Regime Shifts in the Anthropocene: Drivers, Risk, and Resilience
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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 .................................................................................................................................... -
Multiple Stable States and Regime Shifts - Environmental Science - Oxford Bibliographies 3/30/18, 10:15 AM
Multiple Stable States and Regime Shifts - Environmental Science - Oxford Bibliographies 3/30/18, 10:15 AM Multiple Stable States and Regime Shifts James Heffernan, Xiaoli Dong, Anna Braswell LAST MODIFIED: 28 MARCH 2018 DOI: 10.1093/OBO/9780199363445-0095 Introduction Why do ecological systems (populations, communities, and ecosystems) change suddenly in response to seemingly gradual environmental change, or fail to recover from large disturbances? Why do ecological systems in seemingly similar settings exhibit markedly different ecological structure and patterns of change over time? The theory of multiple stable states in ecological systems provides one potential explanation for such observations. In ecological systems with multiple stable states (or equilibria), two or more configurations of an ecosystem are self-maintaining under a given set of conditions because of feedbacks among biota or between biota and the physical and chemical environment. The resulting multiple different states may occur as different types or compositions of vegetation or animal communities; as different densities, biomass, and spatial arrangement; and as distinct abiotic environments created by the distinct ecological communities. Alternative states are maintained by the combined effects of positive (or amplifying) feedbacks and negative (or stabilizing feedbacks). While stabilizing feedbacks reinforce each state, positive feedbacks are what allow two or more states to be stable. Thresholds between states arise from the interaction of these positive and negative feedbacks, and define the basins of attraction of the alternative states. These feedbacks and thresholds may operate over whole ecosystems or give rise to self-organized spatial structure. The combined effect of these feedbacks is also what gives rise to ecological resilience, which is the capacity of ecological systems to absorb environmental perturbations while maintaining their basic structure and function. -
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. -
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. -
Konar, B., and J.A. Estes. 2003. the Stability of Boundary Regions
Ecology, 84(1), 2003, pp. 174±185 q 2003 by the Ecological Society of America THE STABILITY OF BOUNDARY REGIONS BETWEEN KELP BEDS AND DEFORESTED AREAS BRENDA KONAR1,2 AND JAMES A. ESTES1 1U.S. Geological Survey and Department of Biology, A-316 Earth and Marine Sciences Building, University of California, Santa Cruz, California 95064 USA Abstract. Two distinct organizational states of kelp forest communities, foliose algal assemblages and deforested barren areas, typically display sharp discontinuities. Mecha- nisms responsible for maintaining these state differences were studied by manipulating various features of their boundary regions. Urchins in the barren areas had signi®cantly smaller gonads than those in adjacent kelp stands, implying that food was a limiting resource for urchins in the barrens. The abundance of drift algae and living foliose algae varied abruptly across the boundary between kelp beds and barren areas. These observations raise the question of why urchins from barrens do not invade kelp stands to improve their ®tness. By manipulating kelp and urchin densities at boundary regions and within kelp beds, we tested the hypothesis that kelp stands inhibit invasion of urchins. Urchins that were ex- perimentally added to kelp beds persisted and reduced kelp abundance until winter storms either swept the urchins away or caused them to seek refuge within crevices. Urchins invaded kelp bed margins when foliose algae were removed but were prevented from doing so when kelps were replaced with physical models. The sweeping motion of kelps over the sea¯oor apparently inhibits urchins from crossing the boundary between kelp stands and barren areas, thus maintaining these alternate stable states. -
Estimated Extent of Urchin Barrens on the East Coast of Northland, New Zealand
