Multiple Stable States and Regime Shifts - Environmental Science - Oxford Bibliographies 3/30/18, 10:15 AM
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Alternative Stable States of Tidal Marsh Vegetation Patterns and Channel Complexity
ECOHYDROLOGY Ecohydrol. (2016) Published online in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/eco.1755 Alternative stable states of tidal marsh vegetation patterns and channel complexity K. B. Moffett1* and S. M. Gorelick2 1 School of the Environment, Washington State University Vancouver, Vancouver, WA, USA 2 Department of Earth System Science, Stanford University, Stanford, CA, USA ABSTRACT Intertidal marshes develop between uplands and mudflats, and develop vegetation zonation, via biogeomorphic feedbacks. Is the spatial configuration of vegetation and channels also biogeomorphically organized at the intermediate, marsh-scale? We used high-resolution aerial photographs and a decision-tree procedure to categorize marsh vegetation patterns and channel geometries for 113 tidal marshes in San Francisco Bay estuary and assessed these patterns’ relations to site characteristics. Interpretation was further informed by generalized linear mixed models using pattern-quantifying metrics from object-based image analysis to predict vegetation and channel pattern complexity. Vegetation pattern complexity was significantly related to marsh salinity but independent of marsh age and elevation. Channel complexity was significantly related to marsh age but independent of salinity and elevation. Vegetation pattern complexity and channel complexity were significantly related, forming two prevalent biogeomorphic states: complex versus simple vegetation-and-channel configurations. That this correspondence held across marsh ages (decades to millennia) -
Regime Shifts in the Anthropocene: Drivers, Risk, and Resilience
Supplementary Information for Regime Shifts in the Anthropocene: drivers, risk, and resilience by Juan-Carlos Rocha, Garry D. Peterson & Reinette O. Biggs. This document presents a worked example of a regime shift. We first provide a synthesis of the regime shift dynamics and a causal loop diagram (CLD). We then compare the resulting CLD with other regime shifts to make explicit the role of direct and indirect drivers. For each regime shift analyses in this study we did a similar literature synthesis and CLD which are available in the regime shift database. A longer version of this working example and CLDs can be found at www.regimeshifts.org. 1. Kelps transitions Summary. Kelp forests are marine coastal ecosystems located in shallow areas where large macroalgae ecologically engineer the environment to produce a coastal marine environmental substantially different from the same area without kelp. Kelp forests can undergo a regime shift to turf-forming algae or urchin barrens. These shift leads to loss of habitat and ecological complexity. Shifts to turf algae are related to nutrient input, while shifts to urchin barrens are related to trophic-level changes. The consequent loss of habitat complexity may affect commercially important fisheries. Managerial options include restoring biodiversity and installing wastewater treatment plants in coastal zones. Kelps are marine coastal ecosystems dominated by macroalgae typically found in temperate areas. This group of species form submarine forests with three or four layers, which provides different habitats to a variety of species. These forests maintain important industries like lobster and rockfish fisheries, the chemical industry with products to be used in e.g. -
Forage Fish Management Plan
Oregon Forage Fish Management Plan November 19, 2016 Oregon Department of Fish and Wildlife Marine Resources Program 2040 SE Marine Science Drive Newport, OR 97365 (541) 867-4741 http://www.dfw.state.or.us/MRP/ Oregon Department of Fish & Wildlife 1 Table of Contents Executive Summary ....................................................................................................................................... 4 Introduction .................................................................................................................................................. 6 Purpose and Need ..................................................................................................................................... 6 Federal action to protect Forage Fish (2016)............................................................................................ 7 The Oregon Marine Fisheries Management Plan Framework .................................................................. 7 Relationship to Other State Policies ......................................................................................................... 7 Public Process Developing this Plan .......................................................................................................... 8 How this Document is Organized .............................................................................................................. 8 A. Resource Analysis .................................................................................................................................... -
Framework for Ecosystem Management in the Interior Columbia Basin
