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Yin J, Xue Y, Li Y, Zhang C, Xu B, Ren Y, Chen Y. Efficacy of fisheries management strategies in mitigating ecological, social, and economic risks of climate warming in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2025; 373:123859. [PMID: 39733678 DOI: 10.1016/j.jenvman.2024.123859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 11/17/2024] [Accepted: 12/22/2024] [Indexed: 12/31/2024]
Abstract
Climate change has significantly altered fish population dynamics and marine ecosystems worldwide, resulting in multiple ecological, economic and social risks for sustainable fisheries. As a hotspot of global warming, China is anticipated to face with extensive climate-driven changes in marine fisheries and ecosystems, but a clear and adaptative management strategy has not been established. In this study, we assessed the climate adaptiveness of current fisheries management and alternative strategies with diverse management priorities. Dynamic ecosystem model, Ecosim, was used to quantify the effectiveness of these management options in mitigating ecological, social, and economic risks of climate change, as well as the potential trade-offs. Results showed that under the status quo fisheries management, climate warming would dramatically impair ecosystem structure and function, leading to declines in fishery yields, economic losses in the fishing industry, and potential food security crises. However, these climate-driven risks could be mitigated, or at least minimized, through improved fisheries management. The harvest control rule (HCR) strategy, which responds to climate-induced biomass variations, would be most effective in promoting sustainable fisheries production but limited in offsetting climate-driven economic losses; while multispecies strategies can, in a balanced way, help mitigate climate change impacts on sustainable fishery production, ecosystem health, seafood security, and economic profitability. Furthermore, their capability to offset climate-driven risks would be largely compromised with increasing greenhouse emissions, as no management strategy could sustain current ecological, economic and social levels of fisheries under the high-emission scenario. We emphasize the need to pursue a dual approach that incorporates both reducing greenhouse gas emissions and taking adaptive fisheries management strategies to realize fisheries potential and ensure ecological and socio-economic resilience. Although the dynamic model cannot incorporate climate-driven spatial variations, the insights and framework from this work can support the identification of climate-resilient management strategies over long-term and provide guidance on achieving climate-ready fisheries in China and other regions.
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Affiliation(s)
- Jie Yin
- Laboratory of Fisheries Ecosystem Monitoring and Assessment, College of Fisheries, Ocean University of China, Qingdao, 266003, China; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794, USA; Field Observation and Research Station of Haizhou Bay Fishery Ecosystem, Ministry of Education, Qingdao, 266003, China
| | - Ying Xue
- Laboratory of Fisheries Ecosystem Monitoring and Assessment, College of Fisheries, Ocean University of China, Qingdao, 266003, China; Field Observation and Research Station of Haizhou Bay Fishery Ecosystem, Ministry of Education, Qingdao, 266003, China
| | - Yunzhou Li
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Chongliang Zhang
- Laboratory of Fisheries Ecosystem Monitoring and Assessment, College of Fisheries, Ocean University of China, Qingdao, 266003, China; Field Observation and Research Station of Haizhou Bay Fishery Ecosystem, Ministry of Education, Qingdao, 266003, China
| | - Binduo Xu
- Laboratory of Fisheries Ecosystem Monitoring and Assessment, College of Fisheries, Ocean University of China, Qingdao, 266003, China; Field Observation and Research Station of Haizhou Bay Fishery Ecosystem, Ministry of Education, Qingdao, 266003, China
| | - Yiping Ren
- Laboratory of Fisheries Ecosystem Monitoring and Assessment, College of Fisheries, Ocean University of China, Qingdao, 266003, China; Field Observation and Research Station of Haizhou Bay Fishery Ecosystem, Ministry of Education, Qingdao, 266003, China.
