Network Based Tools and Indicators for Landscape Ecological Assessments, Planning, and Design
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Biocultural Indicators to Support Locally Led Environmental Management and Monitoring
Copyright © 2019 by the author(s). Published here under license by the Resilience Alliance. DeRoy, B. C., C. T. Darimont, and C. N. Service. 2019. Biocultural indicators to support locally led environmental management and monitoring. Ecology and Society 24(4):21. https://doi.org/10.5751/ES-11120-240421 Synthesis Biocultural indicators to support locally led environmental management and monitoring Bryant C. DeRoy 1,2, Chris T. Darimont 1,2 and Christina N. Service 1,2,3 ABSTRACT. Environmental management (EM) requires indicators to inform objectives and monitor the impacts or efficacy of management practices. One common approach uses “functional ecological” indicators, which are typically species whose presence or abundance are tied to functional ecological processes, such as nutrient productivity and availability, trophic interactions, and habitat connectivity. In contrast, and used for millennia by Indigenous peoples, biocultural indicators are rooted in local values and place- based relationships between nature and people. In many landscapes today where Indigenous peoples are reasserting sovereignty and governance authority over natural resources, the functional ecological approach to indicator development does not capture fundamental values and ties to the natural world that have supported social-ecological systems over the long term. Accordingly, we argue that the development and use of biocultural indicators to shape, monitor, and evaluate the success of EM projects will be critical to achieving ecological and social sustainability today. We have provided a framework composed of criteria to be considered when selecting and applying meaningful and efficacious biocultural indicators among the diverse array of potential species and values. We used a case study from a region now referred to as coastal British Columbia, Canada, to show how the suggested application of functional ecological indicators by the provincial government created barriers to the development of meaningful cogovernance. -
Ecosystem Services Generated by Fish Populations
AR-211 Ecological Economics 29 (1999) 253 –268 ANALYSIS Ecosystem services generated by fish populations Cecilia M. Holmlund *, Monica Hammer Natural Resources Management, Department of Systems Ecology, Stockholm University, S-106 91, Stockholm, Sweden Abstract In this paper, we review the role of fish populations in generating ecosystem services based on documented ecological functions and human demands of fish. The ongoing overexploitation of global fish resources concerns our societies, not only in terms of decreasing fish populations important for consumption and recreational activities. Rather, a number of ecosystem services generated by fish populations are also at risk, with consequences for biodiversity, ecosystem functioning, and ultimately human welfare. Examples are provided from marine and freshwater ecosystems, in various parts of the world, and include all life-stages of fish. Ecosystem services are here defined as fundamental services for maintaining ecosystem functioning and resilience, or demand-derived services based on human values. To secure the generation of ecosystem services from fish populations, management approaches need to address the fact that fish are embedded in ecosystems and that substitutions for declining populations and habitat losses, such as fish stocking and nature reserves, rarely replace losses of all services. © 1999 Elsevier Science B.V. All rights reserved. Keywords: Ecosystem services; Fish populations; Fisheries management; Biodiversity 1. Introduction 15 000 are marine and nearly 10 000 are freshwa ter (Nelson, 1994). Global capture fisheries har Fish constitute one of the major protein sources vested 101 million tonnes of fish including 27 for humans around the world. There are to date million tonnes of bycatch in 1995, and 11 million some 25 000 different known fish species of which tonnes were produced in aquaculture the same year (FAO, 1997). -
Ascendency As Ecological Indicator for Environmental Quality Assessment at the Ecosystem Level: a Case Study