United States Department of Agriculture A Framework for Forest Service Pacific Northwest Research Station Ecosystem Management In United States Department of the Interior the Interior Columbia Basin Bureau of Land Management And Portions of the General Technical Report Klamath and Great Basins PNW-GTR-374 June 1996 United States United States Department of Department Agriculture of the Interior Forest Service Bureau of Land Management Interior Columbia Basin Ecosystem Management Project This is not a NEPA decision document A Framework for Ecosystem Management In the Interior Columbia Basin And Portions of the Klamath and Great Basins Richard W. Haynes, Russell T. Graham and Thomas M. Quigley Technical Editors Richard W. Haynes is a research forester at the Pacific Northwest Research Station, Portland, OR 97208; Russell T. Graham is a research forester at the Intermountain Research Station, Moscow, ID 83843; Thomas M. Quigley is a range scientist at the Pacific Northwest Research Station, Walla Walla, WA 99362. 1996 United States Department of Agriculture Forest Service Pacific Northwest Research Station Portland, Oregon ABSTRACT Haynes, Richard W.; Graham, Russell T.; Quigley, Thomas M., tech. eds. 1996. A frame- work for ecosystem management in the Interior Columbia Basin including portions of the Klamath and Great Basins. Gen. Tech. Rep. PNW-GTR-374. Portland, OR; U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 66 p. A framework for ecosystem management is proposed. This framework assumes the purpose of ecosystem management is to maintain the integrity of ecosystems over time and space. It is based on four ecosystem principles: ecosystems are dynamic, can be viewed as hierarchies with temporal and spatial dimensions, have limits, and are relatively unpredictable. -
Resilience of Alternative States in Spatially Extended Ecosystems
RESEARCH ARTICLE Resilience of Alternative States in Spatially Extended Ecosystems Ingrid A. van de Leemput*, Egbert H. van Nes, Marten Scheffer Department of Environmental Sciences, Wageningen University, Wageningen, The Netherlands * [email protected] Abstract Alternative stable states in ecology have been well studied in isolated, well-mixed systems. However, in reality, most ecosystems exist on spatially extended landscapes. Applying ex- isting theory from dynamic systems, we explore how such a spatial setting should be ex- pected to affect ecological resilience. We focus on the effect of local disturbances, defining resilience as the size of the area of a strong local disturbance needed to trigger a shift. We show that in contrast to well-mixed systems, resilience in a homogeneous spatial setting does not decrease gradually as a bifurcation point is approached. Instead, as an environ- OPEN ACCESS mental driver changes, the present dominant state remains virtually ‘indestructible’, until at Citation: van de Leemput IA, van Nes EH, Scheffer a critical point (the Maxwell point) its resilience drops sharply in the sense that even a very M (2015) Resilience of Alternative States in Spatially Extended Ecosystems. PLoS ONE 10(2): e0116859. local disturbance can cause a domino effect leading eventually to a landscape-wide shift to doi:10.1371/journal.pone.0116859 the alternative state. Close to this Maxwell point the travelling wave moves very slow. Under Academic Editor: Emanuele Paci, University of these conditions both states have a comparable resilience, allowing long transient co-occur- Leeds, UNITED KINGDOM rence of alternative states side-by-side, and also permanent co-existence if there are mild Received: April 11, 2014 spatial barriers. -
Introduction to Theoretical Ecology
Introduction to Theoretical Ecology Natal, 2011 Objectives After this week: The student understands the concept of a biological system in equilibrium and knows that equilibria can be stable or unstable. The student understands the basics of how coupled differential equations can be analyzed graphically, including phase plane analysis and nullclines. The student can analyze the stability of the equilibria of a one-dimensional differential equation model graphically. The student has a basic understanding of what a bifurcation point is. The student can relate alternative stable states to a 1D bifurcation plot (e.g. catastrophe fold). Study material / for further study: This text Scheffer, M. 2009. Critical Transitions in Nature and Society, Princeton University Press, Princeton and Oxford. Scheffer, M. 1998. Ecology of Shallow Lakes. 1 edition. Chapman and Hall, London. Edelstein-Keshet, L. 1988. Mathematical models in biology. 1 edition. McGraw-Hill, Inc., New York. Tentative programme (maybe too tight for the exercises) Monday 9:00-10:30 Introduction Modelling + introduction Forrester diagram + 1D models (stability graphs) 10:30-13:00 GRIND Practical CO2 chamber - Ethiopian Wolf Tuesday 9:00-10:00 Introduction bifurcation (Allee effect) and Phase plane analysis (Lotka-Volterra competition) 10:00-13:00 GRIND Practical Lotka-Volterra competition + Sahara Wednesday 9:00-13:00 GRIND Practical – Sahara (continued) and Algae-zooplankton Thursday 9:00-13:00 GRIND practical – Algae zooplankton spatial heterogeneity Friday 9:00-12:00 GRIND practical- Algae zooplankton fish 12:00-13:00 Practical summary/explanation of results - Wrap up 1 An introduction to models What is a model? The word 'model' is used widely in every-day language. -
Cascading Regime Shifts Within and Across Scales Juan C