| | - Yong Chen
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794, USA
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2
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Stock A, Murray CC, Gregr EJ, Steenbeek J, Woodburn E, Micheli F, Christensen V, Chan KMA. Exploring multiple stressor effects with Ecopath, Ecosim, and Ecospace: Research designs, modeling techniques, and future directions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 869:161719. [PMID: 36693571 DOI: 10.1016/j.scitotenv.2023.161719] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 01/04/2023] [Accepted: 01/15/2023] [Indexed: 06/17/2023]
Abstract
Understanding the cumulative effects of multiple stressors is a research priority in environmental science. Ecological models are a key component of tackling this challenge because they can simulate interactions between the components of an ecosystem. Here, we ask, how has the popular modeling platform Ecopath with Ecosim (EwE) been used to model human impacts related to climate change, land and sea use, pollution, and invasive species? We conducted a literature review encompassing 166 studies covering stressors other than fishing mostly in aquatic ecosystems. The most modeled stressors were physical climate change (60 studies), species introductions (22), habitat loss (21), and eutrophication (20), using a range of modeling techniques. Despite this comprehensive coverage, we identified four gaps that must be filled to harness the potential of EwE for studying multiple stressor effects. First, only 12% of studies investigated three or more stressors, with most studies focusing on single stressors. Furthermore, many studies modeled only one of many pathways through which each stressor is known to affect ecosystems. Second, various methods have been applied to define environmental response functions representing the effects of single stressors on species groups. These functions can have a large effect on the simulated ecological changes, but best practices for deriving them are yet to emerge. Third, human dimensions of environmental change - except for fisheries - were rarely considered. Fourth, only 3% of studies used statistical research designs that allow attribution of simulated ecosystem changes to stressors' direct effects and interactions, such as factorial (computational) experiments. None made full use of the statistical possibilities that arise when simulations can be repeated many times with controlled changes to the inputs. We argue that all four gaps are feasibly filled by integrating ecological modeling with advances in other subfields of environmental science and in computational statistics.
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Affiliation(s)
- A Stock
- Institute for Resources, Environment and Sustainability, University of British Columbia, AERL Building, 429-2202 Main Mall, Vancouver V6T 1Z4, BC, Canada.
| | - C C Murray
- Fisheries and Oceans Canada, Institute of Ocean Sciences, 9860 West Saanich Road, Sidney, BC V8L 5T5, Canada
| | - E J Gregr
- Institute for Resources, Environment and Sustainability, University of British Columbia, AERL Building, 429-2202 Main Mall, Vancouver V6T 1Z4, BC, Canada; SciTech Environmental Consulting, Vancouver, BC, Canada
| | - J Steenbeek
- Ecopath International Initiative (EII) Research Association, Barcelona, Spain
| | - E Woodburn
- Institute for Resources, Environment and Sustainability, University of British Columbia, AERL Building, 429-2202 Main Mall, Vancouver V6T 1Z4, BC, Canada
| | - F Micheli
- Hopkins Marine Station, Oceans Department, Stanford University, Pacific Grove, CA 93950, USA; Stanford Center for Ocean Solutions, Pacific Grove, CA 93950, USA
| | - V Christensen
- Ecopath International Initiative (EII) Research Association, Barcelona, Spain; Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada
| | - K M A Chan
- Institute for Resources, Environment and Sustainability, University of British Columbia, AERL Building, 429-2202 Main Mall, Vancouver V6T 1Z4, BC, Canada; Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada
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3
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Nelson CE, Wegley Kelly L, Haas AF. Microbial Interactions with Dissolved Organic Matter Are Central to Coral Reef Ecosystem Function and Resilience. ANNUAL REVIEW OF MARINE SCIENCE 2023; 15:431-460. [PMID: 36100218 DOI: 10.1146/annurev-marine-042121-080917] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
To thrive in nutrient-poor waters, coral reefs must retain and recycle materials efficiently. This review centers microbial processes in facilitating the persistence and stability of coral reefs, specifically the role of these processes in transforming and recycling the dissolved organic matter (DOM) that acts as an invisible currency in reef production, nutrient exchange, and organismal interactions. The defining characteristics of coral reefs, including high productivity, balanced metabolism, high biodiversity, nutrient retention, and structural complexity, are inextricably linked to microbial processing of DOM. The composition of microbes and DOM in reefs is summarized, and the spatial and temporal dynamics of biogeochemical processes carried out by microorganisms in diverse reef habitats are explored in a variety of key reef processes, including decomposition, accretion, trophictransfer, and macronutrient recycling. Finally, we examine how widespread habitat degradation of reefs is altering these important microbe-DOM interactions, creating feedbacks that reduce reef resilience to global change.
