9131030 9131108 9131109
South West Australian Ecoregion initiative
160 Target
0.15 0.32 0.26 0.21 0.28 0.22 0.15 0.27 0.28 0.65 0.32 0.27 0.15 0.38 0.21 0.22 Urbanisation Urbanisation
0.05 0.05
0.05 0.05
0.05 0.05 0.05 0.05
0.05 0.05 0.05 Salinity Salinity
0.05
0.05
Dieback Dieback
0.05 0.05 0.05 0.05
0.05 0.05
0.05 0.05
0.05
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
6.41 111.90 71.93 12.69 46.33 10.96 2.82 1.56 142.73 10.80 6.46 152.54 7.85 1603.15 53.94 20.19
(sq km) (sq
Veg Remnant 6.41 104.74 69.00 12.25 41.24 9.90 2.82 1.14 127.24 3.32 5.05 143.17 7.85 1276.87 51.53 18.41
heath Jacksonia horrida Melaueca incana, Hakea juncea scrub Viminaria jacksonii ) Eucalyptus cornuta ) Eucalyptus guilfoyleii ) Eucalyptus ) brevostylis Eucalyptus Description occidentalis ) Medium woodland; yate ( Eucalyptus Medium woodland; Mosaic: tall forest; karri/tall forest; tall forest; Mosaic: jarrah & marri Shrublands; Medium woodland; marri & yate Medium woodland; Tall forest; jarrah ( Eucalyptus Tall forest; marginata ) Tall forest; karri & red tingleTall forest; ( Medium forest; bushy yateMedium forest; ( Medium forest; marri Medium forest; Medium woodland; jarrah (southMedium woodland; coast) Shrublands; tuberculata, south coast on ironstone, Low forest; jarrah & marri forest; Low Tall forest; karri & yellow tingleTall forest; ( Tall forest; karri & Rate’s tingleTall forest; ( Tall forest; karri & marri ( Corymbia Tall forest; ) calophylla Tall forest; karri, red tingle & yellow karri, Tall forest; tingle Medium forest; jarrah & red tingle Medium forest;
Name Medium woodland ZZR Warren Mosaic ZZX Warren Shrublands Other L Warren Medium woodland ZZS Warren Tall forest B Warren Tall forest C Warren Medium forest D Warren Medium forest I Warren Medium woodland ZZT Warren Shrublands Melaeuca J Warren Low Forest K Warren Low Tall forest D Warren Tall forest E Warren Tall forest F Warren Tall forest G Warren Medium forest F Warren Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9131111 9131112 9131113 9131115 9131116 9131130 9131131 9131132 9131134 9131137 9131138 9131139 9131140 9131144 9131150 9131151
Appendices
161 Target
0.25 0.25 0.15 0.23 0.27 0.26 0.2 0.24 0.2 0.27 0.2 0.15 0.2 0.15 0.15 0.2 0.15 Urbanisation Urbanisation
0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
0.05
0.05
Salinity Salinity
0.05
0.05
0.05
Dieback Dieback
0.05
0.05
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
1002.80 73.79 81.16 9.39 750.18 10.40 95.75 7.93 0.95 3027.14 15.84 2.87 221.67 6.64 50.50 108.10 43.51
(sq km) (sq
Veg Remnant 1002.80 72.92 81.16 8.02 694.09 9.91 95.75 6.48 0.93 2846.43 15.84 2.87 221.67 6.64 50.47 108.10 43.51
quadrifidis Calothamnus Acacia rostellifera thicket Acacia ligulata over Triodia Hakea trifircata (Cape Naturaliste) Description Low woodland; mulga ( Acacia aneura ) woodland; Low Medium forest; jarrah & yellow tingle Medium forest; Low woodland; mulga between woodland; Low sandridges Medium forest; jarrah & Rate’s tingle Medium forest; Shrublands; thicket, acacia-casuarina thicket, Shrublands; alliance Tall forest; jarrah & marri Tall forest; Shrublands; mulga scrub Shrublands; Mosaic: medium forest; jarrah & medium forest; Mosaic: jarrah &yellow tingle/medium forest; Rate’s tingle Shrublands; acacia scrub, various acacia scrub, Shrublands; species Medium woodland red mallee group Shrublands; & Shrublands; teatree scrub Shrublands; Shrublands; Shrublands; mixed heath Shrublands; Hummock grasslands, shrubHummock grasslands, steppe; plurinervata Succulent steppe with open low mulga & sheoak woodland; Bare areas; drift sand
Name Medium forest E Warren Low woodland B Yalgoo Low Medium forest G Warren Shrublands Thicket A Yalgoo Tall forest H Warren Shrublands Mulga A Yalgoo Mosaic ZZZA Warren Shrublands Acacia B Yalgoo Medium woodland G Yalgoo Shrublands Other M Warren Shrublands Teatree B Yalgoo Shrublands Acacia A Yalgoo Shrublands Mixed A Yalgoo Low woodland A Yalgoo Low Hummock grasslands F Yalgoo Succulent steppe with open low woodland A Yalgoo Bare Areas E Yalgoo Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9131152 9140019 9131153 9140036 9131157 9140039 9131158 9140040 9140010 9131180 9140041 9140017 9140049 9140018 9140112 9140120 9140129
South West Australian Ecoregion initiative
162 Target
0.2 0.2 0.2 0.15 0.15 0.2 0.25 0.2 0.15 0.2 0.2 0.2 0.2 Urbanisation Urbanisation
0.05 0.05 0.05
0.05 0.05 0.05
0.05 0.05 0.05
Salinity Salinity
0.05
0.05 Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
118.45 208.57 76.97 92.59 115.85 0.43 189.44 450.85 35.86 121.59 401.78 373.23 640.89
(sq km) (sq
Veg Remnant 118.45 208.57 76.97 92.59 115.85 0.43 189.44 450.01 35.86 121.59 401.71 373.23 640.89
Acacia sclerosperma & Acacia quadrimarginea Acaica sclerosperma & Description Succulent steppe with open scrub; scattered mulga & Acacia sclerosperma saltbush & bluebush over Medium woodland; York gum, salmon York gum, Medium woodland; gum & gimlet Shrublands; Shrublands; bowgada scrub Medium woodland; York gum &Medium woodland; salmon gum Shrublands; bowgada & grevillea scrub bowgada & grevillea Shrublands; Shrublands; mulga & minnieritchie scrub Succulent steppe; saltbush Succulent steppe; Shrublands; mulga & Acacia quadrimarginea scrub Shrublands; Shrublands; scrub Succulent steppe with open scrub; scattered bowgada over saltbush & bluebush Shrublands; bowgada & minnieritchieShrublands; scrub Shrublands; bowgada scrub withShrublands; scattered red mallee & Eucalyptus sp. Low woodland; York gum & cypress woodland; Low pine (adjacent to e6pMLi)
Name Medium woodland I Yalgoo Shrublands Acacia D Yalgoo Medium woodland J Yalgoo Shrublands Bowgada A Yalgoo Shrublands Mulga B Yalgoo Succulent steppe A Yalgoo Shrublands Mulga E Yalgoo Shrublands Acacia F Yalgoo Succulent steppe with open scrub B Yalgoo Succulent steppe with open scrub C Yalgoo Shrublands Bowgada B Yalgoo Shrublands Bowgada C Yalgoo Low woodland M Yalgoo Low Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9140141 9140205 9140142 9140206 9140169 9140221 9140202 9140228 9140204 9140240 9140243 9140248 9140256
Appendices
163 Target
0.15 0.25 0.2 0.2 0.2 0.2 0.2 0.15 0.2 0.2 0.2 Urbanisation Urbanisation
0.05 0.05 0.05 0.05 0.05 0.05
0.05 0.05
Salinity Salinity
0.05
0.05 Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
191.79 49.03 70.93 375.89 10.48 13.67 5425.91 27.85 135.79 550.25 370.03
(sq km) (sq
Veg Remnant 191.79 49.03 70.93 375.89 10.48 13.67 5425.91 27.85 135.56 540.93 370.03
Acacia spp., Acacia sclerosperma over Description Mosaic: shrublands tree-heathMosaic: between sandhills; Banksia ashbyi, Grevillea gordoniana, melaleuca and mallee/shrublands; scrub-heath Mosaic: shrublands; bowgada scrub/ shrublands; Mosaic: saltbush & bluebush succulent steppe; Succulent steppe with open scrub; scattered saltbush & bluebush Low woodland over scrub; mulga over scrub; woodland over Low bowgada scrub Succulent steppe with open woodland; York gum over saltbush Mosaic: shrublands; Acacia shrublands; Mosaic: sclerosperma & bowgada scrub/ saltbush & bluebush succulent steppe; Low woodland over scrub; mulga over scrub; woodland over Low bowgada & minnieritchie scrub Mosaic: shrublands; bowgada scrub/ shrublands; Mosaic: mixed sandplainhummock grasslands, - open red mallee & mixed sparse dwarf shrubs over Triodia basedowii Medium woodland; York gum Medium woodland; Shrublands; bowgada & jam scrub with scattered York gum & red mallee Medium woodland over scrub; YorkMedium woodland over scrub; gum over bowgada & jam ( Acacia acuminata )
Name Mosaic I Yalgoo Mosaic J Yalgoo Succulent steppe with open scrub E Yalgoo Low woodland O Yalgoo Low Succulent steppe with open woodland A Yalgoo Mosaic N Yalgoo Low woodland Q Yalgoo Low Mosaic O Yalgoo Medium woodland M Yalgoo Shrublands Bowgada D Yalgoo Medium woodland over scrub B Yalgoo Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9140260 9140266 9140268 9140269 9140314 9140321 9140326 9140337 9140352 9140355 9140357
South West Australian Ecoregion initiative
164 Target
0.2 0.2 0.15 0.2 0.25 0.26 0.2 0.25 0.15 0.2 0.2 0.15 0.15 Urbanisation Urbanisation
0.05 0.05
0.05 0.05 0.05 0.05 0.05
0.05 0.05
Salinity Salinity
0.05 0.05
0.05
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
556.22 763.81 0.69 2476.55 5100.52 417.35 3293.84 120.46 77.61 39.59 163.38 66.54 7.09
(sq km) (sq
Veg Remnant 556.09 763.81 0.69 2476.55 5054.45 407.87 3293.84 119.96 77.61 39.59 163.38 65.97 7.09
Grevillea , melaleucaAcacia spp. , Acacia rostellifera Melaleuca cardiophylla , Banksia ashbyi Description Shrublands; bowgada & Acacia quadrimarginea on stony ridges Shrublands; bowgada & minnieritchie scrub with scattered mulga Mosaic: shrublands; bowgada & shrublands; Mosaic: minnieritchie scrub with scattered mulga/scattered groups of saltbush/ bluebush Shrublands; bowgada scrub with scattered cypress pine Shrublands; bowgada scrub with scattered eucalypts & cypress pine Shrublands; bowgada & jam scrub with scattered York gum & red mallee Shrublands tree-heath between sandhills; , gordoniana , and mallee Shrublands; scrub-heath on sandplain Shrublands; scrub-heath Shrublands; mallee & acacia thicket on coastal dunes (central west) Shrublands; bowgada & jam scrub with scattered York gum Shrublands; thicket Succulent steppe with open low mulga over saltbush woodland;
