1
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Meyer AS, Pigot AL, Merow C, Kaschner K, Garilao C, Kesner-Reyes K, Trisos CH. Temporal dynamics of climate change exposure and opportunities for global marine biodiversity. Nat Commun 2024; 15:5836. [PMID: 39009588 PMCID: PMC11251284 DOI: 10.1038/s41467-024-49736-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 06/17/2024] [Indexed: 07/17/2024] Open
Abstract
Climate change is exposing marine species to unsuitable temperatures while also creating new thermally suitable habitats of varying persistence. However, understanding how these different dynamics will unfold over time remains limited. We use yearly sea surface temperature projections to estimate temporal dynamics of thermal exposure (when temperature exceeds realised species' thermal limits) and opportunity (when temperature at a previously unsuitable site becomes suitable) for 21,696 marine species globally until 2100. Thermal opportunities are projected to arise earlier and accumulate gradually, especially in temperate and polar regions. Thermal exposure increases later and occurs more abruptly, mainly in the tropics. Assemblages tend to show either high exposure or high opportunity, but seldom both. Strong emissions reductions reduce exposure around 100-fold whereas reductions in opportunities are halved. Globally, opportunities are projected to emerge faster than exposure until mid-century when exposure increases more rapidly under a high emissions scenario. Moreover, across emissions and dispersal scenarios, 76%-97% of opportunities are projected to persist until 2100. These results indicate thermal opportunities could be a major source of marine biodiversity change, especially in the near- and mid-term. Our work provides a framework for predicting where and when thermal changes will occur to guide monitoring efforts.
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Affiliation(s)
- Andreas Schwarz Meyer
- African Climate and Development Initiative, University of Cape Town, Cape Town, South Africa.
| | - Alex L Pigot
- Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Cory Merow
- Department of Ecology and Evolutionary Biology and Eversource Energy Center, University of Connecticut, Storrs, CT, USA
| | - Kristin Kaschner
- Department of Biometry and Environmental Systems Analysis, Albert-Ludwigs University, Freiburg im Breisgau, Germany
| | | | | | - Christopher H Trisos
- African Climate and Development Initiative, University of Cape Town, Cape Town, South Africa.
- African Synthesis Centre for Climate Change Environment and Development (ASCEND), University of Cape Town, Cape Town, South Africa.
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2
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Coro G, Bove P, Kesner-Reyes K. Global-scale parameters for ecological models. Sci Data 2023; 10:7. [PMID: 36599846 DOI: 10.1038/s41597-022-01904-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 12/14/2022] [Indexed: 01/05/2023] Open
Abstract
This paper presents a collection of environmental, geophysical, and other marine-related data for marine ecological models and ecological-niche models. It consists of 2132 raster data for 58 distinct parameters at regional and global scales in the ESRI-GRID ASCII format. Most data originally belonged to open data owned by the authors of this article but residing on heterogeneous repositories with different formats and resolutions. Other data were specifically created for the present publication. The collection includes 565 data with global scale range; 154 at 0.5° resolution and 411 at 0.1° resolution; 196 data with annual temporal aggregation over ~10 key years between 1950 and 2100; 369 data with monthly aggregation at 0.1° resolution from January 2017 to ~May 2021 continuously. Data were also cut out on 8 European marine regions. The collection also includes forecasts for different future scenarios such as the Representative Concentration Pathways 2.6 (63 data), 4.5 (162 data), and 8.5 (162 data), and the A2 scenario of the Intergovernmental Panel on Climate Change (180 data).
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Grants
- 101000302 EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Societal Challenges | H2020 Food (H2020 Societal Challenges - Food Security, Sustainable Agriculture and Forestry, Marine, Maritime and Inland Water Research, and the Bioeconomy)
- 101000302 EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Societal Challenges | H2020 Food (H2020 Societal Challenges - Food Security, Sustainable Agriculture and Forestry, Marine, Maritime and Inland Water Research, and the Bioeconomy)
- 101000302 EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Societal Challenges | H2020 Food (H2020 Societal Challenges - Food Security, Sustainable Agriculture and Forestry, Marine, Maritime and Inland Water Research, and the Bioeconomy)
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Affiliation(s)
- Gianpaolo Coro
- Institute of Information Science and Technologies, Italian National Research Council, Pisa, 56124, Italy.
