Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change Projections

23 pages, 9 figures, 4 tables, supporting information https://doi.org/10.1029/2024EF005537.-- Data Availability Statement: The R scripts used to execute the analyses in the paper can be found at https://github.com/Fish-MIP/Regional_v_Global. The simulations used for the study (Eddy et al., 2023, 202...

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Autores: Eddy, Tyler D., Heneghan, Ryan F., Bryndum‐Buchholz, Andrea, Fulton, Elizabeth A., Harrison, Cheryl, Tittensor, Derek P., Lotze, Heike K., Ortega-Cisneros, Kelly, Novaglio, Camilla, Bianchi, Daniele, Büchner, Matthias, Bulman, Catherine, Cheung, William W. L., Christensen, Villy, Coll, Marta, Everett, Jason D., Fierro‐Arcos, Denisse, Galbraith, Eric D., Gascuel, Didier, Guiet, Jerome, Mackinson, Steven, Maury, Olivier, Niiranen, Susa, Oliveros-Ramos, Ricardo, Palacios-Abrantes, Juliano, Piroddi, Chiara, Pontavice, Hubert du, Reum, Jonathan, Richardson, Anthony J., Schewe, Jacob, Shannon, Lynne J., Shin, Yunne-Jai, Steenbeek, Jeroen, Volkholz, Jan, Walker, Nicola D., Woodworth-Jefcoats, Phoebe A., Blanchard, Julia L.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/386580
Acceso en línea:http://hdl.handle.net/10261/386580
Access Level:acceso abierto
Palabra clave:http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
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oai_identifier_str oai:digital.csic.es:10261/386580
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change Projections
title Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change Projections
spellingShingle Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change Projections
Eddy, Tyler D.
http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
title_short Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change Projections
title_full Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change Projections
title_fullStr Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change Projections
title_full_unstemmed Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change Projections
title_sort Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change Projections
dc.creator.none.fl_str_mv Eddy, Tyler D.
Heneghan, Ryan F.
Bryndum‐Buchholz, Andrea
Fulton, Elizabeth A.
Harrison, Cheryl
Tittensor, Derek P.
Lotze, Heike K.
Ortega-Cisneros, Kelly
Novaglio, Camilla
Bianchi, Daniele
Büchner, Matthias
Bulman, Catherine
Cheung, William W. L.
Christensen, Villy
Coll, Marta
Everett, Jason D.
Fierro‐Arcos, Denisse
Galbraith, Eric D.
Gascuel, Didier
Guiet, Jerome
Mackinson, Steven
Maury, Olivier
Niiranen, Susa
Oliveros-Ramos, Ricardo
Palacios-Abrantes, Juliano
Piroddi, Chiara
Pontavice, Hubert du
Reum, Jonathan
Richardson, Anthony J.
Schewe, Jacob
Shannon, Lynne J.
Shin, Yunne-Jai
Steenbeek, Jeroen
Volkholz, Jan
Walker, Nicola D.
Woodworth-Jefcoats, Phoebe A.
Blanchard, Julia L.
author Eddy, Tyler D.
author_facet Eddy, Tyler D.
Heneghan, Ryan F.
Bryndum‐Buchholz, Andrea
Fulton, Elizabeth A.
Harrison, Cheryl
Tittensor, Derek P.
Lotze, Heike K.
Ortega-Cisneros, Kelly
Novaglio, Camilla
Bianchi, Daniele
Büchner, Matthias
Bulman, Catherine
Cheung, William W. L.
Christensen, Villy
Coll, Marta
Everett, Jason D.
Fierro‐Arcos, Denisse
Galbraith, Eric D.
Gascuel, Didier
Guiet, Jerome
Mackinson, Steven
Maury, Olivier
Niiranen, Susa
Oliveros-Ramos, Ricardo
Palacios-Abrantes, Juliano
Piroddi, Chiara
Pontavice, Hubert du
Reum, Jonathan
Richardson, Anthony J.
Schewe, Jacob
Shannon, Lynne J.
Shin, Yunne-Jai
Steenbeek, Jeroen
Volkholz, Jan
Walker, Nicola D.
Woodworth-Jefcoats, Phoebe A.
Blanchard, Julia L.
author_role author
author2 Heneghan, Ryan F.
Bryndum‐Buchholz, Andrea
Fulton, Elizabeth A.
Harrison, Cheryl
Tittensor, Derek P.
Lotze, Heike K.
Ortega-Cisneros, Kelly
Novaglio, Camilla
Bianchi, Daniele
Büchner, Matthias
Bulman, Catherine
Cheung, William W. L.
Christensen, Villy
Coll, Marta
Everett, Jason D.
Fierro‐Arcos, Denisse
Galbraith, Eric D.
Gascuel, Didier
Guiet, Jerome
Mackinson, Steven
Maury, Olivier
Niiranen, Susa
Oliveros-Ramos, Ricardo
Palacios-Abrantes, Juliano
Piroddi, Chiara
Pontavice, Hubert du
Reum, Jonathan
Richardson, Anthony J.
Schewe, Jacob
Shannon, Lynne J.
Shin, Yunne-Jai
Steenbeek, Jeroen
Volkholz, Jan
Walker, Nicola D.
Woodworth-Jefcoats, Phoebe A.
Blanchard, Julia L.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Natural Sciences and Engineering Research Council of Canada
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
National Research Foundation (South Africa)
European Commission
Belmont Forum
Agence Nationale de la Recherche (France)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
topic http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
description 23 pages, 9 figures, 4 tables, supporting information https://doi.org/10.1029/2024EF005537.-- Data Availability Statement: The R scripts used to execute the analyses in the paper can be found at https://github.com/Fish-MIP/Regional_v_Global. The simulations used for the study (Eddy et al., 2023, 2024; Tittensor et al., 2023) are available at ISIMIP data repository (https://data.isimip.org/) under the tree “ISIMIP2a/OutputData/marine-fishery_regional” and “ISIMIP3a/OutputData/marine-fishery_regional,” for instructions to get access see https://www.isimip.org/gettingstarted/data-access/
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/386580
url http://hdl.handle.net/10261/386580
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118097RB-I00
info:eu-repo/grantAgreement/EC/H2020/817578
https://doi.org/10.1029/2024EF005537