Name Shrublands Bowgada E Yalgoo Shrublands Bowgada G Yalgoo Mosaic U Yalgoo Shrublands Bowgada H Yalgoo Shrublands Bowgada I Yalgoo Shrublands Bowgada J Yalgoo Shrublands tree heath A Yalgoo Shrublands Scrub heath D Yalgoo Shrublands Acacia K Yalgoo Shrublands Mallee E Yalgoo Shrublands Bowgada L Yalgoo Shrublands Melaeuca C Yalgoo Succulent steppe with open low woodland D Yalgoo Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9140358 9140361 9140362 9140363 9140364 9140365 9140368 9140380 9140383 9140384 9140385 9140387 9140389
Appendices
165 Target
0.26 0.25 0.25 0.15 0.2 0.2 0.2 0.2 0.26 0.25 0.15 0.15 0.15 Urbanisation Urbanisation
0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05
Salinity Salinity
0.05 0.05 0.05
0.05 0.05
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
1519.03 251.14 1529.97 121.63 50.87 303.89 321.80 2240.69 3030.41 6230.86 13.87 37.27 43.03
(sq km) (sq
Veg Remnant 1446.93 248.66 1518.60 121.63 50.87 303.89 321.80 2240.69 2904.60 6217.67 13.87 37.27 43.02
Acacia sclerosperma , Acacia quadrimarginea Allocasuarina huegeliana ) over samphire Melaleuca thyioides Description Shrublands; bowgada & Acacia murrayana scrub Shrublands; bowgada & jam scrub Shrublands; acacia, casuarina,Shrublands; acacia, eudesmioides, Banksia Eucalyptus & other mixed species thicket ashbyi Succulent steppe with open scrub; scattered bowgada & jam over saltbush Succulent steppe with scrub; teatreeSucculent steppe with scrub; ( Succulent steppe with open scrub; scattered bowgada & jam over saltbush & bluebush Succulent steppe with open scrub; scattered mulga & other wattles over saltbush & bluebush Low woodland; mulga mixed with woodland; Low cypress pine & York gum Shrublands; bowgada, jam and Melaleuca uncinata thicket Shrublands; bowgada & jam scrub Shrublands; acacia scrub-heath (unknown spp.) Shrublands; mixed acacia thicket on sandplain Shrublands; & jam scrub with scattered York gum &
Name Shrublands Bowgada M Yalgoo Shrublands Acacia M Yalgoo Shrublands Acacia N Yalgoo Succulent steppe with open scrub G Yalgoo Succulent steppe with scrub D Yalgoo Succulent steppe with open scrub H Yalgoo Succulent steppe with open scrub I Yalgoo Low woodland T Yalgoo Low Shrublands Bowgada N Yalgoo Shrublands Bowgada O Yalgoo Shrublands Acacia P Yalgoo Shrublands Mixed C Yalgoo Shrublands Acacia S Yalgoo Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9140404 9140405 9140406 9140411 9140412 9140414 9140415 9140416 9140419 9140420 9140423 9140437 9140434
South West Australian Ecoregion initiative
166 Target
0.2 0.15 0.2 0.15 0.25 0.2 0.2 0.34 0.2 0.2 0.15 Urbanisation Urbanisation
0.05
0.05
0.05 0.05 0.05 0.05 0.05 0.05
Salinity Salinity
0.05
Dieback Dieback
Kwongan
Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
2025.87 59.77 71.28 40.16 284.17 503.19 40.65 7.72 17.70 174.02 241.94
(sq km) (sq
Veg Remnant 2025.87 59.77 71.28 40.16 284.17 503.19 40.65 4.61 17.70 174.02 241.93
Allocasuarina campestris Acacia sclerosperma & Triodia basedowii Description Hummock grasslands, mixedHummock grasslands, sandplain - open mallee over sparse red malleedwarf shrubs with spinifex ; mallee & mixed sparse dwarf shrubs over Hummock grassland, mixed sandplain - scattered low trees over sparse dwarf red mallee overshrubs with spinifex; mixed dwarf shrubs with Triodia basedowii Low woodland; mulga & cypress pine woodland; Low Shrublands; thicket Succulent steppe; samphire Succulent steppe; Succulent steppe with open scrub; scattered snakewood over samphire Medium woodland; York gum & redMedium woodland; mallee Shrublands; bowgada & jam scrub with scattered Allocasuarina & York gum heugeliana Medium woodland; salmon gum Medium woodland; Mosaic: shrublands; acacia & shrublands; Mosaic: melaleuca scrub/succulent steppe; saltbush Hummock grassland; dwarf shrub/ Hummock grassland; mixed ericoid shrubs &steppe; spinifex
Name Hummock grasslands K Yalgoo Hummock grasslands M Yalgoo Low woodland X Yalgoo Low Shrublands Allocasuarina A Yalgoo Succulent steppe F Yalgoo Succulent steppe with open Yalgoo scrub L Medium woodland ZD Yalgoo Shrublands Bowgada P Yalgoo Medium woodland ZF Yalgoo Mosaic ZT Yalgoo Hummock grasslands T Yalgoo Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9140483 9140485 9140533 9140551 9140676 9140683 9140686 9140687 9140936 9140984 9141100
Appendices
167 Target
0.15 0.15 0.2 0.15 0.23 0.2 0.15 0.2 0.81 1 1 0.84 1 1 Urbanisation Urbanisation
0.05
0.05 0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05 0.05 0.05 0.05 0.05 Dieback Dieback
0.05 0.05
0.05 Kwongan
0.45 0.45 0.45 0.45 0.45 0.45 Mallee
Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
36.51 129.53 27.31 7.17 120.69 277.79 380.40 179.24 265.24 5480.58 93.73 2198.45 675.15 83.20
(sq km) (sq
Veg Remnant 36.51 128.46 27.31 7.17 104.82 277.58 380.40 179.24 228.13 2761.63 21.61 1834.66 346.22 39.66
Acacia quadrimarginea Acacia rostellifera & Description Mosaic: shrublands; mixed heath/ shrublands; Mosaic: acacia patchy scrub shrublands; Mosaic: shrublands; scrub-heath/ shrublands; Mosaic: shrublands; thickets Melaleuca cardiophylla Mosaic: shrublands; scrub-heath/ shrublands; Mosaic: acacia various speciesshrublands; scrub Open low woodland; Eucalyptus Open low woodland; oraria Mosaic: succulent steppe with thicket;Mosaic: over samphire/ Melaleuca thyiodes bowgada open scrub shrublands; Shrublands; scrub-heath in Shark Bay mainly Acacia spp. area, Shrublands; bowgada and associated species, scrub Shrublands; & jam scrub on greenstone Shrublands; mallee & acacia scrub on south coastal dunes Shrublands; tallerack mallee-heath Shrublands; scrub-heath Shrublands; mallee scrub, blackShrublands; mallee scrub, marlock Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, eremophila Shrublands; mallee scrub ( Eucalyptus nutans )
Name Mosaic ZZU Yalgoo Mosaic ZZV Yalgoo Mosaic ZZV Mosaic ZZW Yalgoo Open low woodland A Yalgoo Mosaic ZZZC Yalgoo Shrublands Scrub heath M Yalgoo Shrublands Bowgada Q Yalgoo Shrublands Acacia H Yalgoo Shrublands Mallee A EsperanceF Shrublands Other A Esperance F Shrublands Scrub heath A Esperance F Shrublands Mallee J Esperance F Shrublands Mallee K Esperance F Shrublands Mallee O Esperance F Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9141102 9141104 9141106 9141107 9141198 9141423 9142081 9142685 9400042 9400047 9400048 9400516 9400519 9400934
South West Australian Ecoregion initiative
168 Target
0.79 1 0.6 1 1 1 1 0.6 0.65 0.65 1 1 1 1 0.74 Urbanisation Urbanisation
0.05 0.05
0.05 0.05
0.05
0.05 0.05 0.05 0.05 0.05 0.05 0.05 Salinity Salinity
0.05 0.05
0.05 0.05 0.05 0.05
0.05 0.05 0.05 0.05 0.05 Dieback Dieback
0.05 0.05
0.05
Kwongan
0.45 0.45 0.45 0.45 0.45 0.45 0.45
0.45
0.45 0.45 0.45 0.45
Mallee
0.45
0.45
0.45 Initial base Initial
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
1088.95 4170.06 8.82 958.49 42.30 0.22 309.33 29.08 639.68 7.31 676.19 15711.05 7.77 299.95 3340.02
(sq km) (sq
Veg Remnant 1031.22 607.57 8.80 337.31 20.15 0.06 151.35 29.08 639.68 7.31 66.44 7608.46 2.74 140.32 3180.35
eremophila Eucalyptus Description Shrublands; mallee & acacia scrub on south coastal dunes Shrublands; tallerack mallee-heath Shrublands; scrub-heath Shrublands; mallee scrub, blackShrublands; mallee scrub, marlock Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, eremophila Shrublands; mallee scrub ( Eucalyptus nutans ) Shrublands; tallerack mallee-heath Medium woodland; merrit & redMedium woodland; mallee Mosaic: medium woodland; salmon medium woodland; Mosaic: malleegum & red mallee/shrublands; scrub, Medium woodland; salmon gumMedium woodland; mixed with merrit & red mallee Shrublands; mallee scrub, blackShrublands; mallee scrub, marlock Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, eremophila Shrublands; mallee scrub ( Eucalyptus nutans ) Shrublands; tallerack mallee-heath Medium woodland; merrit & redMedium woodland; mallee
Name Shrublands Mallee A Esperance R Shrublands Other A Esperance R Shrublands Scrub heath A Esperance R Shrublands Mallee J Esperance R Shrublands Mallee K Esperance R Shrublands Mallee O Esperance R Shrublands Other A Mallee WM Medium woodland O WM Mosaic ZB Mallee WM Medium woodland R WM Shrublands Mallee J WM Shrublands Mallee K WM Shrublands Mallee O WM Shrublands Other A Mallee EM Medium woodland O EM Category
Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9410042 9410047 9410048 9410516 9410519 9410934 9900047 9900482 9900486 9900493 9900516 9900519 9900934 9910047 9910482
Appendices
169 Target
1 0.65 1 0.81 1 Urbanisation Urbanisation
0.05 0.05 0.05 0.05
Salinity Salinity
0.05
0.05 0.05 0.05 Dieback Dieback
Kwongan
0.45
0.45 0.45 0.45 Mallee
0.45
Initial base Initial
0.15 0.15 0.15 0.15 0.15
(sq km) (sq
Pre-Europe
2877.98 187.60 2238.50 5358.01 1.63
(sq km) (sq
Veg Remnant 1059.53 187.60 1090.68 4640.40 1.05
eremophila Eucalyptus Description Mosaic: medium woodland; salmon medium woodland; Mosaic: malleegum & red mallee/shrublands; scrub, Medium woodland; salmon gumMedium woodland; mixed with merrit & red mallee Shrublands; mallee scrub, blackShrublands; mallee scrub, marlock Shrublands; mallee scrub, Eucalyptus Shrublands; mallee scrub, eremophila Shrublands; mallee scrub ( Eucalyptus nutans )