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Affiliation(s)
- Craig E Nelson
- Daniel K. Inouye Center for Microbial Oceanography: Research and Education, Department of Oceanography, and Sea Grant College Program, School of Ocean and Earth Sciences and Technology, University of Hawai'i at Mānoa, Honolulu, Hawai'i, USA;
| | - Linda Wegley Kelly
- Marine Biology Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA;
| | - Andreas F Haas
- Department of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research (NIOZ), Texel, The Netherlands;
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4
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Culling corallivores improves short-term coral recovery under bleaching scenarios. Nat Commun 2022; 13:2520. [PMID: 35534497 PMCID: PMC9085818 DOI: 10.1038/s41467-022-30213-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 04/21/2022] [Indexed: 12/02/2022] Open
Abstract
Management of coral predators, corallivores, is recommended to improve coral cover on tropical coral reefs under projected increasing levels of accumulated thermal stress, but whether corallivore management can improve coral cover, which is necessary for large-scale operationalisation, remains equivocal. Here, using a multispecies ecosystem model, we investigate intensive management of an invertebrate corallivore, the Crown-of-Thorns Starfish (Acanthaster cf. solaris), and show that culling could improve coral cover at sub-reef spatial scales, but efficacy varied substantially within and among reefs. Simulated thermal stress events attenuated management-derived coral cover improvements and was dependent on the level of accumulated thermal stress, the thermal sensitivity of coral communities and the rate of corallivore recruitment at fine spatial scales. Corallivore management was most effective when accumulated thermal stress was low, coral communities were less sensitive to heat stress and in areas of high corallivore recruitment success. Our analysis informs how to manage a pest species to promote coral cover under future thermal stress events. This study uses multispecies modelling to show that the management of a coral predator, the crown-of-thorns starfish, could help corals recover following bleaching events. They show that management was most effective when heat stress severity for corals was low to moderate, when corals had lower heat sensitivity and when the recruitment rate of starfish was high.
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5
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Canty SWJ, Fox G, Rowntree JK, Preziosi RF. Genetic structure of a remnant Acropora cervicornis population. Sci Rep 2021; 11:3523. [PMID: 33568733 PMCID: PMC7876111 DOI: 10.1038/s41598-021-83112-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 01/13/2021] [Indexed: 01/30/2023] Open
Abstract
Amongst the global decline of coral reefs, hope spots such as Cordelia Bank in Honduras, have been identified. This site contains dense, remnant thickets of the endangered species Acropora cervicornis, which local managers and conservation organizations view as a potential source population for coral restoration projects. The aim of this study was to determine the genetic diversity of colonies across three banks within the protected area. We identified low genetic diversity (FST = 0.02) across the three banks, and genetic similarity of colonies ranged from 91.3 to 95.8% between the banks. Clonality rates were approximately 30% across the three banks, however, each genotype identified was unique to each bank. Despite the low genetic diversity, subtle genetic differences within and among banks were demonstrated, and these dense thickets were shown not to be comprised of a single or a few genotypes. The presence of multiple genotypes suggests A. cervicornis colonies from these banks could be used to maintain and enhance genetic diversity in restoration projects. Management of hope spots, such as Cordelia Bank, and the incorporation of genetic information into restoration projects to ensure genetic diversity within out-planted populations, will be critical in the ongoing challenge of conserving and preserving coral reefs.