Estimated extent of urchin barrens on the east coast of Northland, New Zealand Vince Kerr and Roger Grace, October 2017 1 Estimated extent of urchin barrens on the east coast of Northland, New Zealand Vince Kerr and Roger Grace, October 2017 Cover Photo: An example of the urchin barren condition taken just south of the Cape Rodney to Okakari Point (Leigh) Marine Reserve at Cape Rodney, showing the greyish bare rock appearance of the urchin barren contrasted with the dark appearance in the aerial view of the algal forests. These photos also demonstrate the typical zonation of macroalgal forests and urchin barrens found in fished areas in northern New Zealand. Photo credit: Nick Shears Keywords: urchin barrens, marine habitat mapping, habitat classification, algal forest health, algal forest restoration, wave exposure, marine reserves, partially protected areas, Northland Citation: Kerr, V.C., Grace, R.V., 2017. Estimated extent of urchin barrens on shallow reefs of Northland’s east coast. A report prepared for Motiti Rohe Moana Trust. Kerr & Associates, Whangarei. Contact the authors: Vince Kerr, Kerr & Associates Phone +64 9 4351518, email: [email protected] Kerr & Associates web site 2 Contents Executive summary ......................................................................................................................................... 4 Client brief ....................................................................................................................................................... 5 Background -
POTENTIAL IMPACTS of KELP FOREST HABITAT RESTORATION ALONG the PALOS VERDES PENINSULA Jeremy T
POTENTIAL IMPACTS OF KELP FOREST HABITAT RESTORATION ALONG THE PALOS VERDES PENINSULA Jeremy T. Claisse1, Jonathan P. Williams1, Laurel A. Zahn1, Daniel J. Pondella1 & Tom Ford2 1 Vantuna Research Group, Department of Biology, Occidental College, Los Angeles, CA 90041 2 The Bay Foundation, Los Angeles, CA 90045 Urchin barrens and kelp forest habitat Urchin barrens effect the invertebrate, kelp, benthic cover and fish communities restoration We sampled 25 sites in both 2012 and High densities of the unfished purple 2013 (Fig. 1) using a standardized Kelp Community giant kelp urchin (Strongylocentrotus purpuratus) comprehensive community monitoring southern result in ‘‘urchin barrens’’ largely survey protocol (for details see Hamilton et sea palm devoid of macroalgae across 61 ha of al. 2010 PNAS 107:18272-18277 and Claisse et rocky reef along the Palos Verdes al. 2012 PLoS ONE 7:e30290). Sites included Peninsula in southern California (Fig. 1; established kelp forests (green), extent of mapped urchin barrens shown urchin barrens (red) and those adjacent to urchin barrens (grey). We only in red). The study presented here is used data from the 5 m depth zone where most barrens occur. Species- focused on evaluating the potential specific site means were calculated by pooling data over both years. For effects of kelp forest habitat restoration fishes, estimated lengths were converted to weights using length-weight Fig. 4. nMDS plot of the kelp community using square by comparing the differences between relationships. root transformed density and a Bray-Curtis similarity ©Tom Boyd Images 2013 urchin barren and kelp forest habitats. matrix. Significant differences were found among site • We found significant community level differences among site categories (R adonis PERMANOVA: F2,16=8.5, categories in nMDS plots (Fig. -
'Regime Shift' Concept in Addressing Social-Ecological Change
Using the ‘regime shift’ concept in addressing social-ecological change Christian A. Kull*a, b Christoph Kuefferc,d David M. Richardsond Ana Sofia Vaze Joana R. Vicentee João Pradinho Honradoe This is an authors’ preprint version of the article published in the journal Geographical Research. The final, definitive version is available through Wiley’s Online Library at http://onlinelibrary.wiley.com/doi/10.1111/1745-5871.12267/full Citation: Kull, C.A., Kueffer, C., Richardson, D.M., Vaz, A.S., Vicente, J.R., Honrado, J.P., (2017). Using the ‘regime shift’ concept in addressing social-ecological change. Geographical Research. 