Name Mosaic ZB Mallee EM Medium woodland R EM Shrublands Mallee J EM Shrublands Mallee K EM Shrublands Mallee O EM Category
Vegetation Vegetation Vegetation Vegetation Vegetation Marxan ID Marxan 9910486 9910493 9910516 9910519 9910934
South West Australian Ecoregion initiative
170 Target
0.45 0.75 0.45 0.3 0.45 0.3 0.3 0.45 0.3 0.3 0.3 0.3 0.3 Endemic
0.15 0.00 0.15 0.00 0.15 0.00 0.00 0.15 0.00 0.00 0.00 0.00 0.00 Listed
0.00 0.45 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - - Reasoning for target Vulnerable (Federal), Process lim ited (grazing) Endemic, Resource limited (nec tarivore), Expert recommendation (numbers possibly declining) Priority 4 (DEC) Endemic, Resource limited (ground-foraging insectivore), Pro - cess limited (fire), Priority 4 (DEC) Expert recommendation (indicator of ecosystem health) Expert recommendation (indicator of ecosystem health, salinisation) Endemic, Expert recommendation (numbers possibly declining) Resource limited (ground-foraging insectivore) Area limited (fragmentation), Expert recommendation (numbers possibly declining) Expert recommendation (numbers possibly declining) Expert recommendation (possible decliner, locally extinct in Wheat belt), Priority 4 (DEC) Resource limited (insectivore) Endemic, Process limited (fire), Expert recommendation (numbers possibly declining) Common Name Slender-billed thornbill Western spinebill Striated grasswren Thick-billed grasswren Australasian shoveler Pacific black duck Western little wattlebird Southern whiteface Little eagle White-necked heron Australian bustard Dusky woodswallow Western thornbill striatus striatus
Species Name Acanthiza iredalei Acanthorhynchus superciliosus Amytornis Amytornis textilis Anas rhynchotis Anas superciliosa Anthochaera lunulata Aphelocephala leucopsis Aquila morphnoides (Hieraaetus morphnoides) Ardea pacifica Ardeotis australis Artamus cyanopterus Acanthiza inornata Category
Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Marxan ID Marxan 1002 1003 1096 1004 1100 1102 1005 1006 1007 1087 1008 1009 Non-vegetation 1001
Appendices
171 Target
0.3 0.3 0.9 0.3 0.6 0.3 0.75 0.45 0.9 0.45 0.3 0.9 0.9 Endemic
0.00 0.00 0.15 0.00 0.00 0.00 0.00 0.15 0.15 0.15 0.00 0.15 0.15 Listed
0.00 0.00 0.45 0.00 0.45 0.00 0.45 0.00 0.45 0.00 0.00 0.45 0.45 AOR
0.15 0.15 0.15 0.15 0 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - Reasoning for target Resource limited (insectivore) Endemic, Rare (State), Vulnerable (Federal), Endangered (State), Process limited (fire) Area limited (deep permanent water) Rare (State), Vulnerable (State) Expert recommendation (locally extinct in Wheatbelt), Priority 4 (DEC) Resource limited (nesting hollows), Other specially protected (State) Endemic, Resource limited (nesting hollows), Process limited (slow breeding rate) Endemic, Rare (State), Vulnerable (Federal), Endangered (State), Resource limited (nesting hollows), Process limited (slow breeding rate) Endemic, Priority 4 (DEC) Expert recommendation (numbers possibly declining) Endemic, Rare (State), Vulnerable (Federal), Resource limited (nest ing hollows) Endemic, Rare (State), Vulnerable (Federal), Resource limited (nest ing hollows) Resource limited (insectivore) Common Name Masked woodswallow Noisy scrub-bird Musk duck Australasian bittern Bush stone-curlew Major Mitchell’s cockatoo Western long-billed corella (northern sp.) Muir’s corella (southern sp.) Rufous fieldwren (Western Wheatbelt sp.) Curlew sandpiper Forest red-tailed black-cockatoo Baudin’s black-cockatoo (long-billed black cockatoo) Little woodswallow
Species Name Artamus personatus Atrichornis clamosus Biziura lobata Botaurus poiciloptilus Burhinus grallarius Cacatua leadbeateri Cacatua pastinator butleri (derbyi ) Cacatua pastinator pastinator Calamanthus campestris montanellus Calidris ferruginea Calyptorhynchus banksii naso Calyptorhynchus baudinii Artamus minor Category
Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Marxan ID Marxan 1012 1013 1014 1015 1016 1017 1094 1093 1019 1085 1020 1021 1011
South West Australian Ecoregion initiative
172 Target
0.5 0.5 0.9 0.9 0.3 0.3 0.75 0.3 0.3 0.3 0.3 0.3 Endemic
0.00 0.00 0.15 0.15 0.00 0.00 0.15 0.00 0.00 0.00 0.00 0.00 Listed
0.00 0.00 0.45 0.45 0.00 0.00 0.45 0.00 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.35 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.35 - - Reasoning for target Vegetation feeding surrogate Endemic, Rare (State), Endangered (Federal), Resource limited (food, nesting hollows) Endemic, Rare (State), Endangered (Federal), Resource limited (food, nesting hollows) Non-action specific Non-action specific Endemic, Rare (State), Vulnerable (Federal) Area limited (breeding, feeding), Priority 4 (DEC) Process limited (grazing), Priority 4 (DEC) Area limited (fragmentation), Expert recommendation (locally extinct in Wheatbelt) Area limited (breeding) Area limited (fragmentation), Pro cess limited (fire) Vegetation feeding surrogate, ex pert recommendation (threatened habitat) Common Name Carnaby’s black-cockatoo (feeding areas Wheatbelt and other areas) Carnaby’s black-cockatoo (breeding/ roosting areas Swan Coastal Plain) Carnaby’s black-cockatoo (breeding/ roosting areas Wheatbelt and other areas) Carnaby’s black-cockatoo (Swan Coastal Plain) Carnaby’s black-cockatoo (Wheatbelt and other regions) Cape Barren goose (south-western sp.), Recherche Cape Barren goose Hooded plover Nullabor quail-thrush (or cinnamon quail thrush) Chestnut quail-thrush Banded stilts White-browed treecreeper Carnaby’s black-cockatoo (feeding areas Swan Coastal Plain)
Species Name Calyptorhynchus latirostris OTHER Calyptorhynchus latirostris SCP Calyptorhynchus latirostris OTHER Calyptorhynchus latirostris SCP Calyptorhynchus latirostris OTHER Cereopsis novaehollandiae grisea Charadrius rubricollis (Thinornis rubricollis) Cinclosoma alisteri (Cinclosoma cinnamomeum) Cinclosoma castanotus Cladorhynchus leucocephalus Climacteris affinis Calyptorhynchus latirostris SCP Category
Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Marxan ID Marxan 1018 1098 1099 1022 1023 1024 1025 1026 1027 1028 1029 1010
Appendices
173 Target
0.3 0.3 0.9 0.3 0.45 0.3 0.3 0.3 0.6 0.45 0.3 0.3 Endemic
0.00 0.00 0.15 0.00 0.15 0.00 0.00 0.00 0.00 0.15 0.00 0.00 Listed
0.00 0.00 0.45 0.00 0.00 0.00 0.00 0.00 0.45 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - Reasoning for target Area limited (fragmentation), Expert recommendation (numbers possibly declining) Endemic, Rare (State), Vulnerable (Federal), Process limited (fire), Resource limited (ground-foraging Insectivore) Resource limited (large seed dis perser), Expert recommendation (locally extinct in Wheatbelt) Endemic, Resource limited (ground-foraging Insectivore) Area limited (fragmentation), Resource limited (ground-foraging insectivore) Expert recommendation (numbers possibly declining) Priority 4 (DEC) Other specially protected (State) Endemic, Area limited (fragmen tation), Expert recommendation (numbers possibly declining), Priority 4 (DEC) Resource limited (pollinator) Expert recommendation (numbers possibly declining) Resource limited (insectivore), Process limited (fire), Expert recommendation (locally extinct in Wheatbelt) Common Name Grey shrike-thrush Western bristlebird Emu White-breasted robin Western yellow robin Red-kneed dotterel Grey falcon Peregrine Falcon Crested shrike-tit Purple-crowned lorikeet Tree martin Rufous treecreeper novaehollandiae
Species Name Colluricincla harmonica Dasyornis longirostris Dromaius Eopsaltria georgiana Eopsaltria griseogularis Erythrogonys cinctus Falco hypoleucos Falco peregrinus Falcunculus frontatus leucogaster Glossopsitta porphyrocephala Hirundo nigricans Climacteris rufa Category
Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Marxan ID Marxan 1031 1032 1033 1035 1034 1089 1036 1037 1038 1039 1091 1030
South West Australian Ecoregion initiative
174 Target
0.45 0.75 0.3 0.3 0.75 0.3 0.3 0.3 0.45 0.3 0.3 0.3 0.3 0.45 Endemic
0.15 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.15 0.00 0.00 0.00 0.00 0.15 Listed
0.00 0.45 0.00 0.00 0.45 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - Reasoning for target Priority 3 (DEC), Area limited (fragmentation) Priority 4 (DEC) Resource limited (insectivore) Rare (State), Vulnerable (Federal), Area limited (fragmentation), Expert recommendation (locally extinct in Wheatbelt) Resource limited (nectarivore), Expert recommendation (numbers possibly declining) Resource limited (nectarivore) Possible decliner (Swan Coastal Plain) Endemic, Resource limited (ground-foraging insectivore) Resource limited (ground-foraging insectivore), Resource limited (ground-foraging insectivore) Resource limited (ground-foraging insectivore) Resource limited (ground-foraging insectivore), Expert recommenda tion (numbers possibly declining) Expert recommendation (Endem Endemic, Priority 4 (DEC) ic), Resource limited (nectarivore), Expert recommendation (locally extinct in Wheatbelt) Common Name Black bittern Little bittern White-winged triller Malleefowl Purple-gaped honeyeater Yellow-plumed honeyeater Black-tailed godwit Red-winged fairy-wren Variegated fairy-wren White-winged fairy-wren Blue-breasted fairy-wren Splendid fairy-wren White-naped honeyeater Shy heathwren (western sp.)