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Affiliation(s)
- Steven W. J. Canty
- grid.1214.60000 0000 8716 3312Working Land and Seascapes, Conservation Commons, Smithsonian Institution, Washington, DC 20013 USA ,grid.452909.30000 0001 0479 0204Smithsonian Marine Station, 701 Seaway Drive, Fort Pierce, FL 34949 USA ,grid.25627.340000 0001 0790 5329Department of Natural Sciences, Ecology and Environment Research Centre, Manchester Metropolitan University, Manchester, M1 5GD UK ,Centro de Estudios Marinos, Tegucigalpa, Honduras
| | - Graeme Fox
- grid.25627.340000 0001 0790 5329Department of Natural Sciences, Ecology and Environment Research Centre, Manchester Metropolitan University, Manchester, M1 5GD UK
| | - Jennifer K. Rowntree
- grid.25627.340000 0001 0790 5329Department of Natural Sciences, Ecology and Environment Research Centre, Manchester Metropolitan University, Manchester, M1 5GD UK
| | - Richard F. Preziosi
- grid.25627.340000 0001 0790 5329Department of Natural Sciences, Ecology and Environment Research Centre, Manchester Metropolitan University, Manchester, M1 5GD UK
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6
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Foo SA, Walsh WJ, Lecky J, Marcoux S, Asner GP. Impacts of pollution, fishing pressure, and reef rugosity on resource fish biomass in West Hawaii. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2021; 31:e2213. [PMID: 32750738 DOI: 10.1002/eap.2213] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 05/27/2020] [Accepted: 06/19/2020] [Indexed: 06/11/2023]
Abstract
Human activities and land-use drivers combine in complex ways to affect coral reef health and, in turn, the diversity and abundance of reef fauna. Here we examine the impacts of different marine protected area (MPA) types, and various human and habitat drivers, on resource fish functional groups (i.e., total fish, herbivore, grazer, scraper, and browser biomass) along the 180 km west coast of Hawaii Island. Across survey years from 2008 to 2018, we observed an overall decrease in total fish biomass of 45%, with similar decreases in biomass seen across most fish functional groups. MPAs that prohibited a combination of lay nets, aquarium collection, and spear fishing were most effective in maintaining and/or increasing fish biomass across all functional groups. We also found that pollution, fishing, and habitat drivers all contributed to changes in total fish biomass, where the most negative impact was nitrogen input from land-based sewage disposal. Fish biomass relationships with our study drivers depended on fish functional grouping. For surgeonfish (grazers), changes in biomass linked most strongly to changes in reef rugosity. For parrotfish (scrapers), biomass was better explained by changes in commercial catch where current commercial fishing levels are negatively affecting scraper populations. Our observations suggest that regional management of multiple factors, including habitat, pollution, and fisheries, will benefit resource fish biomass off Hawaii Island.