bioRxiv preprint doi: https://doi.org/10.1101/364620; this version posted July 7, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Cascading regime shifts within and across scales Juan C. Rocha1,2, Garry Peterson1, Örjan Bodin1, Simon A. Levin3 1Stockholm Resilience Centre, Stockholm University, Kräftriket 2B, 10691 Stockholm 2Beijer Institute, Swedish Royal Academy of Sciences, Lilla Frescativägen 4A, 104 05 Stockholm 3Department of Ecology & Evolutionary Biology, Princeton University, 106A Guyot Hall, Princeton, NJ 08544-1003 Abstract Regime shifts are large, abrupt and persistent critical transitions in the function and structure of systems (1, 2 ). Yet it is largely unknown how these transitions will interact, whether the occurrence of one will increase the likelihood of another, or simply correlate at distant places. Here we explore two types of cascading effects: domino effects create one-way dependencies, while hidden feedbacks produce two-way interactions; and compare them with the control case of driver sharing which can induce correlations. Using 30 regime shifts described as networks, we show that 45% of the pair-wise combinations of regime shifts present at least one plausible structural interdependence. Driver sharing is more common in aquatic systems, while hidden feedbacks are more commonly found in terrestrial and Earth systems tipping points. The likelihood of cascading effects depends on cross-scale interactions, but differs for each cascading effect type. Regime shifts should not be studied in isolation: instead, methods and data collection should account for potential teleconnections. -
Unifying Research on Social–Ecological Resilience and Collapse Graeme S
TREE 2271 No. of Pages 19 Review Unifying Research on Social–Ecological Resilience and Collapse Graeme S. Cumming1,* and Garry D. Peterson2 Ecosystems influence human societies, leading people to manage ecosystems Trends for human benefit. Poor environmental management can lead to reduced As social–ecological systems enter a ecological resilience and social–ecological collapse. We review research on period of rapid global change, science resilience and collapse across different systems and propose a unifying social– must predict and explain ‘unthinkable’ – ecological framework based on (i) a clear definition of system identity; (ii) the social, ecological, and social ecologi- cal collapses. use of quantitative thresholds to define collapse; (iii) relating collapse pro- cesses to system structure; and (iv) explicit comparison of alternative hypoth- Existing theories of collapse are weakly fi integrated with resilience theory and eses and models of collapse. Analysis of 17 representative cases identi ed 14 ideas about vulnerability and mechanisms, in five classes, that explain social–ecological collapse. System sustainability. structure influences the kind of collapse a system may experience. Mechanistic Mechanisms of collapse are poorly theories of collapse that unite structure and process can make fundamental understood and often heavily con- contributions to solving global environmental problems. tested. Progress in understanding col- lapse requires greater clarity on system identity and alternative causes of Sustainability Science and Collapse collapse. Ecology and human use of ecosystems meet in sustainability science, which seeks to understand the structure and function of social–ecological systems and to build a sustainable Archaeological theories have focused and equitable future [1]. Sustainability science has been built on three main streams of on a limited range of reasons for sys- tem collapse. -
Ectomycorrhizal Fungal Communities at Forest Edges 93, 244–255 IAN A
Journal of Blackwell Publishing, Ltd. Ecology 2005 Ectomycorrhizal fungal communities at forest edges 93, 244–255 IAN A. DICKIE and PETER B. REICH Department of Forest Resources, University of Minnesota, St Paul, MN, USA Summary 1 Ectomycorrhizal fungi are spatially associated with established ectomycorrhizal vegetation, but the influence of distance from established vegetation on the presence, abundance, diversity and community composition of fungi is not well understood. 2 We examined mycorrhizal communities in two abandoned agricultural fields in Minnesota, USA, using Quercus macrocarpa seedlings as an in situ bioassay for ecto- mycorrhizal fungi from 0 to 20 m distance from the forest edge. 3 There were marked effects of distance on all aspects of fungal communities. The abundance of mycorrhiza was uniformly high near trees, declined rapidly around 15 m from the base of trees and was uniformly low at 20 m. All seedlings between 0 and 8 m distance from forest edges were ectomycorrhizal, but many seedlings at 16–20 m were uninfected in one of the two years of the study. Species richness of fungi also declined with distance from trees. 4 Different species of fungi were found at different distances from the edge. ‘Rare’ species (found only once or twice) dominated the community at 0 m, Russula spp. were dominants from 4 to 12 m, and Astraeus sp. and a Pezizalean fungus were abundant at 12 m to 20 m. Cenococcum geophilum, the most dominant species found, was abundant both near trees and distant from trees, with lowest relative abundance at intermediate distances. 5 Our data suggest that seedlings germinating at some distance from established ecto- mycorrhizal vegetation (15.5 m in the present study) have low levels of infection, at least in the first year of growth. -