Species Name Ixobrychus flavicollis australis Ixobrychus minutus Lalage tricolor (Lalage sueurii) Leipoa ocellata Lichenostomus cratitius Lichenostomus ornatus Limosa limosa Malurus elegans Malurus lamberti Malurus leucopterus Malurus pulcherrimus Malurus splendens Melithreptus chloropsis (Melithreptus lunatus) Hylacola cauta whitlocki Category
Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Marxan ID Marxan 1041 1042 1043 1044 1045 1046 1084 1047 1048 1049 1050 1051 1052 1040
Appendices
175 Target
0.3 0.3 0.75 0.3 0.3 0.3 0.3 0.3 0.45 0.3 0.3 Endemic
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.15 0.00 0.00 Listed
0.00 0.00 0.45 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - - - Reasoning for target tion (numbers possibly declining) Area limited (fragmentation) Area limited (edge species), Re Priority 4 (DEC) Area limited (fragmentation), Pri ority 4 (DEC) Area limited (deep permanent water), Expert recommendation (indicator of ecosystem health, salinisation) Area limited (fragmentation) Resource limited (insectivore) Expert recommendation (En demic), Resource limited (water courses, instectivore), Area limited (habitat fragmentation, loss of large trees, ground disturbance) Resource limited (water courses, instectivore), Area limited (habitat fragmentation, loss of large trees, ground disturbance) Resource limited (leaf gleaner, water courses, insectivore), Area limited (habitat fragmentation, loss of large trees, ground disturbance) Area limited (fragmentation), Resource limited (ground-foraging insectivore), Expert recommenda source limited (hollows), Priority 2 (DEC) Common Name Restless flycatcher Barking owl Eastern curlew Crested bellbird (southern sp.) Blue-billed duck Gilbert’s whistler Rufous whistler Spotted pardalote Red browed pardalote Striated pardalote Jacky winter
Species Name Myiagra inquieta Ninox connivens Numenius madagascariensis Oreoica gutturalis gutturalis Oxyura australis Pachycephala inornata Pachycephala rufiventris Pardalotus punctatus Pardalotus rubricatus Pardalotus striatus Microeca fascinans Category
Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Marxan ID Marxan 1055 1056 1057 1059 1060 1061 1062 1063 1097 1064 1054
South West Australian Ecoregion initiative
176 Target
0.3 0.3 0.3 0.6 0.9 0.3 0.3 0.3 0.3 0.75 0.45 0.9 0.45 0.3 Endemic
0.00 0.00 0.00 0.00 0.15 0.00 0.00 0.00 0.00 0.15 0.15 0.15 0.15 0.00 Listed
0.00 0.00 0.00 0.45 0.45 0.00 0.00 0.00 0.00 0.45 0.00 0.45 0.00 0.00 AOR
0.15 0.15 0.15 0 0.15 0.15 0.15 0.15 0.15 0 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - - Reasoning for target Area limited (fragmentation), Expert recommendation (locally extinct in Wheatbelt), Expert rec Resource limited (ground-foraging insectivore), Expert recommenda tion (numbers possibly declining) Rare (State) Endemic, Rare (State), Endangered (Federal), Process limited (fire), Critically Endangered (State) Resource limited (ground-foraging) Resource limited (ground-foraging) Resource limited (nectarivore), Expert recommendation (numbers possibly declining) Expert recommendation (numbers possibly declining) Endemic, Other specially protected (State) Endemic, Resource limited Endemic, Rare (State), Resource limited (nesting hollows), Vulner able (State) Endemic, Resource limited (nesting hollows) Expert recommendation (numbers possibly declining) Area limited (breeding) ommendation (numbers possibly declining) Common Name Hooded robin Scarlet robin Night parrot Western ground parrot Common bronzewing Brush bronzewing Tawny-crowned honeyeater Yellow-billed spoonbill Naretha blue bonnett Western rosella (southern sp.) Western rosella (Mallee sp.) Red-capped parrot Pacific golden plover Australian pelican
Species Name Petroica cucullata (Melanodryas cucullata ) Petroica multicolor Pezoporus occidentalis Pezoporus wallicus flaviventris Phaps chalcoptera Phaps elegans Phylidonyris melanops Platalea flavipes Platycercus haematogaster narethae Platycercus icterotis icterotis Platycercus icterotis xanthogenys Platycercus spurius Pluvialis fulva Pelecanus conspicillatus Category
Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Marxan ID Marxan 1066 1067 1068 1069 1070 1071 1072 1088 1073 1095 1074 1075 1086 1065
Appendices
177 Target
0.75 0.45 0.9 0.45 0.45 0.3 0.3 0.3 0.3 0.9 0.3 0.9 0.9 0.75 Endemic
0.00 0.15 0.15 0.15 0.15 0.00 0.00 0.00 0.00 0.15 0.00 0.15 0.15 0.00 Listed
0.45 0.00 0.45 0.00 0.00 0.00 0.00 0.00 0.00 0.45 0.00 0.45 0.45 0.45 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - Reasoning for target Endemic, Priority 4 (DEC) Endemic, Rare (State), Endangered (Federal), Process limited (fire) Endemic, Priority 4 (DEC), Process limited (fire) Endemic, Area limited (Swan Coastal Plain only) Expert recommendation (indicator of ecosystem health) Resource limited (ground-foraging insectivore) Area limited (fragmentation) Expert recommendation (numbers possibly declining) Endemic, Priority 3 (DEC), Re - source limited (nesting hollows) Expert recommendation (numbers possibly declining) Endemic, Vulnerable (Federal), Rare (State), Expert recommenda tion (numbers possibly declining) Endemic, Rare (State), Endangered (Federal), Expert recommendation (numbers possibly declining) Rare (State), Vulnerable (Federal), Expert recommendation (numbers possibly declining) Vulnerable (Federal), Priority 4 (DEC) Common Name White-browed babbler (Western wheatbelt) Western whipbird (western heath sp.) Western whipbird (southern WA subsp.) Red-eared firetail Freckled duck Southern emu-wren Grey currawong Terek sandpiper Masked owl Banded lapwing Burrowing bettong (or boodie; Shark Bay sp.) Brush-tailed bettong (woylie) Mulgara (crest-tailed mulgara, minyiminyi) Princess parrot
Species Name Pomatostomus superciliosus ashbyi Psophodes nigrogularis nigrogularis Psophodes nigrogularis oberon Stagonopleura oculata Stictonetta naevosa Stipiturus malachurus Strepera versicolor Tringa cinerea (Xenus cinereus) Tyto novaehollandiae novaehollandiae Vanellus tricolor Bettongia lesueur Bettongia pencillata ogilbyi Dasycercus cristicauda Polytelis alexandrae Category
Birds Birds Birds Birds Birds Birds Birds Birds Birds Birds Mammals Mammals Mammals Birds Marxan ID Marxan 1077 1079 1078 1080 1101 1081 1082 1092 1083 1090 2009 2010 2011 1076
South West Australian Ecoregion initiative
178 Target
0.9 0.45 0.3 0.45 0.75 0.45 0.45 0.75 0.45 0.9 0.75 Endemic
0.15 0.15 0.00 0.15 0.15 0.15 0.15 0.00 0.15 0.15 0.00 Listed
0.45 0.00 0.00 0.00 0.45 0.00 0.00 0.45 0.00 0.45 0.45 AOR
0.15 0.15 0.15 0.15 0 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - - - - Reasoning for target Endemic, Priority 4 (DEC), Expert recommendation (threatened) Priority 4 (DEC), Expert recom mendation (numbers possibly declining) Endemic, Priority 5 (DEC), Expert recommendation (numbers pos sibly declining) Endemic, Rare (State), Vulnerable (State) Endemic, Priority 5 (DEC), Expert recommendation (numbers pos sibly declining) Endemic, Priority 4 (DEC), Expert recommendation (numbers pos sibly declining) Rare (State), Vulnerable (Federal), Expert recommendation (numbers possibly declining) Endemic, Expert recommendation (AB) Endemic, Vulnerable (Federal), Rare (State), Expert recommenda tion (numbers possibly declining) Rare (State), Endangered (Federal), Expert recommendation (numbers possibly declining) Endemic, Rare (State), Vulnerable (Federal), Expert recommendation (numbers possibly declining) Common Name Western false pipistrelle Water-rat (rakali) Quenda Banded hare-wallaby (mernine) Tammar wallaby Western brush wallaby Bilby (dalgyte, ninu) South-western free-tailed bat Numbat Southern marsupial mole (itjaritjari) Western quoll (chuditch)
Species Name Falsistrellus mckenziei Hydromys chrysogaster Isoodon obesulus fusciventer Lagostrophus fasciatus fasciatus Macropus eugenii derbianus Macropus irma Macrotis lagotis Mormopterus planiceps Myrmecobius fasciatus Notoryctes typhlops Dasyurus geoffroii Category
Mammals Mammals Mammals Mammals Mammals Mammals Mammals Mammals Mammals Mammals Mammals Marxan ID Marxan 2007 2035 2033 2036 2034 2031 2013 2030 2003 2014 2012
Appendices
179 Target
0.9 0.75 0.45 0.9 0.75 0.9 0.9 0.9 0.9 0.45 Endemic
0.15 0.00 0.15 0.15 0.00 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.45 0.00 0.45 0.45 0.45 0.45 0.45 0.45 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - - Reasoning for target Rare (State), Vulnerable (Federal), Expert recommendation (numbers possibly declining) tion (numbers possibly declining) sibly declining) Endemic, Rare (State), Endangered (Federal), Expert recommendation (numbers possibly declining) Rare (State), Vulnerable (Federal), Expert recommendation (numbers possibly declining) Endemic, Rare (State), Endangered (Federal), Expert recommendation (numbers possibly declining) Endemic, Expert recommendation (numbers possibly declining), Rare (State), Vulnerable (DEC) Endemic, Critically Endangered (Federal), Rare (State), Expert rec ommendation (numbers possibly declining) Endemic, Rare (State), Vulnerable (Federal), Expert recommendation (numbers possibly declining) Endemic, Expert recommendation (numbers possibly declining) Endemic, Rare (State), Vulnerable (Federal), Expert recommendation (threatened), Expert recommenda Endemic, Priority 4 (DEC), Expert recommendation (numbers pos Common Name Heath rat Dibbler Black-flanked rock-wallaby Red-tailed phascogale Brush-tailed phascogale Gilbert’s potoroo Western ringtail possum Ash-grey mouse Djoongari Greater long-eared bat sp. timoriensis
Species Name Pseudomys shortridgei Parantechinus apicalis Petrogale lateralis lateralis Phascogale calura Phascogale tapoatafa (sp.. WAM M434) Potorous gilberti Pseudocheirus occidentalis Pseudomys albocinereus Pseudomys fieldi Nyctophilus Category
Mammals Mammals Mammals Mammals Mammals Mammals Mammals Mammals Mammals Mammals Marxan ID Marxan 2027 2015 2017 2018 2019 2004 2020 2029 2028 2008
South West Australian Ecoregion initiative
180 Target
0.45 0.9 0.45 0.45 0.45 0.75 0.45 0.75 0.3 0.9 0.75 0.45 0.45 Endemic