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Affiliation(s)
- Shawna A Foo
- Center for Global Discovery and Conservation Science, Arizona State University, Tempe, Arizona, 85287, USA
| | - William J Walsh
- Hawaii Division of Aquatic Resources, 74-380B Kealakehe Parkway, Kailua Kona, Hawaii, 96740, USA
| | - Joey Lecky
- Lynker Technologies LLC, Marine, Ocean, and Coastal Science and Information Group, 202 Church Street, SE/Suite 536, Leesburg, Virginia, 20175, USA
| | - Stacia Marcoux
- Pacific Cooperative Studies Unit, Hawaii Division of Aquatic Resources, 75-308B Kealakehe Parkway, Kailua Kona, Hawaii, 96740, USA
| | - Gregory P Asner
- Center for Global Discovery and Conservation Science, Arizona State University, Tempe, Arizona, 85287, USA
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7
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Pelletier MC, Ebersole J, Mulvaney K, Rashleigh B, Gutierrez MN, Chintala M, Kuhn A, Molina M, Bagley M, Lane C. Resilience of aquatic systems: Review and management implications. AQUATIC SCIENCES 2020; 82:1-44. [PMID: 32489242 PMCID: PMC7265686 DOI: 10.1007/s00027-020-00717-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Our understanding of how ecosystems function has changed from an equilibria-based view to one that recognizes the dynamic, fluctuating, nonlinear nature of aquatic systems. This current understanding requires that we manage systems for resilience. In this review, we examine how resilience has been defined, measured and applied in aquatic systems, and more broadly, in the socioecological systems in which they are embedded. Our review reveals the importance of managing stressors adversely impacting aquatic system resilience, as well as understanding the environmental and climatic cycles and changes impacting aquatic resources. Aquatic resilience may be enhanced by maintaining and enhancing habitat connectivity as well as functional redundancy and physical and biological diversity. Resilience in aquatic socioecological system may be enhanced by understanding and fostering linkages between the social and ecological subsystems, promoting equity among stakeholders, and understanding how the system is impacted by factors within and outside the area of immediate interest. Management for resilience requires implementation of adaptive and preferably collaborative management. Implementation of adaptive management for resilience will require an effective monitoring framework to detect key changes in the coupled socioecological system. Research is needed to (1) develop sensitive indicators and monitoring designs, (2) disentangle complex multi-scalar interactions and feedbacks, and (3) generalize lessons learned across aquatic ecosystems and apply them in new contexts.
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Affiliation(s)
- Marguerite C Pelletier
- Office of Research and Development, Center for Environmental Measurement and Modeling, Atlantic Coastal Environmental Sciences Division, U.S. Environmental Protection Agency, Narragansett, RI, USA
| | - Joe Ebersole
- Office of Research and Development, Center for Public Health and Environmental Assessment, Pacific Ecology Division, U.S. Environmental Protection Agency, Corvallis, OR, USA
| | - Kate Mulvaney
- Office of Research and Development, Center for Environmental Measurement and Modeling, Atlantic Coastal Environmental Sciences Division, U.S. Environmental Protection Agency, Narragansett, RI, USA
| | - Brenda Rashleigh
- Office of Research and Development, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Narragansett, RI, USA
| | | | - Marnita Chintala
- Office of Research and Development, Center for Environmental Measurement and Modeling, Atlantic Coastal Environmental Sciences Division, U.S. Environmental Protection Agency, Narragansett, RI, USA
| | - Anne Kuhn
- Office of Research and Development, Center for Environmental Measurement and Modeling, Atlantic Coastal Environmental Sciences Division, U.S. Environmental Protection Agency, Narragansett, RI, USA
| | - Marirosa Molina
- Office of Research and Development, Center for Environmental Measurement and Modeling, Watershed and Ecosystem Characterization Division, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Mark Bagley
- Office of Research and Development, Center for Environmental Measurement and Modeling, Watershed and Ecosystem Characterization Division, U.S. Environmental Protection Agency, Cincinnati, OH, USA
| | - Chuck Lane
- Office of Research and Development, Center for Environmental Measurement and Modeling, Watershed and Ecosystem Characterization Division, U.S. Environmental Protection Agency, Cincinnati, OH, USA
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8
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Jouffray JB, Wedding LM, Norström AV, Donovan MK, Williams GJ, Crowder LB, Erickson AL, Friedlander AM, Graham NAJ, Gove JM, Kappel CV, Kittinger JN, Lecky J, Oleson KLL, Selkoe KA, White C, Williams ID, Nyström M. Parsing human and biophysical drivers of coral reef regimes. Proc Biol Sci 2020; 286:20182544. [PMID: 30963937 PMCID: PMC6408596 DOI: 10.1098/rspb.2018.2544] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Coral reefs worldwide face unprecedented cumulative anthropogenic effects of interacting local human pressures, global climate change and distal social processes. Reefs are also bound by the natural biophysical environment within which they exist. In this context, a key challenge for effective management is understanding how anthropogenic and biophysical conditions interact to drive distinct coral reef configurations. Here, we use machine learning to conduct explanatory predictions on reef ecosystems defined by both fish and benthic communities. Drawing on the most spatially extensive dataset available across the Hawaiian archipelago—20 anthropogenic and biophysical predictors over 620 survey sites—we model the occurrence of four distinct reef regimes and provide a novel approach to quantify the relative influence of human and environmental variables in shaping reef ecosystems. Our findings highlight the nuances of what underpins different coral reef regimes, the overwhelming importance of biophysical predictors and how a reef's natural setting may either expand or narrow the opportunity space for management interventions. The methods developed through this study can help inform reef practitioners and hold promises for replication across a broad range of ecosystems.