Hydrobiologia (2006) 555:19–30 Ó Springer 2006 H. Queiroga, M.R. Cunha, A. Cunha, M.H. Moreira, V. Quintino, A.M. Rodrigues, J. Seroˆ dio & R.M. Warwick (eds), Marine Biodiversity: Patterns and Processes, Assessment, Threats, Management and Conservation DOI 10.1007/s10750-005-1102-8 Ascendency as ecological indicator for environmental quality assessment at the ecosystem level: a case study J. Patrı´ cio1,*, R. Ulanowicz2, M. A. Pardal1 & J. C. Marques1 1IMAR- Institute of Marine Research, Department of Zoology, Faculty of Sciences and Technology, University of Coimbra, 3004-517, Coimbra, Portugal 2Chesapeake Biological Laboratory, Center for Environmental and Estuarine Studies, University of Maryland, Solomons, Maryland, 20688-0038, USA (*Author for correspondence: E-mail: [email protected]) Key words: network analysis, ascendency, eutrophication, estuary Abstract Previous studies have shown that when an ecosystem consists of many interacting components it becomes impossible to understand how it functions by focussing only on individual relationships. Alternatively, one can attempt to quantify system behaviour as a whole by developing ecological indicators that combine numerous environmental factors into a single value. One such holistic measure, called the system ‘ascen- dency’, arises from the analysis of networks of trophic exchanges. It deals with the joint quantification of overall system activity with the organisation of the component processes and can be used specifically to identify the occurrence of eutrophication. System ascendency analyses were applied to data over a gradient of eutrophication in a well documented small temperate intertidal estuary. Three areas were compared along the gradient, respectively, non eutrophic, intermediate eutrophic, and strongly eutrophic. Values of other measures related to the ascendency, such as the total system throughput, development capacity, and average mutual information, as well as the ascendency itself, were clearly higher in the non-eutrophic area. -
ECOLOGICAL FOOTPRINT AN]) Appropriathd CARRYING CAPACITY: a TOOL for PLANNING TOWARD SUSTAINABILITY
ECOLOGICAL FOOTPRINT AN]) APPROPRIAThD CARRYING CAPACITY: A TOOL FOR PLANNING TOWARD SUSTAINABILITY by MATHIS WACKERNAGEL Dip!. Ing., The Swiss Federal Institute of Technology, ZUrich, 1988 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE FACULTY OF GRADUATE STUDIES (School of Community and Regional Planning) We accept this thesis as conforming to the r ired standard THE UNIVERSITY OF BRITISH COLUMBIA October 1994 © Mathis Wackernagel, 1994 advanced In presenting this thesis in partial fulfilment of the requirements for an Library shall make it degree at the University of British Columbia, I agree that the that permission for extensive freely available for reference and study. I further agree copying of this thesis for scholarly purposes may be granted by the head of my department or by his or her representatives. It is understood that copying or publication of this thesis for financial gain shall not be allowed without my written permission. (Signature) ejb’i’t/ Pios-ii’ii &toof of C iwivry Gf (i l r€dva k hi di’e The University of British Columbia Vancouver, Canada Date O 6) ) DE-6 (2/88) ABSThACT There is mounting evidence that the ecosystems of Earth cannot sustain current levels of economic activity, let alone increased levels. Since some consume Earth’s resources at a rate that will leave little for future generations, while others still live in debilitating poverty, the UN’s World Commission on Environment and Economic Development has called for development that is sustainable. The purpose of this thesis is to further develop and test a planning tool that can assist in translating the concern about the sustainability crisis into public action. -
Closed Ecological Systems, Space Life Support and Biospherics
11 Closed Ecological Systems, Space Life Support and Biospherics Mark Nelson, Nickolay S. Pechurkin, John P. Allen, Lydia A Somova, and Josef I. Gitelson CONTENTS INTRODUCTION TERMINOLOGY OF CLOSED ECOLOGICAL SYSTEMS:FROM LABORATORY ECOSPHERES TO MANMADE BIOSPHERES DIFFERENT TYPES OF CLOSED ECOLOGICAL SYSTEMS CONCLUSION REFERENCES Abstract This chapter explores the development of a new type of scientific tool – man- made closed ecological systems. These systems have had a number of applications within the past 50 years. They are unique tools for investigating fundamental processes and interactions of ecosystems. They also hold the potentiality for creating life support systems for space exploration and habitation outside of Earth’s biosphere. Finally, they are an experimental method of working with small “biospheric systems” to gain insight into the functioning of Earth’s biosphere. The