56 (1): 26-41. DOI: 10.1111/1745-5871.12267. *Corresponding author. [email protected] a Institute of Geography and Sustainability, University of Lausanne, Switzerland b Centre for Geography and Environmental Science, Monash University, Australia c Institute of Integrative Biology, Department of Environmental Systems Science, ETH Zurich, Switzerland d Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, South Africa e Research Network in Biodiversity and Evolutionary Biology (InBIO/CIBIO) & Faculty of Sciences, University of Porto, Portugal ABSTRACT ‘Regime shift’ has emerged as a key concept in the environmental sciences. The concept has roots in complexity science and its ecological applications and is increasingly applied to intertwined social and ecological phenomena. Yet, what exactly is a regime shift? We explore this question at three nested levels. First, we propose a broad, contingent, multi-perspective epistemological basis for the concept, seeking to build bridges between its complexity theory origins and critiques from science studies, political ecology, and environmental history. -
Regime Shifts: What Are They and Why Do They Matter?* Juan Carlos Rocha, Reinette Biggs, Garry D
Regime Shifts: What are they and why do they matter?* Juan Carlos Rocha, Reinette Biggs, Garry D. Peterson Stockholm Resilience Centre, Stockholm University, Sweden Introduction Regime shifts are large, aBrupt, persistence changes in the function and structure of systems1. They have been documented in a wide range of systems including financial markets, climate, the Brain, social networks and ecosystems2. Regime shifts in ecosystems are policy relevant Because they can affect the flow of ecosystem services that societies rely upon, they are difficult to predict, and often hard or even impossible to reverse2. In ecosystems, regime shifts have Been documented in a broad range of marine, terrestrial and polar ecosystems1. Two well-studied examples include the eutrophication of lakes, when they turn from clear to murky water, affecting fishing productivity and, in extreme cases, human health3; and the transition of coral reefs from coral dominated to macro- algae dominated reefs, leading to the loss of ecosystem services related to tourism, coastal protection and fisheries4. More contested examples include dryland degradation and Artic sea ice loss, where the possiBility of regime shifts exist But researchers disagree aBout the nature and strength of the mechanisms producing the shifts. Proposed examples of regime shifts include the weakening of the Indian Monsoon and the weakening of the Thermohaline circulation in the ocean. Paleoclimatological evidence shows that Both can occur, but how likely they are under present conditions is not well understood5. What these phenomena have in common is that their scientific understanding relies on the same underlying mathematical theory of dynamic systems6. By this understanding, the behavior of a system can be described by a set of equations that define all possible values of the key response variables in the system, for instance coral cover or fish aBundance. -
Achieving Ecological Resilience Through Regime Shift Management R Other Titles in Foundations and Trends in Systems and Control
Full text available at: http://dx.doi.org/10.1561/2600000021 Achieving Ecological Resilience Through Regime Shift Management R Other titles in Foundations and Trends in Systems and Control On the Control of Multi-Agent Systems: A Survey Fei Chen and Wei Ren ISBN: 978-1-68083-582-3 Analysis and Synthesis of Reset Control Systems Christophe Prieur, Isabelle Queinnec, Sophie Tarbouriech and Luca Zaccarian ISBN: 978-1-68083-522-9 Control and State Estimation for Max-Plus Linear Systems Laurent Hardouin, Bertrand Cottenceau, Ying Shang and Jorg Raisch ISBN: 978-1-68083-544-1 Full text available at: http://dx.doi.org/10.1561/2600000021 Achieving Ecological Resilience Through Regime Shift Management M. D. Lemmon Department of Electrical Engineering University of Notre Dame USA [email protected] Boston — Delft Full text available at: http://dx.doi.org/10.1561/2600000021 Foundations and Trends R in Systems and Control Published, sold and distributed by: now Publishers Inc. PO Box 1024 Hanover, MA 02339 United States Tel. +1-781-985-4510 www.nowpublishers.com [email protected] Outside North America: now Publishers Inc. PO Box 179 2600 AD Delft The Netherlands Tel. +31-6-51115274 The preferred citation for this publication is M. D. Lemmon. Achieving Ecological Resilience Through Regime Shift Management. Foundations and Trends R in Systems and Control, vol. 7, no. 4, pp. 384–499, 2020. ISBN: 978-1-68083-717-9 c 2020 M. D. Lemmon All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, mechanical, photocopying, recording or otherwise, without prior written permission of the publishers. -