| | - Pasquale Bove
- Institute of Information Science and Technologies, Italian National Research Council, Pisa, 56124, Italy
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3
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Koehn LE, Nelson LK, Samhouri JF, Norman KC, Jacox MG, Cullen AC, Fiechter J, Pozo Buil M, Levin PS. Social-ecological vulnerability of fishing communities to climate change: A U.S. West Coast case study. PLoS One 2022; 17:e0272120. [PMID: 35976855 PMCID: PMC9385011 DOI: 10.1371/journal.pone.0272120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 07/12/2022] [Indexed: 11/18/2022] Open
Abstract
Climate change is already impacting coastal communities, and ongoing and future shifts in fisheries species productivity from climate change have implications for the livelihoods and cultures of coastal communities. Harvested marine species in the California Current Large Marine Ecosystem support U.S. West Coast communities economically, socially, and culturally. Ecological vulnerability assessments exist for individual species in the California Current but ecological and human vulnerability are linked and vulnerability is expected to vary by community. Here, we present automatable, reproducible methods for assessing the vulnerability of U.S. West Coast fishing dependent communities to climate change within a social-ecological vulnerability framework. We first assessed the ecological risk of marine resources, on which fishing communities rely, to 50 years of climate change projections. We then combined this with the adaptive capacity of fishing communities, based on social indicators, to assess the potential ability of communities to cope with future changes. Specific communities (particularly in Washington state) were determined to be at risk to climate change mainly due to economic reliance on at risk marine fisheries species, like salmon, hake, or sea urchins. But, due to higher social adaptive capacity, these communities were often not found to be the most vulnerable overall. Conversely, certain communities that were not the most at risk, ecologically and economically, ranked in the category of highly vulnerable communities due to low adaptive capacity based on social indicators (particularly in Southern California). Certain communities were both ecologically at risk due to catch composition and socially vulnerable (low adaptive capacity) leading to the highest tier of vulnerability. The integration of climatic, ecological, economic, and societal data reveals that factors underlying vulnerability are variable across fishing communities on the U.S West Coast, and suggests the need to develop a variety of well-aligned strategies to adapt to the ecological impacts of climate change.
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Affiliation(s)
- Laura E. Koehn
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States of America
- * E-mail:
| | - Laura K. Nelson
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States of America
| | - Jameal F. Samhouri
- Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, United States of America
| | - Karma C. Norman
- Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA, United States of America
| | - Michael G. Jacox
- Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Monterey, CA, United States of America
| | - Alison C. Cullen
- Evans School of Public Policy and Governance, University of Washington, Seattle, WA, United States of America
| | - Jerome Fiechter
- Ocean Sciences Department, University of California at Santa Cruz, Santa Cruz, CA, United States of America
| | - Mercedes Pozo Buil
- Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Monterey, CA, United States of America
- Institute of Marine Sciences, University of California Santa Cruz, Santa Cruz, CA, United States of America
| | - Phillip S. Levin
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States of America
- The Nature Conservancy in Washington, Seattle, WA, United States of America
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4
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More than half of data deficient species predicted to be threatened by extinction. Commun Biol 2022; 5:679. [PMID: 35927327 PMCID: PMC9352662 DOI: 10.1038/s42003-022-03638-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 06/24/2022] [Indexed: 11/08/2022] Open
Abstract
The IUCN Red List of Threatened Species is essential for practical and theoretical efforts to protect biodiversity. However, species classified as “Data Deficient” (DD) regularly mislead practitioners due to their uncertain extinction risk. Here we present machine learning-derived probabilities of being threatened by extinction for 7699 DD species, comprising 17% of the entire IUCN spatial datasets. Our predictions suggest that DD species as a group may in fact be more threatened than data-sufficient species. We found that 85% of DD amphibians are likely to be threatened by extinction, as well as more than half of DD species in many other taxonomic groups, such as mammals and reptiles. Consequently, our predictions indicate that, amongst others, the conservation relevance of biodiversity hotspots in South America may be boosted by up to 20% if DD species were acknowledged. The predicted probabilities for DD species are highly variable across taxa and regions, implying current Red List-derived indices and priorities may be biased. Data Deficient species are more likely to be at extinction risk than previously thought across multiple taxonomic groups.
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5
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Roberson LA, Beyer HL, O'Hara C, Watson JEM, Dunn DC, Halpern BS, Klein CJ, Frazier MR, Kuempel CD, Williams B, Grantham HS, Montgomery JC, Kark S, Runting RK. Multinational coordination required for conservation of over 90% of marine species. GLOBAL CHANGE BIOLOGY 2021; 27:6206-6216. [PMID: 34488246 DOI: 10.1111/gcb.15844] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 08/05/2021] [Indexed: 06/13/2023]
Abstract
Marine species are declining at an unprecedented rate, catalyzing many nations to adopt conservation and management targets within their jurisdictions. However, marine species and the biophysical processes that sustain them are naive to international borders. An understanding of the prevalence of cross-border species distributions is important for informing high-level conservation strategies, such as bilateral or regional agreements. Here, we examined 28,252 distribution maps to determine the number and locations of transboundary marine plants and animals. More than 90% of species have ranges spanning at least two jurisdictions, with 58% covering more than 10 jurisdictions. All jurisdictions have at least one transboundary species, with the highest concentrations of transboundary species in the USA, Australia, Indonesia, and the Areas Beyond National Jurisdiction. Distributions of mapped biodiversity indicate that overcoming the challenges of multinational governance is critical for a much wider suite of species than migratory megavertebrates and commercially exploited fish stocks-the groups that have received the vast majority of multinational management attention. To effectively protect marine biodiversity, international governance mechanisms (particularly those related to the Convention on Biological Diversity, the Convention on Migratory Species, and Regional Seas Organizations) must be expanded to promote multinational conservation planning, and complimented by a holistic governance framework for biodiversity beyond national jurisdiction.