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv American Geophysical Union
publisher.none.fl_str_mv American Geophysical Union
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
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spelling Global and Regional Marine Ecosystem Models Reveal Key Uncertainties in Climate Change ProjectionsEddy, Tyler D.Heneghan, Ryan F.Bryndum‐Buchholz, AndreaFulton, Elizabeth A.Harrison, CherylTittensor, Derek P.Lotze, Heike K.Ortega-Cisneros, KellyNovaglio, CamillaBianchi, DanieleBüchner, MatthiasBulman, CatherineCheung, William W. L.Christensen, VillyColl, MartaEverett, Jason D.Fierro‐Arcos, DenisseGalbraith, Eric D.Gascuel, DidierGuiet, JeromeMackinson, StevenMaury, OlivierNiiranen, SusaOliveros-Ramos, RicardoPalacios-Abrantes, JulianoPiroddi, ChiaraPontavice, Hubert duReum, JonathanRichardson, Anthony J.Schewe, JacobShannon, Lynne J.Shin, Yunne-JaiSteenbeek, JeroenVolkholz, JanWalker, Nicola D.Woodworth-Jefcoats, Phoebe A.Blanchard, Julia L.http://metadata.un.org/sdg/14Conserve and sustainably use the oceans, seas and marine resources for sustainable development23 pages, 9 figures, 4 tables, supporting information https://doi.org/10.1029/2024EF005537.-- Data Availability Statement: The R scripts used to execute the analyses in the paper can be found at https://github.com/Fish-MIP/Regional_v_Global. The simulations used for the study (Eddy et al., 2023, 2024; Tittensor et al., 2023) are available at ISIMIP data repository (https://data.isimip.org/) under the tree “ISIMIP2a/OutputData/marine-fishery_regional” and “ISIMIP3a/OutputData/marine-fishery_regional,” for instructions to get access see https://www.isimip.org/gettingstarted/data-access/Climate change is affecting ocean temperature, acidity, currents, and primary production, causing shifts in species distributions, marine ecosystems, and ultimately fisheries. Earth system models simulate climate change impacts on physical and biogeochemical properties of future oceans under varying emissions scenarios. Coupling these simulations with an ensemble of global marine ecosystem models has indicated broad decreases of fish biomass with warming. However, regional details of these impacts remain much more uncertain. Here, we employ CMIP5 and CMIP6 climate change impact projections using two Earth system models coupled with four regional and nine global marine ecosystem models in 10 ocean regions to evaluate model agreement at regional scales. We find that models developed at different scales can lead to stark differences in biomass projections. On average, global models projected greater biomass declines by the end of the 21st century than regional models. For both global and regional models, greater biomass declines were projected using CMIP6 than CMIP5 simulations. Global models projected biomass declines in 86% of CMIP5 simulations for ocean regions compared to 50% for regional models in the same ocean regions. In CMIP6 simulations, all global model simulations projected biomass declines in ocean regions by 2100, while regional models projected biomass declines in 67% of the ocean region simulations. Our analysis suggests that improved understanding of the causes of differences between global and regional marine ecosystem model climate change projections is needed, alongside observational evaluation of modeled responsesTDE, HKL, DT acknowledge funding support from the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP). MC and JS acknowledge funding from the Spanish National Project ProOceans (RETOS-PID2020-118097RB-I00) and MC acknowledges support by the “Severo Ochoa Centre of Excellence” accreditation (CEX2019-000928-S) to the Institute of Marine Science (ICM-CSIC). KOC acknowledges support from the One Ocean Hub and the National Research Foundation of South Africa (Grant 136481). KOC also acknowledges the resources from the Cluster for High Performance Computing–CSIR. LJS acknowledges funding and support from the EU-Horizon 2020 project “TRIATLAS” (Grant 817578) and the One Ocean Hub. [...] YJS acknowledges funding support from the Biodiversa and Belmont Forum project SOMBEE (BiodivScen ERA-Net COFUND programme, ANR contract no ANR-18-EBI4-0003-01) and the Pew Marine Fellows programmePeer reviewedAmerican Geophysical UnionNatural Sciences and Engineering Research Council of CanadaMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)National Research Foundation (South Africa)European CommissionBelmont ForumAgence Nationale de la Recherche (France)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/386580reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118097RB-I00info:eu-repo/grantAgreement/EC/H2020/817578https://doi.org/10.1029/2024EF005537Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3865802026-05-22T06:33:51Z
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