Beauty Is in the Eye of the Beholder: Management of Baltic Cod Stock Requires an Ecosystem Approach
Vol. 431: 293–297, 2011 MARINE ECOLOGY PROGRESS SERIES Published June 9 doi: 10.3354/meps09205 Mar Ecol Prog Ser COMMENT Beauty is in the eye of the beholder: management of Baltic cod stock requires an ecosystem approach Christian Möllmann1, Thorsten Blenckner2, Michele Casini3, Anna Gårdmark4, Martin Lindegren5 1Institute for Hydrobiology and Fisheries Science, University of Hamburg, Grosse Elbstrasse 133, 22767 Hamburg, Germany 2Baltic Nest Institute, Stockholm Resilience Centre, Stockholm University, 10691 Stockholm, Sweden 3Swedish Board of Fisheries, Institute of Marine Research, PO Box 4, 453 21 Lysekil, Sweden 4Institute of Coastal Research, Swedish Board of Fisheries, Skolgatan 6, 74242O Öregrund, Sweden 5National Institute of Aquatic Resources, Technical University of Denmark, Charlottenlund Slot, 2920 Charlottenlund, Denmark ABSTRACT: In a recent ‘As We See It’ article, Cardinale & Svedäng (2011; Mar Ecol Prog Ser 425:297–301) used the example of the Eastern Baltic (EB) cod stock to argue that the concept of ecosystem regime shifts, especially the potential existence of alternative stable states (or dynamic regimes), blurs the fact that human exploitation (i.e. fishing) is the strongest impact on marine ecosys- tems. They further concluded that single-species approaches to resource management are function- ing and that ecosystem-based approaches are not necessary. We (1) argue that the recent increase in the EB cod stock is inherently uncertain, (2) discuss the critique of the regime shift concept, and (3) describe why the EB cod stock dynamics demonstrates the need for an ecosystem approach to fisheries management. KEY WORDS: Baltic cod · Climate · Ecosystem approach · Regime shifts · Hysteresis · Uncertainty Resale or republication not permitted without written consent of the publisher Uncertainty in estimating stock recovery of recruits from slightly above-average recruitment to almost double — the highest level of recruitment in the The article by Cardinale & Svedäng (2011) is based past 2 decades. -
Bull Kelp (Nereocystic Lutkeana) Restoration and Management in Northern California
The University of San Francisco USF Scholarship: a digital repository @ Gleeson Library | Geschke Center Master's Projects and Capstones Theses, Dissertations, Capstones and Projects Spring 5-14-2020 Bull Kelp (Nereocystic lutkeana) Restoration and Management in Northern California Olivia Johnson [email protected] Follow this and additional works at: https://repository.usfca.edu/capstone Part of the Marine Biology Commons, Natural Resources and Conservation Commons, Natural Resources Management and Policy Commons, Other Environmental Sciences Commons, Other Plant Sciences Commons, Sustainability Commons, and the Terrestrial and Aquatic Ecology Commons Recommended Citation Johnson, Olivia, "Bull Kelp (Nereocystic lutkeana) Restoration and Management in Northern California" (2020). Master's Projects and Capstones. 1035. https://repository.usfca.edu/capstone/1035 This Project/Capstone is brought to you for free and open access by the Theses, Dissertations, Capstones and Projects at USF Scholarship: a digital repository @ Gleeson Library | Geschke Center. It has been accepted for inclusion in Master's Projects and Capstones by an authorized administrator of USF Scholarship: a digital repository @ Gleeson Library | Geschke Center. For more information, please contact [email protected]. This Master’s Project Bull Kelp (Nereocystic lutkeana) Restoration and Management in Northern California by Olivia Johnson is submitted in partial fulfillment of the requirements for the degree of: Master of Science in Environmental Management at the University of San Francisco May 10, 2020 Submitted: Received: 5/10/2020 ________________________ Olivia Johnson Date Aviva Rossi Date Table of Contents 1. Introduction…………………………………………………………………………..…….1 1.1. Objectives…..…………………………………………………………………………4 1.2. Background…..…………………………………………………………………..……4 1.2.1. Ecology and Geographic Distribution of Global Kelp Forests 1.2.2.