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Affiliation(s)
- Leslie A Roberson
- School of Earth and Environmental Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Centre for Conservation and Biodiversity Science, The University of Queensland, St Lucia, Queensland, Australia
| | - Hawthorne L Beyer
- Centre for Conservation and Biodiversity Science, The University of Queensland, St Lucia, Queensland, Australia
| | - Casey O'Hara
- National Center for Ecological Analysis and Synthesis, Santa Barbara, California, USA
- Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA
| | - James E M Watson
- Centre for Conservation and Biodiversity Science, The University of Queensland, St Lucia, Queensland, Australia
| | - Daniel C Dunn
- Centre for Conservation and Biodiversity Science, The University of Queensland, St Lucia, Queensland, Australia
- School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Benjamin S Halpern
- National Center for Ecological Analysis and Synthesis, Santa Barbara, California, USA
- Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA
| | - Carissa J Klein
- School of Earth and Environmental Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Centre for Conservation and Biodiversity Science, The University of Queensland, St Lucia, Queensland, Australia
| | - Melanie R Frazier
- National Center for Ecological Analysis and Synthesis, Santa Barbara, California, USA
| | - Caitlin D Kuempel
- School of Earth and Environmental Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Centre for Conservation and Biodiversity Science, The University of Queensland, St Lucia, Queensland, Australia
- National Center for Ecological Analysis and Synthesis, Santa Barbara, California, USA
- Australian Research Council Centre of Excellence for Coral Reef Studies, University of Queensland, St Lucia, Queensland, Australia
| | - Brooke Williams
- School of Earth and Environmental Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Centre for Conservation and Biodiversity Science, The University of Queensland, St Lucia, Queensland, Australia
| | - Hedley S Grantham
- Wildlife Conservation Society, Global Conservation Program, Bronx, New York, USA
| | - Jamie C Montgomery
- National Center for Ecological Analysis and Synthesis, Santa Barbara, California, USA
| | - Salit Kark
- Centre for Conservation and Biodiversity Science, The University of Queensland, St Lucia, Queensland, Australia
- School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Rebecca K Runting
- School of Geography, University of Melbourne, Parkville, Victoria, Australia
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6
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Palacio RD, Negret PJ, Velásquez‐Tibatá J, Jacobson AP. A data‐driven geospatial workflow to map species distributions for conservation assessments. DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13424] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Affiliation(s)
- Ruben Dario Palacio
- Nicholas School of the Environment Duke University Durham North Carolina USA
- Fundación Ecotonos Santiago de Cali Valle del Cauca Colombia
| | - Pablo Jose Negret
- Centre for Biodiversity and Conservation Science University of Queensland Brisbane Queensland Australia
- School of Earth and Environmental Sciences University of Queensland Brisbane Queensland Australia
| | | | - Andrew P. Jacobson
- Department of Environment and Sustainability Catawba College Salisbury North Carolina USA
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7
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Lavender E, Fox CJ, Burrows MT. Modelling the impacts of climate change on thermal habitat suitability for shallow-water marine fish at a global scale. PLoS One 2021; 16:e0258184. [PMID: 34606498 PMCID: PMC8489719 DOI: 10.1371/journal.pone.0258184] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 09/21/2021] [Indexed: 11/19/2022] Open
Abstract
Understanding and predicting the response of marine communities to climate change at large spatial scales, and distilling this information for policymakers, are prerequisites for ecosystem-based management. Changes in thermal habitat suitability across species’ distributions are especially concerning because of their implications for abundance, affecting species’ conservation, trophic interactions and fisheries. However, most predictive studies of the effects of climate change have tended to be sub-global in scale and focused on shifts in species’ range edges or commercially exploited species. Here, we develop a widely applicable methodology based on climate response curves to predict global-scale changes in thermal habitat suitability. We apply the approach across the distributions of 2,293 shallow-water fish species under Representative Concentration Pathways 4.5 and 8.5 by 2050–2100. We find a clear pattern of predicted declines in thermal habitat suitability in the tropics versus general increases at higher latitudes. The Indo-Pacific, the Caribbean and western Africa emerge as the areas of most concern, where high species richness and the strongest declines in thermal habitat suitability coincide. This reflects a pattern of consistently narrow thermal ranges, with most species in these regions already exposed to temperatures above inferred thermal optima. In contrast, in temperate regions, such as northern Europe, where most species live below thermal optima and thermal ranges are wider, positive changes in thermal habitat suitability suggest that these areas are likely to emerge as the greatest beneficiaries of climate change, despite strong predicted temperature increases.