Regime Shifts Database Template for Capturing Generic Examples of Regime Shifts
Appendix 2. Regime Shifts Database Template for capturing generic examples of regime shifts. A slightly modified version for capturing detailed case studies is also available at www.regimeshifts.org. REGIME SHIFTS DATABASE GENERIC REGIME SHIFTS TEMPLATE GREEN = Free text, paragraph style BLUE = Free text, brief keywords or phrases RED = Choose from predefined keyword options 1. Regime shift name Short, succinct name for the type of regime shift. Try to include a brief reference to both regimes (e.g. clear to turbid water). The regime shift types should be generalized descriptions of the dynamics of a particular kind of RS as observed over multiple case studies, rather than a description of the dynamics that occurred in a particular case (e.g. Lake Eutrophication in Lake Mendota). However, for large-scale regional or global RS the case may be unique (e.g. collapse of the thermohaline circulation) and can then be described in unique terms. 2. Main Contributors Names of those who primarily contributed to the text. 3. Other Contributors Names of others who contributed to and reviewed the text. 4. Summary/Abstract of regime shift (max 150 words) Brief, clear, easy-to-understand summary of the regime shift: the alternate regimes, the key drivers (social and ecological), and key impacts. This section is intended to be understandable by lay persons and the general public. Limit the summary to 1 paragraph and do not include references. This section should be written last, once you have finalized all the other sections. 5. Alternate regimes (max 300 words) This section describes the different regimes that may exist in the system. -
FOREST ECOSYSTEM MANAGEMENT 2019‐20 Student Handbook Ecosystem Science and Management College of Agricultural Sciences the Pennsylvania State University
FOREST ECOSYSTEM MANAGEMENT 2019‐20 Student Handbook Ecosystem Science and Management College of Agricultural Sciences The Pennsylvania State University ecosystems.psu.edu September 2019 Table of Contents Ecosystem Science and Management Department ............................................................................................... 3 Statement on Diversity and Inclusion .................................................................................................................3 Undergraduate Programs Office ............................................................................................................................ 3 Forest Ecosystem Management Undergraduate Program .................................................................................... 4 Introduction ..................................................................................................................................................... ..4 Mission ...............................................................................................................................................................5 Required Field Equipment......................................................................................................................................5 Excel and Technology Resources ………………………………………………………………………………………………………………………6 Forest Ecosystem Management Curriculum Requirements .................................................................................. 6 Community and Urban Forest Management (CURFM) Option ........................................................................ -
Is Ecological Succession Predictable?
Is ecological succession predictable? Commissioned by Prof. dr. P. Opdam; Kennisbasis Thema 1. Project Ecosystem Predictability, Projectnr. 232317. 2 Alterra-Report 1277 Is ecological succession predictable? Theory and applications Koen Kramer Bert Brinkman Loek Kuiters Piet Verdonschot Alterra-Report 1277 Alterra, Wageningen, 2005 ABSTRACT Koen Kramer, Bert Brinkman, Loek Kuiters, Piet Verdonschot, 2005. Is ecological succession predictable? Theory and applications. Wageningen, Alterra, Alterra-Report 1277. 80 blz.; 6 figs.; 0 tables.; 197 refs. A literature study is presented on the predictability of ecological succession. Both equilibrium and nonequilibrium theories are discussed in relation to competition between, and co-existence of species. The consequences for conservation management are outlined and a research agenda is proposed focusing on a nonequilibrium view of ecosystem functioning. Applications are presented for freshwater-; marine-; dune- and forest ecosystems. Keywords: conservation management; competition; species co-existence; disturbance; ecological succession; equilibrium; nonequilibrium ISSN 1566-7197 This report can be ordered by paying € 15,- to bank account number 36 70 54 612 by name of Alterra Wageningen, IBAN number NL 83 RABO 036 70 54 612, Swift number RABO2u nl. Please refer to Alterra-Report 1277. This amount is including tax (where applicable) and handling costs. © 2005 Alterra P.O. Box 47; 6700 AA Wageningen; The Netherlands Phone: + 31 317 474700; fax: +31 317 419000; e-mail: [email protected] No part of this publication may be reproduced or published in any form or by any means, or stored in a database or retrieval system without the written permission of Alterra. Alterra assumes no liability for any losses resulting from the use of the research results or recommendations in this report.