0.15 0.15 0.15 0.15 0.15 0.00 0.15 0.15 0.00 0.15 0.00 0.15 0.15 Listed
0.00 0.45 0.00 0.00 0.00 0.45 0.00 0.45 0.00 0.45 0.45 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - - Reasoning for target Endemic, Expert recommendation (numbers possibly declining), Vul nerable (Federal), Rare (State) Endemic, Expert recommendation (numbers possibly declining) Endemic, Expert recommendation (numbers possibly declining) Endemic, Expert recommendation (numbers possibly declining) Rare (State), Endangered (Federal), Process limited (fire) Endemic, Expert recommendation (numbers possibly declining) Endemic, Priority 3 (DEC) Expert recommendation (threaten ing process) Endemic, Expert recommendation (restricted distribution), Priority 1 (DEC) Expert recommendation (almost extinct), Priority 1 (DEC), Other specially protected (State) Endemic, Expert recommendation (restricted distribution) Endemic, Expert recommendation (confined to granite outcrops) Endemic, Priority 4 (DEC), Endem ic, Expert recommendation (rare), Expert recommendation (numbers possibly declining) Common Name Quokka Gilbert’s dunnart White-tailed dunnart Grey-bellied dunnart Sandhill dunnart Honey possum Southern death adder Stimpson’s python Shark Bay worm-lizard Woma Mckenzie’s dragon Ornate rock dragon Western mouse
Species Name Setonix brachyurus Sminthopsis gilberti Sminthopsis granulipes Sminthopsis griseoventer Sminthopsis psammophila Tarsipes rostratus Acanthophis antarcticus Antaresia stimsoni stimsoni Aprasia haroldi Aspidites ramsayi Ctenophorus mckenziei Ctenophorus ornatus Pseydomys occidentalis Category
Mammals Mammals Mammals Mammals Mammals Mammals Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Mammals Marxan ID Marxan 2002 2021 2022 2023 2024 2001 3001 3002 3003 3004 3005 3006 2032
Appendices
181 Target
0.45 0.45 0.45 0.9 0.45 0.45 0.9 0.75 0.45 0.75 0.45 0.75 0.45 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.00 0.00 0.00 0.45 0.00 0.00 0.45 0.45 0.00 0.45 0.00 0.45 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0 0.15 0 0.15 0 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - Reasoning for target Endemic, Expert recommendation (restricted distribution), Priority 4 (DEC) Endemic, Expert recommendation (restricted distribution) Endemic, Priority 3 (DEC), Expert recommendation (restricted distri bution) Endemic, Expert recommendation (restricted distribution) Endemic, Expert recommendation (restricted distribution) Endemic, Rare (State), Vulnerable (Federal), Expert recommendation (restricted distribution) Endemic, Rare (State), Vulnerable (State) Endemic, Expert recommendation (restricted distribution) Endemic, Priority 1 (DEC) Endemic, Area limited (confined to wetlands) Endemic, Rare (State), Endangered (Federal), Vulnerable (State) Endemic, Priority 4 (DEC) Endemic, Expert recommendation (restricted distribution) Common Name Dell’s skink Jewelled sandplain skink (non-Swan Coastal Plain sp.) Jewelled sandplain skink (Swan Coastal Plain sp.) Wide-striped skink Shark Bay south-west skink Hamelin ctenotus Gilled slender blue-tongue Javelin legless lizard Javelin legless lizard Mourning skink Western spiny-tailed skink Houtman Abrolhos spiny-tailed skink Skink OTHER gemmula
Species Name Ctenotus delli Ctenotus Ctenotus gemmula SCP Ctenotus xenopleura Ctenotus youngsoni Ctenotus zastictus Cyclodomorphus branchialis Delma concinna major Delma concinna major (Aclys concinna major) Egernia luctuosa Egernia stokesii badia Egernia stokesii Ctenotus alleni Category
Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Marxan ID Marxan 3008 3009 3010 3011 3012 3013 3014 3015 3034 3016 3017 3035 3007
South West Australian Ecoregion initiative
182 Target
0.9 0.45 0.9 0.9 0.9 0.9 0.45 0.9 0.9 0.9 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.00 0.45 0.45 0.45 0.45 0.00 0.45 0.45 0.45 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target Endemic, Expert recommendation (restricted distribution) Endemic, Expert recommendation (restricted distribution), Priority 2 (DEC) Endemic, Expert recommendation (restricted distribution), Priority 1 (DEC) Endemic, Expert recommendation (restricted distribution), Priority 3 (DEC) Endemic, Expert recommendation (restricted distribution), Priority 3 (DEC) Endemic, Expert recommendation (restricted distribution) Endemic, Expert recommendation (restricted distribution), Priority 2 (DEC) Endemic, Expert recommendation (restricted distribution), Priority 1 (DEC) Endemic, Expert recommendation (restricted distribution), Priority 3 (DEC) Endemic, Expert recommendation (restricted distribution), Priority 2 (DEC) Common Name Bight slider Two-toed earless skink Skink Taper-tailed west-coast slider Lined skink Skink Dotty-tailed robust slider Ravensthorpe Range slider Yuna broad-blazed slider Little brown snake
Species Name Lerista arenicola Lerista axillaris Lerista eupoda Lerista humphriesi Lerista lineata Lerista macropisthopus galea Lerista puncticauda Lerista viduata Lerista yuna Elapognathus minor Category
Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Reptiles Marxan ID Marxan 3019 3020 3021 3022 3023 3024 3025 3026 3027 3018
Appendices
183 Target
0.9 0.9 0.9 0.9 0.9 0.75 0.45 0.9 0.45 0.9 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.00 0.45 0.00 0.45 AOR
0.15 0.15 0.15 0.15 0.15 0 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - Reasoning for target Endemic, Expert recommendation (restricted distribution), Priority 3 (DEC) Endemic, Expert recommendation (restricted distribution), Priority 1 (DEC) Endemic, Expert recommendation (restricted distribution), Priority 3 (DEC) Endemic, Expert recommendation (restricted distribution), Priority 3 (DEC) Endemic, Rare (State), Critically Endangered (Federal) Endemic, Expert recommendation (restricted distribution) Endemic, Rare (State), Endangered (Federal), Expert recommendation (Workshop 2009) Endemic, Priority 4 (DEC), Expert recommendation (restricted distri bution) Endemic, Rare (State), Vulnerable (Federal), Area limited (habitat surrounded by farm land), Expert recommendation (workshop 2009) Endemic, Expert recommendation (restricted distribution), Priority 4 (DEC), Other specially protected (State) Common Name Black-striped snake Spectacled hooded snake Lake Cronin snake Slender slider Western swamp tortoise Northern sandhill frog White-bellied frog Nornalup frog (Walpole Frog) Orange-bellied frog (yellow-bellied frog) Carpet python
Species Name Neelaps calonotos Parasuta spectabilis bushi Paroplocephalus atriceps Pletholax gracilis edelensis Pseudemydura umbrina Arenophryne rotunda Geocrinia alba Geocrinia lutea Geocrinia vitellina Morelia spilota imbricata Category
Reptiles Reptiles Reptiles Reptiles Reptiles Amphibians Amphibians Amphibians Amphibians Reptiles Marxan ID Marxan 3029 3030 3031 3032 3033 4006 4001 4007 4002 3028
South West Australian Ecoregion initiative
184 Target
0.45 0.45 0.9 0.75 0.45 0.45 0.45 0.45 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.00 0.00 0.45 0.45 0.00 0.00 0.00 0.00 0.45 0.45 AOR
0.15 0.15 0.15 0 0.15 0.15 0.15 0.15 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - Reasoning for target Endemic, Expert recommendation (workshop 2009) Endemic, Rare (State), Endangered (Federal), Expert recommendation (workshop 2009) Endemic (DEC listing), Vulnerable (State) Endemic, Expert recommendation (workshop 2009) Endemic (FloraBase), Expert recommendation (surrogate for freshwater claypans) Endemic (FloraBase), Expert rec Endemic, Expert recommendation (workshop 2009) Expert recommendation (endemic), Priority 1 (DEC) Expert recommendation (endemic), Priority 2 (DEC) Endemic, Expert recommendation (workshop 2009), area limited (endangered habitat) ommendation (surrogate) Common Name Turtle frog Sunset frog Pannikin Plains cave isopod Long headed goby (or big goby) Wallaby grass Nightfish Land snail Land snail Western spotted froglet
Species Name Myobatrachus gouldii Spicospina flammocaerulea Abelaioscia troglogytes Afurcagobius suppositus Amphibromus nervosus Baumea articulata Bostockia porosa Bothriembryon bradshawi Bothriembryon brazieri Heleioporus albopunctatus Category
Amphibians Amphibians Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Amphibians Marxan ID Marxan 4004 4003 5051 5001 5033 5028 5002 5044 5045 4005
Appendices
185 Target
0.75 0.75 0.75 0.75 0.75 0.75 0.6 0.75 0.45 0.45 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.00 0.15 0.15 0.15 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.00 0.00 AOR
0 0 0 0 0 0 0 0 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15
Reasoning for target Expert recommendation (endemic), Priority 2 (DEC) Expert recommendation (endemic), Priority 1 (DEC) (NOTE: On DEC “Presumed to be extinct” list) Expert recommendation (endemic), Priority 1 (DEC) Expert recommendation (endemic), Priority 1 (DEC) Expert recommendation (endemic), Priority 1 (DEC) Priority 1 (DEC) Expert recommendation (endemic), Priority 1 (DEC) Endemic, Indicator species (healthy ecosystem) Endemic, Indicator species (healthy ecosystem) Expert recommendation (endemic), Priority 2 (DEC) Common Name Land snail Land snail Fairy shrimp Fairy shrimp Fairy shrimp Fairy shrimp Crustacean Freshwater crayfish (Gilgie) Freshwater crayfish (Koonac) Land snail
Species Name Bothriembryon irvineanus Bothriembryon perobesus Branchinella basispina Branchinella denticulata Branchinella simplex Branchinella wellardi Calamoecia elongata Cherax crassimanus Cherax glaber Bothriembryon glauerti Category
Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Marxan ID Marxan 5047 5048 5040 5041 5042 5043 5037 5020 5022 5046
South West Australian Ecoregion initiative
186 Target
0.45 0.45 0.9 0.45 0.75 0.75 0.45 0.9 0.9 0.9 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.00 0.00 0.45 0.00 0.45 0.45 0.00 0.45 0.45 0.45 AOR
0.15 0.15 0.15 0.15 0 0 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 -