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Affiliation(s)
- Edward Lavender
- The Scottish Association for Marine Science, Scottish Marine Institute, Dunstaffnage, Oban, Argyll, Scotland
- * E-mail:
| | - Clive J. Fox
- The Scottish Association for Marine Science, Scottish Marine Institute, Dunstaffnage, Oban, Argyll, Scotland
| | - Michael T. Burrows
- The Scottish Association for Marine Science, Scottish Marine Institute, Dunstaffnage, Oban, Argyll, Scotland
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8
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Nyboer EA, Lin HY, Bennett JR, Gabriel J, Twardek W, Chhor AD, Daly L, Dolson S, Guitard E, Holder P, Mozzon CM, Trahan A, Zimmermann D, Kesner-Reyes K, Garilao C, Kaschner K, Cooke SJ. Global assessment of marine and freshwater recreational fish reveals mismatch in climate change vulnerability and conservation effort. GLOBAL CHANGE BIOLOGY 2021; 27:4799-4824. [PMID: 34289527 DOI: 10.1111/gcb.15768] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 06/09/2021] [Accepted: 06/21/2021] [Indexed: 06/13/2023]
Abstract
Recreational fisheries contribute substantially to the sociocultural and economic well-being of coastal and riparian regions worldwide, but climate change threatens their sustainability. Fishery managers require information on how climate change will impact key recreational species; however, the absence of a global assessment hinders both directed and widespread conservation efforts. In this study, we present the first global climate change vulnerability assessment of recreationally targeted fish species from marine and freshwater environments (including diadromous fishes). We use climate change projections and data on species' physiological and ecological traits to quantify and map global climate vulnerability and analyze these patterns alongside the indices of socioeconomic value and conservation effort to determine where efforts are sufficient and where they might fall short. We found that over 20% of recreationally targeted fishes are vulnerable to climate change under a high emission scenario. Overall, marine fishes had the highest number of vulnerable species, concentrated in regions with sensitive habitat types (e.g., coral reefs). However, freshwater fishes had higher proportions of species at risk from climate change, with concentrations in northern Europe, Australia, and southern Africa. Mismatches in conservation effort and vulnerability were found within all regions and life-history groups. A key pattern was that current conservation effort focused primarily on marine fishes of high socioeconomic value rather than on the freshwater and diadromous fishes that were predicted to be proportionately more vulnerable. While several marine regions were notably lacking in protection (e.g., Caribbean Sea, Banda Sea), only 19% of vulnerable marine species were without conservation effort. By contrast, 72% of freshwater fishes and 33% of diadromous fishes had no measures in place, despite their high vulnerability and cultural value. The spatial and taxonomic analyses presented here provide guidance for the future conservation and management of recreational fisheries as climate change progresses.
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Affiliation(s)
| | - Hsien-Yung Lin
- Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | - Joseph R Bennett
- Department of Biology, Carleton University, Ottawa, Ontario, Canada
- Institute of Environmental and Interdisciplinary Sciences, Carleton University, Ottawa, ON, Canada
| | - Joseph Gabriel
- Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | - William Twardek
- Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | - Auston D Chhor
- Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | - Lindsay Daly
- Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | - Sarah Dolson
- Department of Biology, University of Ottawa, Ottawa, ON, Canada
| | - Eric Guitard
- Department of Geography and Environmental Studies, Carleton University, Ottawa, ON, Canada
| | - Peter Holder
- Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | | | | | | | | | - Cristina Garilao
- GEOMAR Helmholtz, Zentrum für Ozeanforschung Kiel, Kiel, Germany
| | - Kristin Kaschner
- Abteilung für Biometri und Umweltsystemanalyse, University of Freiburg, Freiburg, Germany
| | - Steven J Cooke
- Department of Biology, Carleton University, Ottawa, Ontario, Canada
- Institute of Environmental and Interdisciplinary Sciences, Carleton University, Ottawa, ON, Canada
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9