chapter reviews the terminology of the field, the history and current work on closed ecological systems, bioregenerative space life support and biospherics in Japan, Europe, Russia, and the United States where they have been most developed. These projects include the Bios experiments in Russia, the Closed Ecological Experiment Facility in Japan, the Biosphere 2 project in Arizona, the MELiSSA program of the European Space Agency as well as fundamental work in the field by NASA and other space agencies. The challenges of achieving full closure, and of recycling air and water and producing high- production crops for such systems are discussed, with examples of different approaches being used to solve these problems. The implications for creating sustainable technologies for our Earth’s environment are also illustrated. Key Words Life support r biospherics r bioregenerative r food r air r water recycling r microcosm rclosed ecological systems rBios rNASA rCEEF rBiosphere 2 rBIO-Plex. -
Systems Conservation of Animal Populations
Systems Conservation of Animal Populations Spring 2015 | FIW 5984/19850 SS:Systm Conserv Animal Poplns Instructor: Leandro Castello Office: 148 Cheatham Hall, Phone: 540-231-5046, E-mail: [email protected] Office hours: Mondays 2-5 pm Course description Systems Conservation of Animal Populations adopts an integrative approach to understanding problems of sustainable management and conservation of animals in natural landscapes. The course is founded on the idea that effective conservation of animal populations can only be achieved through consideration and management of broader, multifaceted factors related to natural ecosystems and human societies. The course seeks to help students conceptualize and articulate their own problems of study within an interdisciplinary framework. The course introduces students to approaches to understanding biological conservation problems as integrated systems by reviewing the literature of Systems Ecology and Social- Ecological Systems. It reviews key concepts and papers on ecosystem-based management, resource economics, user participation, policy, and governance. Attention is paid to the diversity of social-ecological settings across the globe and the role of rural communities in animal management and conservation. The course concludes with presentations and discussions led by the students of research projects analyzing animal conservations problems from a systems perspective. Classes are based on discussions of readings led jointly by students and instructor. Class time, location, and communication Lecture: Wednesdays & Fridays 2:30 – 3:45 pm, room 133 Cheatham Hall All communication will be done via Scholar, which is based on VT’s email system. Course textbooks Odum, Howard T. 2007. Environment, power, and society. Vol. 130. New York: Wiley- Interscience. -
About This File
AUTHORS Bruce G. Marcot is the regional wildlife ecologist in the Ecological Framework for Management Research, Development, and Application Program, Pacific Northwest Research Station, U.S. Department of Agri- culture, Forest Service in Portland, Oregon. Michael J. Wisdom is the technology transfer scientist at the Starkey Experimental Forest, Pacific Northwest Research Station, U.S. Department of Agriculture, Forest Service in La Grande, Oregon. Hiram W. LI is a professor in the Department of Fish and Wildlife at Oregon State University in Corvallis, Oregon. Gonzalo C. Castillo is a graduate student at Oregon State University in Corvallis, Oregon. Managing for Featured, Threatened, Endangered, and Sensitive Species and Unique Habitats for Ecosystem Sustainability Bruce G. Marcot, Michael J. Wisdom, Hiram W. Li, and Gonzalo C. Castillo From Volume III: Assessment Paul F. Hessburg, Science Team Leader and Technical Editor Eastside Forest Ecosystem Health Assessment Richard L. Everett, Assessment Team Leader Published by: U.S. Department of Agriculture, Forest Service Pacific Northwest Research Station General Technical Report PNW-GTR-329 February 1994 In cooperation with: U.S. Department of Agriculture, Forest Service Pacific Northwest Region ABSTRACT Marcot, Bruce G.; Wisdom, Michael J.; Li, Hiram W.; Castillo, Gonzalo C. 1994. Managing for fea- tured, threatened, endangered, and sensitive species and unique habitats for ecosystem sustainability. Gen. Tech. Rep. PNW-GTR-329. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 39 p. (Everett, Richard L., assessment team leader; Eastside forest ecosystem health assessment; Hessburg, Paul F., science team leader and tech. ed., Volume III: assessment.) The traditional approach to wildlife management has focused on single species—historically game species and more recently threatened and endangered species. -