Reasoning for target (healthy ecosystem) Endemic, Indicator species (healthy ecosystem) Endemic, Rare (State), Critically Endangered (Federal), Indicator species (healthy ecosystem) Endemic, Expert recommendation (workshop 2009) Expert recommendation (endemic), Priority 1 (DEC) Expert recommendation (endemic), Priority 1 (DEC) Endemic, Expert recommendation (workshop 2009) Endemic, Rare (State), Critically Endangered (Federal), Indicator species (healthy ecosystem) Endemic, Rare (State), Critically Endangered (Federal), Indicator species (healthy ecosystem) Endemic, Rare (State), Vulnerable (State), Endangered (Federal), In dicator species (healthy ecosystem) Endemic, Indicator species Common Name Freshwater Crayfish (Gilgie) Margaret River marron (or hairy marron) Deep hardyhead Planktonic crustaceans (rockpools sp.) Planktonic crustaceans Western pygmy perch Margaret River burrowing crayfish Dunsborough burrowing crayfish Walpole burrowing crayfish Freshwater Crayfish (Koonac)
Species Name Cherax quinquecarinatus Cherax tenuimanus Craterocephalus cuneiceps Daphnia jollyi Daphnia occidentalis Edelia vittata Engaewa pseudoreducta Engaewa reducta Engaewa walpolea Cherax plebejus (preissii) Category
Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Marxan ID Marxan 5025 5015 5003 5038 5039 5004 5016 5017 5018 5023
Appendices
187 Target
0.3 0.45 0.6 0.3 0.45 0.9 0.9 0.9 0.75 0.75 Endemic
0.00 0.15 0.00 0.00 0.15 0.15 0.15 0.15 0.00 0.15 Listed
0.00 0.00 0.45 0.00 0.00 0.45 0.45 0.45 0.45 0.45 AOR
0.15 0.15 0 0.15 0.15 0.15 0.15 0.15 0.15 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - - Reasoning for target Endemic (FloraBase), Expert rec Priority 2 (DEC) Expert recommendation (workshop 2009) Endemic, Expert recommendation (workshop 2009) Endemic, Rare (State), Critically Endangered (Federal), Expert rec ommendation (workshop 2009) Endemic, Rare (State), Vulnerable (State), Expert recommendation (workshop 2009) Endemic, Priority 3 (DEC), Expert recommendation (workshop 2009) Area Limited (breeding), Priority 1 (DEC) Endemic (DEC listing), Priority 2 (DEC) Expert recommendation (surrogate for freshwater claypans in Northern Wheatbelt) ommendation (surrogate) Common Name Crustacean Common jollytail Western minnow Trout minnow (spotted minnow) Mud minnow Black stripe minnow Pouched lamprey Freshwater snail Cane grass
Species Name Eucalyptus occidentalis Fibulacamptus bisetosus Galaxias maculatus Galaxias occidentalis Galaxias truttaceus hesperius Galaxiella munda Galaxiella nigrostriata Geotria australis Glacidorbis occidentalis Eragrostis australasica Category
Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Marxan ID Marxan 5030 5036 5005 5006 5007 5008 5009 5026 5049 5032
South West Australian Ecoregion initiative
188 Target
0.75 0.9 0.45 0.45 0.3 0.9 0.9 0.3 0.45 0.45 Endemic
0.15 0.15 0.15 0.15 0.00 0.15 0.15 0.00 0.15 0.15 Listed
0.45 0.45 0.00 0.00 0.00 0.45 0.45 0.00 0.00 0.00 AOR
0 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - Reasoning for target Endemic, Priority 2 (DEC), Expert recommendation (workshop 2009) Endemic, Expert recommendation (workshop 2009) Endemic (DEC FloraBase), Expert recommendation (surrogate) Expert recommendation (sur rogate for fresh water and granite outcrops) Endemic, Rare (State), Vulnerable (Federal), Expert recommendation (workshop 2009) Endemic (expert opinion - AP), Priority 1 (DEC), Process limited (salinity) Expert recommendation (workshop 2009) Endemic, Expert recommendation (workshop 2009) Endemic (DEC FloraBase), Expert recommendation (surrogate) Endemic (DEC listing), Critically Endangered (State) Common Name Golden carp gudgeon Salamanderfish Water milfoil Balston’s pygmy perch Salt brine shrimp (inland sp.) Swan River goby Freshwater cobbler Crystal Cave crangonyctoid
Species Name Hypseleotris aurea Lepidogalaxias salamandroides Melaleuca strobophylla Myriophyllum Nannatherina balstoni Parartemia contracta Pseudogobius olorum Tandanus bostocki Triglochin huegelii (last name was incorrect and spelt huegelli - changed as per FloraBase listing) Hurleya sp (WAM642-97) Category
Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Inland Water Species Marxan ID Marxan 5010 5011 5029 5034 5012 5035 5014 5013 5031 5052
Appendices
189 Target
0.45 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.3 0.9 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.00 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.00 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.00 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0.15 0 0 0 0 0 0 0 0.15 0.15 0 0 0 0 0 0 0 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 - Reasoning for target Endemic, Priority 2 (DEC) Expert recommendation (endemic), Rare (State), Endangered (State) Endemic, Priority 1 (DEC) Expert recommendation (endemic), Rare (State), Vulnerable (State) Expert recommendation (endemic), Rare (State), Vulnerable (State) Endemic, Priority 2 (DEC) Endemic, Priority 3 (DEC) Expert recommendation (surro gates for good habitat) Endemic, Expert recommendation (species request), Priority 1 (DEC) Expert recommendation (endemic), Rare (State), Endangered (State) Expert recommendation (endemic), Rare (State), Vulnerable (State) Endemic, Priority 2 (DEC) Endemic, Priority 3 (DEC) Endemic, Priority 3 (DEC) Expert recommendation (endemic), Rare (State), Vulnerable (State) Endemic, Priority 1 (DEC) Endemic, Priority 1 (DEC) Endemic, Priority 1 (DEC) Priority 4 (DEC) Common Name Poorginup Swamp watermite Tree-stem trapdoor spider Trapdoor spider Western archaeid spider Cape Leeuwin freshwater snail Scorpionfly Cricket Snails Eula’s planthopper Western Australian pill millipede Sarah’s pill millipede Cricket Cricket Bee Shield-backed trapdoor spider Cricket Butterfly Cricket Freshwater mussel
Species Name Acercella poorginup Aganippe castellum Arbanitis inornatus Austrarchaea mainae Austroassiminea letha Austromerope poultoni Austrosaga spinifer Bothriembryon () Budginmaya eulae Cynotelopus notabilis Epicyliosoma sarahae Hemisaga lucifer Hemisaga vepreculae Hylaeus globuliferus Idiosoma nigrum Ixalodectes flectocercus Jalmenus aridus Kawaniphila pachomai Westralunio carteri Category
Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Inland Water Species Marxan ID Marxan 6025 6001 6026 6002 6003 6027 6028 5053 6024 6004 6005 6029 6030 6031 6006 6032 6033 6034 5050
South West Australian Ecoregion initiative
190 Target
0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.3 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.00 0.15 0.15 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.00 0.45 0.45 AOR
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.15 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target Endemic, Priority 2 (DEC) Endemic, Priority 3 (DEC) Expert recommendation (endemic), Rare (State), Endangered (State) Expert recommendation (endemic), Rare (State), Endangered (State) Expert recommendation (endemic), Rare (State), Endangered (State) Expert recommendation (endemic), Rare (State), Critically Endangered (Federal), Endangered (State) Expert recommendation (endemic), Rare (State), Critically Endangered (State) Endemic, Priority 3 (DEC) Endemic, Priority 1 (DEC) Endemic, Priority 2 (DEC) Endemic, Priority 1 (DEC) Expert recommendation (endemic), Rare (State), Critically Endangered (State) Expert recommendation (refugia) Expert recommendation (endemic), Rare (State), Endangered (Federal) Expert recommendation (endemic), Rare (State), Vulnerable (State) Expert recommendation (endemic), Rare (State), Critically Endangered (State) Endemic, Priority 2 (DEC) Common Name Bee Bee Bee Stirling Range trapdoor spider Tingle trapdoor spider Bee Arid bronze azure butterfly Cricket Cricket Cricket Cricket Stirling Range rhytidid snail Graceful sun moth Mullamullang cave spider Yorkrakine trapdoor spider Doeg’s watermite doegi
Species Name Leioproctus bilobatus Leioproctus contrarius Leioproctus douglasiellus Moggridgea sp. Moggridgea tingle Neopasiphae simplicior Ogyris subterrestris petrina Pachysaga munggai Pachysaga strobila Phasmodes jeeba Psacadonotus seriatus Pseudohydraphantes Rhytidid species (WAM 2295-69) South facing slopes Synemon gratiosa Tartarus mullamullangensis Kwonkan eboracum Category
Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Marxan ID Marxan 6035 6036 6008 6009 6010 6011 6012 6037 6038 6039 6040 6041 6020 6023 6013 6014 6007
Appendices
191 Target
0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 1 0.45 0.45 0.45 0.45 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0 0.00 0.00 0.00 0.00 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.00 0.00 0.00 0.00 AOR
0 0 0 0 0 0 0 0 0 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.4 0.3 0.3 0.3 0.3 Reasoning for target Expert recommendation (endemic), Rare (State), Vulnerable (State) Expert recommendation (endemic), Rare (State), Vulnerable (State) Expert recommendation (endemic), Rare (State), Critically Endangered (State) Endemic, Priority 3 (DEC) Endemic, Priority 1 (DEC) Endemic, Priority 1 (DEC) Expert recommendation (endemic), Rare (State), Vulnerable (State) Endemic, Priority 1 (DEC) Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation (endemic), Rare (State), Vulnerable (State) Common Name Nurina cave spider Thampanna cave spider Minnivale trapdoor spider Mogumber bush cricket Cricket Beetle Nullarbor Cave trapdoor spider Cricket Channels Areas (listed) All Murdoch Sink cave spider
Species Name Tartarus nurinensis Tartarus thampannensis Teyl sp. (By Main 953/2683, 1984/13) Throscodectes xederoides Throscodectes xiphos Trichosternus relictus Troglodiplura lowryi Windbalea viride Channels Areas (listed) Channels Areas (non- listed) Avon Channels Areas (non-listed) Coolgardie Channels Areas (non-listed) Esperance Channels Areas (non-listed) Jarrah Tartarus murdochensis Category
Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Invertebrates Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Invertebrates Marxan ID Marxan 6016 6017 6018 6042 6043 6044 6019 6045 7092 7023 7024 7025 7026 6015