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A. Maureaud A, Frelat R, Pécuchet L, Shackell N, Mérigot B, Pinsky ML, Amador K, Anderson SC, Arkhipkin A, Auber A, Barri I, Bell RJ, Belmaker J, Beukhof E, Camara ML, Guevara‐Carrasco R, Choi J, Christensen HT, Conner J, Cubillos LA, Diadhiou HD, Edelist D, Emblemsvåg M, Ernst B, Fairweather TP, Fock HO, Friedland KD, Garcia CB, Gascuel D, Gislason H, Goren M, Guitton J, Jouffre D, Hattab T, Hidalgo M, Kathena JN, Knuckey I, Kidé SO, Koen‐Alonso M, Koopman M, Kulik V, León JP, Levitt‐Barmats Y, Lindegren M, Llope M, Massiot‐Granier F, Masski H, McLean M, Meissa B, Mérillet L, Mihneva V, Nunoo FKE, O'Driscoll R, O'Leary CA, Petrova E, Ramos JE, Refes W, Román‐Marcote E, Siegstad H, Sobrino I, Sólmundsson J, Sonin O, Spies I, Steingrund P, Stephenson F, Stern N, Tserkova F, Tserpes G, Tzanatos E, van Rijn I, van Zwieten PAM, Vasilakopoulos P, Yepsen DV, Ziegler P, T. Thorson J. Are we ready to track climate-driven shifts in marine species across international boundaries? - A global survey of scientific bottom trawl data. GLOBAL CHANGE BIOLOGY 2021; 27:220-236. [PMID: 33067925 PMCID: PMC7756400 DOI: 10.1111/gcb.15404] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 10/01/2020] [Accepted: 10/02/2020] [Indexed: 05/09/2023]
Abstract
Marine biota are redistributing at a rapid pace in response to climate change and shifting seascapes. While changes in fish populations and community structure threaten the sustainability of fisheries, our capacity to adapt by tracking and projecting marine species remains a challenge due to data discontinuities in biological observations, lack of data availability, and mismatch between data and real species distributions. To assess the extent of this challenge, we review the global status and accessibility of ongoing scientific bottom trawl surveys. In total, we gathered metadata for 283,925 samples from 95 surveys conducted regularly from 2001 to 2019. We identified that 59% of the metadata collected are not publicly available, highlighting that the availability of data is the most important challenge to assess species redistributions under global climate change. Given that the primary purpose of surveys is to provide independent data to inform stock assessment of commercially important populations, we further highlight that single surveys do not cover the full range of the main commercial demersal fish species. An average of 18 surveys is needed to cover at least 50% of species ranges, demonstrating the importance of combining multiple surveys to evaluate species range shifts. We assess the potential for combining surveys to track transboundary species redistributions and show that differences in sampling schemes and inconsistency in sampling can be overcome with spatio-temporal modeling to follow species density redistributions. In light of our global assessment, we establish a framework for improving the management and conservation of transboundary and migrating marine demersal species. We provide directions to improve data availability and encourage countries to share survey data, to assess species vulnerabilities, and to support management adaptation in a time of climate-driven ocean changes.
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Affiliation(s)
- Aurore A. Maureaud
- Centre for Ocean LifeNational Institute of Aquatic Resources (DTU Aqua)Technical University of DenmarkKgs. LyngbyDenmark
- Section for Ecosystem based Marine ManagementNational Institute of Aquatic Resources (DTU Aqua)Technical University of DenmarkKgs. LyngbyDenmark
| | - Romain Frelat
- Aquaculture and Fisheries GroupWageningen University & ResearchWageningenThe Netherlands
| | - Laurène Pécuchet
- Norwegian College of Fishery ScienceUiT The Arctic University of NorwayTromsøNorway
| | - Nancy Shackell
- Fisheries and Oceans CanadaBedford Institute of OceanographyDartmouthNSCanada
| | | | - Malin L. Pinsky
- Department of Ecology, Evolution, and Natural ResourcesRutgers, The State University of New JerseyNew BrunswickNJUSA
| | - Kofi Amador
- Fisheries Scientific Survey DivisionFisheries CommissionTemaGhana
| | - Sean C. Anderson
- Fisheries and Oceans CanadaPacific Biological StationNanaimoBCCanada
| | - Alexander Arkhipkin
- Falkland Islands Fisheries DepartmentDirectorate of Natural ResourcesStanleyFalkland Islands
| | - Arnaud Auber
- Halieutique Manche Mer du Nord unitFrench Research Institute for the Exploitation of the Sea (IFREMER)Boulogne‐sur‐MerFrance
| | - Iça Barri
- Centro de Investigaçao Pesqueira Aplicada (CIPA)BissauGuinea‐Bissau
| | | | - Jonathan Belmaker
- School of Zoology and The Steinhardt Museum of Natural HistoryTel AvivIsrael
| | | | - Mohamed L. Camara
- HalieuteNational Center of Fisheries Sciences of BoussouraConakryRepublic of Guinea
| | - Renato Guevara‐Carrasco
- General Directorate of Demersal and Coastal Resources ResearchInstituto del Mar Perú (IMARPE)CallaoPerú
| | - Junghwa Choi
- Fisheries Resources Research CenterNational Institute of Fisheries ScienceTongyeong‐siKorea
| | | | - Jason Conner
- Resource Assessment and Conservation Engineering, Alaska Fisheries Science Center, National Marine Fisheries ServiceNOAASeattleWAUSA
| | - Luis A. Cubillos
- COPAS Sur‐AustralDepartamento de OceanografíaUniversity of ConcepcionConcepciónChile
| | | | - Dori Edelist
- Recanati Institute for Maritime Studies and Department of Maritime CivilizationsCharney School of Marine SciencesUniversity of HaifaHaifaIsrael
| | | | - Billy Ernst
- Millennium Nucleus of Ecology and Sustainable Management of Oceanic Islands (ESMOI)Departamento de OceanografíaFacultad de Ciencias Naturales y OceanográficasUniversidad de ConcepciónConcepciónChile