Challenges in the Development and Use of Ecological Indicators Virginia H
Ecological Indicators 1 (2001) 3–10 Challenges in the development and use of ecological indicators Virginia H. Dale a,∗, Suzanne C. Beyeler b,1 a Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6036, USA b Institute of Environmental Sciences, Miami University, Oxford, OH 45058, USA Accepted 7 March 2001 Abstract Ecological indicators can be used to assess the condition of the environment, to provide an early warning signal of changes in the environment, or to diagnose the cause of an environmental problem. Ideally the suite of indicators should represent key information about structure, function, and composition of the ecological system. Three concerns hamper the use of ecological indicators as a resource management tool. (1) Monitoring programs often depend on a small number of indicators and fail to consider the full complexity of the ecological system. (2) Choice of ecological indicators is confounded in management programs that have vague long-term goals and objectives. (3) Management and monitoring programs often lack scientific rigor because of their failure to use a defined protocol for identifying ecological indicators. Thus, ecological indicators need to capture the complexities of the ecosystem yet remain simple enough to be easily and routinely monitored. Ecological indicators should meet the following criteria: be easily measured, be sensitive to stresses on the system, respond to stress in a predictable manner, be anticipatory, predict changes that can be averted by management actions, be integrative, have a known response to disturbances, anthropogenic stresses, and changes over time, and have low variability in response. The challenge is to derive a manageable set of indicators that together meet these criteria. -
Evaluation of the Applicability of a Marine Biotic Index to Characterize the Status of Estuarine Ecosystems: the Case of Mondego Estuary (Portugal) F
Ecological Indicators 4 (2004) 215–225 Evaluation of the applicability of a marine biotic index to characterize the status of estuarine ecosystems: the case of Mondego estuary (Portugal) F. Salas a,∗, J.M. Neto a, A. Borja b, J.C. Marques a a Institute of Marine Research (IMAR), c/o Department of Zoology, University of Coimbra, 3004-517 Coimbra, Portugal b AZTI, Departamento de Oceanograf´ıa y Medio Ambiente Marino, Herrera Kaia, Portualdea s/n, 20110 Pasaia (Gipuzkoa), Spain Accepted 2 April 2004 Abstract The need for new tools to assess the environmental status of coastal and estuarine systems encouraged Borja et al. [Mar. Pollut. Bull. 40 (2000) 1100] to develop a new index, the AZTI’s Marine Biotic Index (AMBI), which needs to be tested as much as possible in different geographical areas to assess its applicability. This index was applied in the Mondego estuary (western coast of Portugal) together with the Shannon–Wiener, Margalef, Simpson, and W-statistic indices, which are widely used in detecting the effects of marine pollution. Results show that, in some cases, the AMBI provides a more accurate assessment of environmental conditions than the other indices, which were influenced by the dominance of certain species, allowing us to consider it as a promising tool to characterize marine and estuarine environmental quality. © 2004 Elsevier Ltd. All rights reserved. Keywords: Benthos; Environmental quality; Estuaries; Marine biotic index; Soft-bottom; Water Framework Directive 1. Introduction natural and man-induced changes to the environment, integrating long-term environmental conditions. There is an increasing need for techniques capable For the development of the AMBI, the soft-bottom of evaluating changes in the coastal and estuarine en- macrofauna is divided into five groups according to vironments. -
Amphibians As Ecological Indicators