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Affiliation(s)
- Jean-Baptiste Jouffray
- 1 Stockholm Resilience Centre, Stockholm University , Stockholm , Sweden.,2 Global Economic Dynamics and the Biosphere Academy Programme, Royal Swedish Academy of Sciences , Stockholm , Sweden
| | - Lisa M Wedding
- 3 Stanford Center for Ocean Solutions, Stanford University , Stanford, CA 94305 , USA
| | - Albert V Norström
- 1 Stockholm Resilience Centre, Stockholm University , Stockholm , Sweden
| | - Mary K Donovan
- 4 Hawai'i Institute of Marine Biology, University of Hawai'i at Mānoa , Kaneohe, HI 96744 , USA
| | - Gareth J Williams
- 5 School of Ocean Sciences, Bangor University , Anglesey LL59 5AB , UK
| | - Larry B Crowder
- 6 Hopkins Marine Station, Stanford University , Pacific Grove, CA 9395 , USA
| | - Ashley L Erickson
- 3 Stanford Center for Ocean Solutions, Stanford University , Stanford, CA 94305 , USA
| | - Alan M Friedlander
- 7 Pristine Seas, National Geographic Society , Washington, DC 20036 , USA
| | - Nicholas A J Graham
- 8 Lancaster Environment Centre, Lancaster University , Lancaster LA1 4YQ , UK
| | - Jamison M Gove
- 9 Ecosystem Science Division, Pacific Islands Fisheries Science Center, National Oceanic Atmospheric Administration , Honolulu, HI, 96818 , USA
| | - Carrie V Kappel
- 10 National Center for Ecological Analysis and Synthesis, University of California Santa Barbara , Santa Barbara, CA 93101 , USA
| | - John N Kittinger
- 11 Center for Oceans, Conservation International , Honolulu, HI 96825 , USA.,12 Julie Ann Wrigley Global Institute of Sustainability, Arizona State University , Tempe, AZ 85281 , USA
| | - Joey Lecky
- 13 Department of Natural Resources and Environmental Management, University of Hawai'i at Mānoa , Honolulu, HI 96822 , USA
| | - Kirsten L L Oleson
- 13 Department of Natural Resources and Environmental Management, University of Hawai'i at Mānoa , Honolulu, HI 96822 , USA
| | - Kimberly A Selkoe
- 10 National Center for Ecological Analysis and Synthesis, University of California Santa Barbara , Santa Barbara, CA 93101 , USA
| | - Crow White
- 14 Department of Biological Sciences, California Polytechnic State University , San Luis Obispo, CA 93407 , USA
| | - Ivor D Williams
- 9 Ecosystem Science Division, Pacific Islands Fisheries Science Center, National Oceanic Atmospheric Administration , Honolulu, HI, 96818 , USA
| | - Magnus Nyström
- 1 Stockholm Resilience Centre, Stockholm University , Stockholm , Sweden
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9
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Thinesh T, Meenatchi R, Jose PA, Kiran GS, Selvin J. Differential bleaching and recovery pattern of southeast Indian coral reef to 2016 global mass bleaching event: Occurrence of stress-tolerant symbiont Durusdinium (Clade D) in corals of Palk Bay. MARINE POLLUTION BULLETIN 2019; 145:287-294. [PMID: 31590790 DOI: 10.1016/j.marpolbul.2019.05.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Revised: 05/09/2019] [Accepted: 05/15/2019] [Indexed: 06/10/2023]
Abstract
Information about coral community response to bleaching on Indian reefs is much more limited compared with Indo-Pacific reefs, with no understanding of algal symbionts. We investigated a reef in Palk Bay to understand the coral community response to 2016 bleaching event and to reveal dominant symbiont type association in four common coral genera. Out of 508 colonies surveyed, we found 20.9% (106) mortality in 53.8% (n = 290) of bleached corals. We found differential bleaching and recovery pattern among coral genera. Bleaching was most prevalent in Acropora (86.36%), followed by Porites (65.45%), while moderate to no bleaching was recorded in Favites 5.88%, Symphyllia 51.11% and Favia 55.77%, Platygyra 41.67%, Goniastrea 41.83%. Pre-bleaching and post bleaching samplings revealed changes in dominant symbiont type following bleaching only in Acropora (Cladocopium, Clade C to Durusdinium Clade D) while no such changes were found in other coral genera hosted Clade D. This is the first observation of coral symbiont diversity in the Indian reef.