| | | | - Heino O. Fock
- Thuenen Institute of Sea FisheriesBremerhavenGermany
| | - Kevin D. Friedland
- Narragansett LaboratoryNational Marine Fisheries ServiceNarragansettRIUSA
| | - Camilo B. Garcia
- Departamento de BiologiaUniversidad Nacional de ColombiaBogotáColombia
| | - Didier Gascuel
- ESE, Ecology and Ecosystem HealthInstitut AgroRennesFrance
| | - Henrik Gislason
- Section for Ecosystem based Marine ManagementNational Institute of Aquatic Resources (DTU Aqua)Technical University of DenmarkKgs. LyngbyDenmark
| | - Menachem Goren
- School of Zoology and The Steinhardt Museum of Natural HistoryTel AvivIsrael
| | - Jérôme Guitton
- ESE, Ecology and Ecosystem HealthInstitut AgroRennesFrance
| | | | | | - Manuel Hidalgo
- Ecosystem Oceanography Group (GRECO)Instituto Español de OceanografíaCentre Oceanogràfic de les BalearsPalma de MallorcaSpain
| | - Johannes N. Kathena
- National Marine Information and Research CentreMinistry of Fisheries and Marine Resources (MFMR)SwakopmundNamibia
| | - Ian Knuckey
- Fishwell Consulting Pty LtdQueenscliffVic.Australia
| | - Saïkou O. Kidé
- Institut Mauritanien de Recherches Océanographiques et des PêchesNouadhibouMauritania
| | - Mariano Koen‐Alonso
- Northwest Atlantic Fisheries CentreFisheries and Oceans CanadaSt. John'sNLCanada
| | - Matt Koopman
- Fishwell Consulting Pty LtdQueenscliffVic.Australia
| | - Vladimir Kulik
- Pacific Branch (TINRO) of Russian Federal Research Institute Of Fisheries and Oceanography (VNIRO)VladivostokRussia
| | - Jacqueline Palacios León
- General Directorate of Demersal and Coastal Resources ResearchInstituto del Mar Perú (IMARPE)CallaoPerú
| | | | - Martin Lindegren
- Centre for Ocean LifeNational Institute of Aquatic Resources (DTU Aqua)Technical University of DenmarkKgs. LyngbyDenmark
| | - Marcos Llope
- Instituto Español de OceanografíaCádizAndalucíaSpain
| | - Félix Massiot‐Granier
- Département Adaptations du vivantUMR BOREAMuseum National d’Histoire NaturelleParisFrance
| | - Hicham Masski
- Institut National de Recherche HalieutiqueCasablancaMorocco
| | - Matthew McLean
- Department of BiologyDalhousie UniversityHalifaxNSCanada
| | - Beyah Meissa
- Institut Mauritanien de Recherches Océanographiques et des PêchesNouadhibouMauritania
| | - Laurène Mérillet
- National Museum of Natural HistoryParisFrance
- IfremerLorientFrance
| | | | | | - Richard O'Driscoll
- National Institute of Water and Atmospheric Research LimitedWellingtonNew Zealand
| | - Cecilia A. O'Leary
- Resource Assessment and Conservation Engineering Division, Alaska Fisheries Science CenterNOAASeattleWAUSA
| | | | - Jorge E. Ramos
- Falkland Islands Fisheries DepartmentDirectorate of Natural ResourcesStanleyFalkland Islands
- Institute for Marine and Antarctic StudiesUniversity of TasmaniaHobartTas.Australia
| | - Wahid Refes
- National Higher School of Marine Sciences and Coastal ManagementDély IbrahimAlgeria
| | | | | | | | | | - Oren Sonin
- Israeli Fisheries Division, Fisheries and Aquaculture DepartmentMinistry of AgricultureKiryat HaimIsrael
| | - Ingrid Spies
- Resource Ecology and Fisheries Management, Alaska Fisheries Science Center, National Marine Fisheries ServiceNOAASeattleWAUSA
| | | | - Fabrice Stephenson
- National Institute of Water and Atmospheric Research LimitedWellingtonNew Zealand
| | - Nir Stern
- Israel Oceanographic and Limnological Research InstituteHaifaIsrael
| | | | | | | | | | - Paul A. M. van Zwieten
- Aquaculture and Fisheries GroupWageningen University & ResearchWageningenThe Netherlands
| | | | - Daniela V. Yepsen
- Programa de Doctorado en Ciencias con Mención en Manejo de Recursos Acuáticos Renovables (MaReA)Facultad de Ciencias Naturales y OceanográficasUniversidad de ConcepciónConcepciónChile
| | - Philippe Ziegler
- Antarctic Conservation and Management ProgramAustralian Antarctic DivisionDepartment of Agriculture, Water, and the EnvironmentKingstonTas.Australia
| | - James T. Thorson
- Habitat and Ecological Processes Research ProgramAlaska Fisheries Science Center, National Marine Fisheries ServiceNOAASeattleWAUSA
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10
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Lin H, Corkrey R, Kaschner K, Garilao C, Costello MJ. Latitudinal diversity gradients for five taxonomic levels of marine fish in depth zones. Ecol Res 2020. [DOI: 10.1111/1440-1703.12193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Han‐Yang Lin
- Institute of Marine Science The University of Auckland Auckland New Zealand
| | - Ross Corkrey
- Tasmanian Institute of Agriculture University of Tasmania Hobart Australia
| | - Kristin Kaschner
- Department of Biometry and Environmental Systems Analysis University of Freiburg Freiburg Germany
| | | | - Mark J. Costello
- School of Environment The University of Auckland Auckland New Zealand
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11