South West Australian Ecoregion initiative
192 Target
0.45 0.45 1 0.8 0.8 0.8 0.8 0.8 0.8 0.8 Endemic
0.00 0.00 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Listed
0.00 0.00 0.45 0.00 0.00 0.00 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.3 0.3 0.4 0.65 0.65 0.65 0.65 0.65 0.65 0.65 Reasoning for target Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Common Name Channels Major Rivers (listed) All
Species Name Channels Areas (non-listed) Swan Coastal Plain Channels Major Rivers (listed) Channels Major Rivers (non-listed) Avon Channels Major Rivers (non-listed) Carnarvon Channels Major Rivers (non-listed) Coolgardie Channels Major Rivers (non-listed) Esperance Channels Major Rivers (non-listed) Geraldton Channels Major Rivers (non-listed) Jarrah Channels Major Rivers (non-listed) Mallee Channels Areas (non-listed) Mallee Category
Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Marxan ID Marxan 7028 7093 7029 7030 7031 7032 7033 7034 7035 7027
Appendices
193 Target
0.8 0.8 0.8 0.8 0.8 1 0.3 0.3 0.3 0.3 Endemic
0.00 0.00 0.00 0.00 0.00 0 0.00 0.00 0.00 0.00 Listed
0.00 0.00 0.00 0.00 0.00 0.45 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.65 0.65 0.65 0.65 0.65 0.4 0.15 0.15 0.15 0.15 Reasoning for target Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Common Name Channels Minor Rivers (listed) All
Species Name Channels Major Rivers (non-listed) Nullarbor Channels Major Rivers (non-listed) Swan Coastal Plain Channels Major Rivers (non-listed) Warren Channels Major Rivers (non-listed) Yalgoo Channels Minor Rivers (listed) Channels Minor Rivers (non-listed) Avon Channels Minor Rivers (non-listed) Coolgardie Channels Minor Rivers (non-listed) Esperance Channels Minor Rivers (non-listed) Geraldton Channels Major Rivers (non-listed) Murchison Category
Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Marxan ID Marxan 7037 7038 7039 7040 7094 7043 7044 7045 7046 7036
South West Australian Ecoregion initiative
194 Target
0.3 0.3 0.3 0.3 0.3 0.3 0.3 1 0.9 0.9 Endemic
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0 0.00 0.00 Listed
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.45 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.4 0.75 0.75 Reasoning for target Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Common Name Estuaries (listed) All
Species Name Channels Minor Rivers (non-listed) Mallee Channels Minor Rivers (non-listed) Murchison Channels Minor Rivers (non-listed) Nullarbor Channels Minor Rivers (non-listed) Swan Coastal Plain Channels Minor Rivers (non-listed) Warren Channels Minor Rivers (non-listed) Yalgoo Estuaries (listed) Estuaries (non-listed) Esperance Estuaries (non-listed) Geraldton Channels Minor Rivers (non-listed) Jarrah Category
Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Marxan ID Marxan 7048 7049 7050 7051 7052 7053 7095 7055 7056 7047
Appendices
195 Target
0.9 0.9 0.9 0.45 0.45 0.45 0.45 0.45 0.45 0.45 Endemic
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Listed
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.75 0.75 0.75 0.3 0.3 0.3 0.3 0.3 0.3 0.3 Reasoning for target Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Common Name
Species Name Estuaries (non-listed) Swan Coastal Plain Estuaries (non-listed) Warren Other Caves (non-listed) Coolgardie Other Caves (non-listed) Geraldton Other Caves (non-listed) Hampton Other Caves (non-listed) Jarrah Other Caves (non-listed) Mallee Other Caves (non-listed) Nullarbor Other Caves (non-listed) Swan Coastal Plain Estuaries (non-listed) Jarrah Category
Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Marxan ID Marxan 7058 7059 7083 7084 7085 7086 7087 7088 7089 7057
South West Australian Ecoregion initiative
196 Target
0.45 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 Endemic
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Listed
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.3 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Reasoning for target Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Common Name Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points
Species Name Other Water Bodies Other Water Bodies Other Water Bodies Other Water Bodies Other Water Bodies Other Water Bodies (non-listed) Great Victoria Desert Other Water Bodies Other Water Bodies Other Water Bodies Other Caves (non-listed) Warren (non-listed) Avon (non-listed) Carnarvon (non-listed) Coolgardie (non-listed) Esperance (non-listed) Geraldton (non-listed) Hampton (non-listed) Jarrah (non-listed) Mallee Category
Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Marxan ID Marxan 7069 7070 7071 7072 7073 7074 7075 7076 7077 7090
Appendices
197 Target
0.9 0.9 0.9 0.9 0.9 1 0.45 0.45 0.45 0.45 Endemic
0.00 0.00 0.00 0.00 0.00 0 0.00 0.00 0.00 0.00 Listed
0.00 0.00 0.00 0.00 0.00 0.45 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.75 0.75 0.75 0.75 0.75 0.4 0.3 0.3 0.3 0.3 Reasoning for target Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Common Name Wetlands (listed) All Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points Includes springs, waterholes and water points
Species Name Other Water Bodies Other Water Bodies Other Water Bodies Other Water Bodies Wetlands (listed) Wetlands (non-listed) Avon Wetlands (non-listed) Carnarvon Wetlands (non-listed) Coolgardie Wetlands (non-listed) Esperance Other Water Bodies (non-listed) Murchison (non-listed) Nullarbor (non-listed) Swan Coastal Plain (non-listed) Warren (non-listed) Yalgoo Category
Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Marxan ID Marxan 7079 7080 7081 7082 7091 7008 7009 7010 7011 7078
South West Australian Ecoregion initiative
198 Target
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 Endemic
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Listed
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 Reasoning for target Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Expert recommendation Common Name
Species Name Wetlands (non-listed) Great Victoria Desert Wetlands (non-listed) Hampton Wetlands (non-listed) Jarrah Wetlands (non-listed) Mallee Wetlands (non-listed) Murchison Wetlands (non-listed) Nullarbor Wetlands (non-listed) Swan Coastal Plain Wetlands (non-listed) Warren Wetlands (non-listed) Yalgoo Wetlands (non-listed) Geraldton Category
Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Marxan ID Marxan 7013 7014 7015 7016 7017 7018 7019 7020 7021 7012
Appendices
199 Target
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.75 0.75 0.75 0.75 0.75 Endemic
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.15 0.15 0.15 0.15 0.15 Listed
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.45 0.45 0.45 0.45 0.45 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0 0 0 0 0 Base 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.15 0.15 0.15 0.15 0.15 Reasoning for target Expert recommendation (surrogate for biodiversity) Expert recommendation (surrogate for biodiversity) Expert recommendation (surrogate for biodiversity) Expert recommendation (surrogate for biodiversity) Expert recommendation (surrogate for biodiversity) Expert recommendation (surrogate for biodiversity) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert Recommendation (endemic) Expert recommendation (surrogate for biodiversity) Common Name
Species Name Wild Rivers Esperance Wild Rivers Great Victoria Desert Wild Rivers Jarrah Wild Rivers Murchison Wild Rivers Nullarbor Wild Rivers Warren Acacia aprica Acacia cochlocarpa subsp. cochlocarpa Acacia cochlocarpa subsp. velutinosa Acacia imitans Acacia pharangites Wild Rivers Coolgardie Category
Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Inland Water Bodies Flora Flora Flora Flora Flora Inland Water Bodies Marxan ID Marxan 7002 7003 7004 7005 7006 7007 8001 8002 8003 8004 8005 7001
South West Australian Ecoregion initiative
200 Target
0.45 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.00 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0.15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target Expert recommendation (Endemic), Expert recommendation (Endemic), Indicator species (valuable habitat - banksia woodland) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert Recommendation (endemic) Common Name Candlestick banksia
Species Name Banksia brownii Banksia fuscobractea Banksia ionthocarpa subsp. chrysophoenix Banksia ionthocarpa subsp. ionthocarpa Banksia montana Acacia subflexuosa subsp. capillata Acacia unguicula Acacia vassalii Acacia volubilis Adenanthos pungens subsp. effusus Andersonia annelsii Andersonia axilliflora Banksia anatona Banksia attenuata Acacia sciophanes Category
Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Marxan ID Marxan 8015 8016 8017 8018 8019 8007 8008 8009 8010 8011 8012 8013 8014 8135 8006
Appendices
201 Target
0.75 0.45 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.00 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0 0.15 0 0 0 0 0 0 0 0 0 0 0 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target Expert recommendation (Endemic), Indicator species (condition), Process limited (fire) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) Common Name Brown boronia
Species Name Boronia megastigma Brachyscias verecundus Caladenia busselliana Caladenia caesarea subsp. maritima Caladenia drakeoides Caladenia elegans Caladenia graniticola Caladenia huegelii Caladenia melanema Caladenia procera Caladenia viridescens Caladenia williamsiae Calytrix breviseta subsp. breviseta Chorizema humile Banksia mucronulata subsp. retrorsa Category
Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Marxan ID Marxan 8134 8021 8022 8023 8024 8025 8026 8027 8028 8029 8030 8031 8032 8033 8020
South West Australian Ecoregion initiative
202 Target
0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert Recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert Recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) Common Name