Amphibians as Ecological Indicators As our environment rapidly changes from various threats, we are left to wonder exactly what the implications and effects of these impacts are. A clue to examine these impacts, or even monitor restoration efforts, can be considered with the use of an ecological indicator. An ecological indicator can be defined by the EPA as, “A measure, an index of measures, or a model that characterizes an ecosystem or one of its critical components.” With this perspective, ecological indicators can be used to assess environmental conditions and trends over time. Amphibians have often been thought to serve as a particularly desirable indicator species. They utilize both aquatic and terrestrial habitats, as dictated through their biphasic life cycle, and their skin is permeable. For these reasons, they are considered to be more sensitive (in both habitats) to environmental changes and stressors than other species (Blaustein et al. 1994). In addition, many species can usually be found in abundance and monitoring efforts are considered effective. Most amphibians are very predictable as far as their reproductive queues. Observing changes in the behavior of amphibians can indicate potential environmental contaminants or pollution sites (Hammer et al. 2004). Abundance and populations of species can illustrate the overall health of the ecosystem and habitat quality. For example, if a significant increase in population is noted, one indication may be for very favorable conditions in the environment with this species; often more precedent than even vegetative responses. A program hoping to utilize an example such as the previous scenario is the Comprehensive Everglades Restoration Project (CERP). -
The Ecosystem Approach and Systems Thinking
Wicked Problems, Dynamic Solutions: The Ecosystem Approach and Systems Thinking This sourcebook accompanies the Massive Open Online Course (MOOC) on the Ecosystem Approach and Systems Thinking (EAST) developed by the Loyola Sustainability Research Centre at Concordia University, Montreal, and the United Nations Environment Programme (UNEP) in Nairobi, Kenya. The sourcebook is written for both teacher and student, though it is assumed that most of its readers will be teachers who are applying the MOOC to a hybrid class (blended learning) or are offering the MOOC to students and/or professionals in various branches of public administration, civil society, or the private sector. Each module is described in terms of the main learning objectives, a short introduction to the topic, a summary of prevalent policy initiatives and interventions, a list of suggested “discussion points” that can guide classroom or online discussions/debates, an annotated bibliography of some key sources that have been suggested by our subject experts, and a list of exciting websites, TED talks, and other Internet material that students can easily access for more information. A premium is put on brevity in this sourcebook: each module is dealt with in under fifteen pages. The actual MOOC contains far more material, including visual aids to the concepts and case study material. Each module is designed to take roughly four hours to complete for students in the MOOC; reading each module’s section in the sourcebook should take considerably less time. We have also refrained from including images, graphs, and other infographics in the sourcebook, since they are prominent features in the MOOC itself. -
Measuring Ecological Complexity
Ecological Indicators 10 (2010) 1069–1076 Contents lists available at ScienceDirect Ecological Indicators journal homepage: www.elsevier.com/locate/ecolind Review Measuring ecological complexity Lael Parrott ∗ Complex Systems Laboratory, Département de géographie, Université de Montréal, C.P. 6128 succursale “centre-ville”, Montréal, Québec, Canada H3C 3J7 article info abstract Article history: Complexity is an elusive term in ecology that is often used in different ways to describe the state of an Received 8 October 2009 ecosystem. Ecological complexity has been linked to concepts such as ecological integrity, diversity and Received in revised form 3 February 2010 resilience and has been put forth as a candidate ecological orientor. In this article, the concept of complex- Accepted 26 March 2010 ity as a system attribute is presented and candidate measures of ecological complexity are reviewed. The measures are distinguished by their ability to characterize the spatial, temporal, structural or spatiotem- Keywords: poral signatures of an ecosystem. Many of these measures have been adapted from disciplines such as Ecological complexity physics and information theory that have a long history of quantifying complexity, however more work Complex systems Ecological orientors needs to be done to develop techniques adapted to ecological data. It is argued that if appropriate mea- Entropy sures are developed and validated for ecosystems, ecological complexity could become a key ecological indicator. © 2010 Elsevier Ltd. All rights reserved. Contents