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Moudrý V, Devillers R. Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data. ECOL INFORM 2020. [DOI: 10.1016/j.ecoinf.2020.101051] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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12
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March D, Boehme L, Tintoré J, Vélez‐Belchi PJ, Godley BJ. Towards the integration of animal-borne instruments into global ocean observing systems. GLOBAL CHANGE BIOLOGY 2020; 26:586-596. [PMID: 31675456 PMCID: PMC7027834 DOI: 10.1111/gcb.14902] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 09/10/2019] [Accepted: 10/17/2019] [Indexed: 05/05/2023]
Abstract
Marine animals are increasingly instrumented with environmental sensors that provide large volumes of oceanographic data. Here, we conduct an innovative and comprehensive global analysis to determine the potential contribution of animal-borne instruments (ABI) into ocean observing systems (OOSs) and provide a foundation to establish future integrated ocean monitoring programmes. We analyse the current gaps of the long-term Argo observing system (>1.5 million profiles) and assess its spatial overlap with the distribution of marine animals across eight major species groups (tuna and billfishes, sharks and rays, marine turtles, pinnipeds, cetaceans, sirenians, flying seabirds and penguins). We combine distribution ranges of 183 species and satellite tracking observations from >3,000 animals. Our analyses identify potential areas where ABI could complement OOS. Specifically, ABI have the potential to fill gaps in marginal seas, upwelling areas, the upper 10 m of the water column, shelf regions and polewards of 60° latitude. Our approach provides the global baseline required to plan the integration of ABI into global and regional OOS while integrating conservation and ocean monitoring priorities.
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Affiliation(s)
- David March
- Marine Turtle Research GroupCentre for Ecology and ConservationUniversity of ExeterPenrynUK
- ICTS SOCIB – Balearic Islands Coastal Observing and Forecasting SystemParc BitPalma de MallorcaSpain
| | - Lars Boehme
- Sea Mammal Research UnitScottish Oceans InstituteUniversity of St AndrewsSt AndrewsUK
| | - Joaquín Tintoré
- ICTS SOCIB – Balearic Islands Coastal Observing and Forecasting SystemParc BitPalma de MallorcaSpain
- IMEDEA (CSIC‐UIB)Mediterranean Institute of Advanced StudiesEsporlesSpain
| | | | - Brendan J. Godley
- Marine Turtle Research GroupCentre for Ecology and ConservationUniversity of ExeterPenrynUK
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13
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Venegas-Li R, Levin N, Morales-Barquero L, Kaschner K, Garilao C, Kark S. Global assessment of marine biodiversity potentially threatened by offshore hydrocarbon activities. GLOBAL CHANGE BIOLOGY 2019; 25:2009-2020. [PMID: 30854759 DOI: 10.1111/gcb.14616] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 02/26/2019] [Accepted: 02/27/2019] [Indexed: 06/09/2023]
Abstract
Increasing global energy demands have led to the ongoing intensification of hydrocarbon extraction from marine areas. Hydrocarbon extractive activities pose threats to native marine biodiversity, such as noise, light, and chemical pollution, physical changes to the sea floor, invasive species, and greenhouse gas emissions. Here, we assessed at a global scale the spatial overlap between offshore hydrocarbon activities and marine biodiversity (>25,000 species, nine major ecosystems, and marine protected areas), and quantify the changes over time. We discovered that two-thirds of global offshore hydrocarbon activities occur in areas within the top 10% for species richness, range rarity, and proportional range rarity values globally. Thus, while hydrocarbon activities are undertaken in less than one percent of the ocean's area, they overlap with approximately 85% of all assessed species. Of conservation concern, 4% of species with the largest proportion of their range overlapping hydrocarbon activities are range restricted, potentially increasing their vulnerability to localized threats such as oil spills. While hydrocarbon activities have extended to greater depths since the mid-1990s, we found that the largest overlap is with coastal ecosystems, particularly estuaries, saltmarshes and mangroves. Furthermore, in most countries where offshore hydrocarbon exploration licensing blocks have been delineated, they do not overlap with marine protected areas (MPAs). Although this is positive in principle, many countries have far more licensing block areas than protected areas, and in some instances, MPA coverage is minimal. These findings suggest the need for marine spatial prioritization to help limit future spatial overlap between marine conservation priorities and hydrocarbon activities. Such prioritization can be informed by the spatial and quantitative baseline information provided here. In increasingly shared seascapes, prioritizing management actions that set both conservation and development targets could help minimize further declines of biodiversity and environmental changes at a global scale.