Species Name Cyphanthera odgersii subsp. occidentalis Darwinia carnea Darwinia sp. Williamson (G.J. Keighery 12717) Daviesia bursarioides Daviesia cunderdin Daviesia euphorbioides Daviesia glossosema Daviesia microcarpa Daviesia ovata Daviesia pseudaphylla Drakaea confluens Drakaea elastica Drakaea isolata Epiblema grandiflorum var. cyaneum Conostylis setigera subsp. dasys Category
Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Marxan ID Marxan 8035 8036 8037 8038 8039 8040 8041 8042 8043 8044 8045 8046 8047 8048 8034
Appendices
203 Target
0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert Recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) DEC RPF (Rare); Expert recommendation (endemic) Common Name
Species Name Eremophila glabra subsp. chlorella Eremophila koobabbiensis Eremophila lactea Eremophila nivea Eremophila pinnatifida Eremophila rostrata subsp. trifida Eremophila scaberula Eremophila subteretifolia Eremophila verticillata Eucalyptus absita Eucalyptus balanites Eucalyptus cuprea Eucalyptus dolorosa Eucalyptus impensa Eremophila ciliata Category
Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Marxan ID Marxan 8050 8051 8052 8053 8054 8055 8056 8057 8058 8059 8060 8061 8062 8063 8049
South West Australian Ecoregion initiative
204 Target
0.45 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.3 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.00 Listed
0.00 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.00 AOR
0.15 0 0 0 0 0 0 0 0 0 0 0 0.15 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target Expert Recommendation (endemic), Expert Recommendation (endemic), Expert recommendation (iconic Area limited (agriculture, species), weeds) flooding, dieback, DEC RPF (rare); Expert Recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert Recommendation (endemic) Expert recommendation (iconic species), Indicator species (agriculture-rich soils), Area limited (high turnover) Common Name Flat-topped yate York gum
Species Name Eucalyptus phylacis Gastrolobium diabolophyllum Gastrolobium glaucum Gastrolobium hamulosum Gastrolobium luteifolium Gastrolobium papilio Grevillea acropogon Grevillea althoferorum subsp. althoferorum Grevillea althoferorum subsp. fragilis Grevillea batrachioides Grevillea brachystylis subsp. Busselton (G.J. Kei) Eucalyptus occidentalis Eucalyptus loxophleba Category
Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Marxan ID Marxan 8064 8065 8066 8067 8068 8069 8070 8071 8072 8073 8074 8136 8137
Appendices
205 Target
0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) Common Name
Species Name Grevillea calliantha Grevillea curviloba subsp. curviloba Grevillea dryandroides subsp. dryandroides Grevillea humifusa Grevillea maccutcheonii Grevillea maxwellii Grevillea phanerophlebia Grevillea pythara Grevillea scapigera Guichenotia seorsiflora Gyrostemon reticulatus Haloragis platycarpa Hemiandra gardneri Hemiandra rutilans Grevillea bracteosa subsp. howatharra Category
Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Marxan ID Marxan 8076 8077 8078 8079 8080 8081 8082 8083 8084 8085 8086 8087 8088 8089 8075
South West Australian Ecoregion initiative
206 Target
0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) Common Name
Species Name Hybanthus cymulosus Isopogon robustus Isopogon uncinatus Jacksonia pungens Lambertia echinata subsp. echinata Lambertia echinata subsp. occidentalis Lambertia fairallii Lambertia orbifolia subsp. orbifolia Lasiopetalum pterocarpum Latrobea colophona Leucopogon gnaphalioides Leucopogon spectabilis Lysiosepalum abollatum Marianthus paralius Hemigenia ramosissima Category
Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Marxan ID Marxan 8091 8092 8093 8094 8095 8096 8097 8098 8099 8100 8101 8102 8103 8104 8090
Appendices
207 Target
0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0 0 0 0 0 0 0 0 0 0 0 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) Common Name
(S.D.
Species Name Myoporum turbinatum Persoonia micranthera Petrophile latericola Philotheca basistyla Pityrodia axillaris Pityrodia scabra Pterostylis sp. Northampton Rhacocarpus rehmannianus var. webbianus Rhizanthella gardneri Ricinocarpos brevis Rulingia sp.Trigwell Bridge (R.Smith s.n. 20.6.89) Scaevola macrophylla Marianthus sp. Bremer (N. Gibson & M. Lyons 1776) Hopper 3349) Category
Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Marxan ID Marxan 8106 8107 8108 8109 8110 8111 8112 8113 8114 8115 8116 8117 8105
South West Australian Ecoregion initiative
208 Target
0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 0.75 Endemic
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Listed
0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Base 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Reasoning for target DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) DEC RPF (rare); Expert recommendation (endemic) Common Name Fairbridge Pinjarra (R.
Species Name Stylidium semaphorum Symonanthus bancroftii Synaphea sp. Synaphea sp. Synaphea stenoloba Tetratheca deltoidea Tetratheca paynterae subsp. paynterae Thelymitra dedmaniarum Thomasia sp. Green Hill (S. Paust 1322) Verticordia albida Verticordia apecta Verticordia plumosa var. ananeotes Verticordia spicata subsp. squamosa Verticordia staminosa subsp. staminosa Stylidium amabile Farm (D. Papenfus 696) Davis 6578) Category
Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Flora Marxan ID Marxan 8119 8120 8121 8122 8123 8124 8125 8126 8127 8128 8129 8130 8131 8132 8118
Appendices
209 Target
0.75 0.45 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 Endemic
0.15 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Listed
0.45 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 AOR
0 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.15 0.3 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05
Reasoning for target Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) Expert recommendation (healthy ecosystem) DEC RPF (rare); Expert recommendation (endemic) Common Name Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity Vegetation Connectivity
Species Name Granite outcrops Avon Wheatbelt Connectivity Avon Wheatbelt Connectivity Carnarvon Connectivity Coolgardie Connectivity Esperance Connectivity Geraldton Connectivity Great Victoria Desert Connectivity Hampton Connectivity Jarrah Forest Connectivity Mallee Connectivity Murchison Connectivity Nullarbor Connectivity Swan Coastal Plain Connectivity Warren Verticordia staminosa var. erecta Category
Others Others Others Others Others Others Others Others Others Others Others Others Others Others Others Marxan ID Marxan 9017 9003 9004 9005 9006 9007 9008 9009 9010 9011 9012 9013 9014 9015 8133
South West Australian Ecoregion initiative
210 Target
0.2 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 Endemic
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Listed
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.05 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3
Reasoning for target Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Expert recommendation (healthy ecosystem) Common Name Vegetation Connectivity
Species Name Granite outcrops Coolgardie Granite outcrops Esperance Granite outcrops Geraldton Granite outcrops Jarrah Forest Granite outcrops Mallee Granite outcrops Murchison Granite outcrops Nullarbor Granite outcrops Swan Coastal Plain Granite outcrops Warren Connectivity Yalgoo Category
Others Others Others Others Others Others Others Others Others Others Marxan ID Marxan 9018 9019 9020 9021 9022 9023 9024 9025 9026 9016
Appendices
211 Target
0.45 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.9 Endemic
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Listed
0.00 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 0.45 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 Reasoning for target Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Expert recommendation (refugia, unique biodiversity, water source, Indigenous significance) Common Name Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3
Species Name PEC A Avon Wheatbelt PEC A Coolgardie PEC A Esperance PEC A Geraldton PEC A Great Victoria Desert PEC A Hampton PEC A Jarrah PEC A Mallee PEC A Murchison Granite outcrops Yalgoo Category
Others Others Others Others Others Others Others Others Others Others Marxan ID Marxan 9029 9030 9031 9032 9033 9034 9035 9036 9037 9027
South West Australian Ecoregion initiative
212 Target
0.9 0.9 0.9 0.45 0.45 0.45 0.45 0.45 0.45 1 0.9 Endemic
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Listed
0.45 0.45 0.45 0.00 0.00 0.00 0.00 0.00 0.00 0.45 0.45 AOR
0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Base 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.3 ed) mmunities (State), communities (State), d communities (State), d communities (State), eatened communities (State), eatened communities (State), reatened communities (State), Reasoning for target Expert recommendation (threatened) Expert recommendation (threatened) Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Threatened communities (State), Expert recommendation (threatened) Expert recommendation (threaten Th Thr Thr Threatene Threatened Threatened co Threatene Expert recommendation (threatened) Expert recommendation (threatened) Expert recommendation (threatened) Common Name Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 4,5 Priority Ecological Communities (PEC) 4,5 Priority Ecological Communities (PEC) 4,5 Priority Ecological Communities (PEC) 4,5 Priority Ecological Communities (PEC) 4,5 Priority Ecological Communities (PEC) 4,5 Threatened Ecological Communities (TEC) Priority Ecological Communities (PEC) 1, 2, 3 Priority Ecological Communities (PEC) 1, 2, 3
Species Name PEC A Swan Coastal Plain PEC A Yalgoo PEC B AvonWheatbelt PEC B Carnarvon PEC B Coolgardie PEC B Esperance PEC B Jarrah PEC B Swan Coastal Plain TEC ALL PEC A Nullarbor PEC A Warren Category
Others Others Others Others Others Others Others Others Others Others Others Marxan ID Marxan 9039 9041 9044 9042 9045 9043 9046 9047 9028 9038 9040