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Affiliation(s)
- T Thinesh
- Department of Microbiology, School of Life Sciences, Pondicherry University, Puducherry, India; Department of Biological Sciences, Florida International University, Miami, FL 33199, United States of America
| | - R Meenatchi
- Department of Microbiology, School of Life Sciences, Pondicherry University, Puducherry, India
| | - Polpass Arul Jose
- Marine Biotechnology and Ecology Division, CSIR - Central Salt and Marine Research Institute (CSIR-CSMCRI), Bhavnagar, India
| | - G Seghal Kiran
- Department of Food Science and Technology, School of Life Sciences, Pondicherry University, Puducherry, India
| | - Joseph Selvin
- Department of Microbiology, School of Life Sciences, Pondicherry University, Puducherry, India.
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10
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Stosch KC, Quilliam RS, Bunnefeld N, Oliver DM. Quantifying stakeholder understanding of an ecosystem service trade-off. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 651:2524-2534. [PMID: 30340188 DOI: 10.1016/j.scitotenv.2018.10.090] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 09/22/2018] [Accepted: 10/07/2018] [Indexed: 06/08/2023]
Abstract
Sustainable management of global natural resources is challenged by social and environmental drivers, adding pressure to ecosystem service provision in many regions of the world where there are competing demands on environmental resources. Understanding trade-offs between ecosystem services and how they are valued by different stakeholder groups is therefore critical to maximise benefits and avoid conflict between competing uses. In this study we developed a novel participatory trade-off experiment to elicit the perception of 43 participants, from across four key stakeholder groups, working in land and water management (Environmental Regulators, Farming Advisors, Water Industry Staff and Catchment Scientists). Using the Production Possibility Frontier (PPF) concept, we quantified stakeholder assessment of both the shape and the uncertainty around the PPF in a trade-off between agricultural intensity and the ecological health of freshwater systems. The majority of stakeholder groups selected threshold and logistic decay trade-off curves to describe the relationship of the trade-off, and estimated the uncertainty around the curves to be intermediate or large. The views of the four stakeholder groups differed significantly regarding how they estimated stakeholder trade-off prioritisation; the largest difference in perspectives was identified between Environmental Regulators and Farm Advisors. The methodology considered the cultural, socio-economic and institutional specificities of an ecosystem service interaction and identified potential sources of conflict but also possible solutions for win-win opportunities to explore and share understanding between stakeholders. Valuing stakeholder knowledge as a form of expert data and integrating this into participatory decision-making processes for land and water management thus contributes considerable value beyond traditional approaches to ecosystem service assessments.
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Affiliation(s)
- Kathleen C Stosch
- Biological & Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK.
| | - Richard S Quilliam
- Biological & Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
| | - Nils Bunnefeld
- Biological & Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
| | - David M Oliver
- Biological & Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
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