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Affiliation(s)
- Rubén Venegas-Li
- The Biodiversity Research Group, Centre for Biodiversity and Conservation Science, School of Biological Sciences, The University of Queensland, St Lucia, QLD, Australia
- Centre of Excellence for Environmental Decisions, The University of Queensland, St Lucia, QLD, Australia
| | - Noam Levin
- Centre of Excellence for Environmental Decisions, The University of Queensland, St Lucia, QLD, Australia
- School of Earth and Environmental Sciences, The University of Queensland, St Lucia, QLD, Australia
- Department of Geography, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem, Israel
| | - Lucía Morales-Barquero
- School of Earth and Environmental Sciences, The University of Queensland, St Lucia, QLD, Australia
| | - Kristin Kaschner
- Department of Biometry and Environmental Systems Analysis, Albert-Ludwigs University, Freiburg i. Br., Germany
| | | | - Salit Kark
- The Biodiversity Research Group, Centre for Biodiversity and Conservation Science, School of Biological Sciences, The University of Queensland, St Lucia, QLD, Australia
- Centre of Excellence for Environmental Decisions, The University of Queensland, St Lucia, QLD, Australia
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14
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O'Hara CC, Villaseñor‐Derbez JC, Ralph GM, Halpern BS. Mapping status and conservation of global at‐risk marine biodiversity. Conserv Lett 2019. [DOI: 10.1111/conl.12651] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- Casey C. O'Hara
- Bren School of Environmental Science and Management University of California Santa Barbara California
- National Center for Ecological Analysis and Synthesis University of California Santa Barbara California
| | | | - Gina M. Ralph
- IUCN Marine Biodiversity Unit, Department of Biological Sciences Old Dominion University Norfolk Virginia
| | - Benjamin S. Halpern
- Bren School of Environmental Science and Management University of California Santa Barbara California
- National Center for Ecological Analysis and Synthesis University of California Santa Barbara California
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15
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Investigating the potential impacts of ocean warming on the Norwegian and Barents Seas ecosystem using a time-dynamic food-web model. Ecol Modell 2017. [DOI: 10.1016/j.ecolmodel.2017.07.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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16
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Drivers and implications of change in global ocean health over the past five years. PLoS One 2017; 12:e0178267. [PMID: 28678881 PMCID: PMC5497940 DOI: 10.1371/journal.pone.0178267] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 04/21/2017] [Indexed: 11/19/2022] Open
Abstract
Growing international and national focus on quantitatively measuring and improving ocean health has increased the need for comprehensive, scientific, and repeated indicators to track progress towards achieving policy and societal goals. The Ocean Health Index (OHI) is one of the few indicators available for this purpose. Here we present results from five years of annual global assessment for 220 countries and territories, evaluating potential drivers and consequences of changes and presenting lessons learned about the challenges of using composite indicators to measure sustainability goals. Globally scores have shown little change, as would be expected. However, individual countries have seen notable increases or declines due in particular to improvements in the harvest and management of wild-caught fisheries, the creation of marine protected areas (MPAs), and decreases in natural product harvest. Rapid loss of sea ice and the consequent reduction of coastal protection from that sea ice was also responsible for declines in overall ocean health in many Arctic and sub-Arctic countries. The OHI performed reasonably well at predicting near-term future scores for many of the ten goals measured, but data gaps and limitations hindered these predictions for many other goals. Ultimately, all indicators face the substantial challenge of informing policy for progress toward broad goals and objectives with insufficient monitoring and assessment data. If countries and the global community hope to achieve and maintain healthy oceans, we will need to dedicate significant resources to measuring what we are trying to manage.
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