Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0

Abstract There is an urgent need for models that can robustly detect past and project future ecosystem changes and risks to the services that they provide to people. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) was established to develop model ensembles for projecting l...

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Main Authors: Julia L. Blanchard, Camilla Novaglio, Olivier Maury, Cheryl S. Harrison, Colleen M. Petrik, Denisse Fierro‐Arcos, Kelly Ortega‐Cisneros, Andrea Bryndum‐Buchholz, Tyler D. Eddy, Ryan Heneghan, Kelsey Roberts, Jacob Schewe, Daniele Bianchi, Jerome Guiet, P. Daniel van Denderen, Juliano Palacios‐Abrantes, Xiao Liu, Charles A. Stock, Yannick Rousseau, Matthias Büchner, Ezekiel O. Adekoya, Cathy Bulman, William Cheung, Villy Christensen, Marta Coll, Leonardo Capitani, Samik Datta, Elizabeth A. Fulton, Alba Fuster, Victoria Garza, Matthieu Lengaigne, Max Lindmark, Kieran Murphy, Jazel Ouled‐Cheikh, Sowdamini S. Prasad, Ricardo Oliveros‐Ramos, Jonathan C. Reum, Nina Rynne, Kim J. N. Scherrer, Yunne‐Jai Shin, Jeroen Steenbeek, Phoebe Woodworth‐Jefcoats, Yan‐Lun Wu, Derek P. Tittensor
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Earth's Future
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Online Access:https://doi.org/10.1029/2023EF004402
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author Julia L. Blanchard
Camilla Novaglio
Olivier Maury
Cheryl S. Harrison
Colleen M. Petrik
Denisse Fierro‐Arcos
Kelly Ortega‐Cisneros
Andrea Bryndum‐Buchholz
Tyler D. Eddy
Ryan Heneghan
Kelsey Roberts
Jacob Schewe
Daniele Bianchi
Jerome Guiet
P. Daniel van Denderen
Juliano Palacios‐Abrantes
Xiao Liu
Charles A. Stock
Yannick Rousseau
Matthias Büchner
Ezekiel O. Adekoya
Cathy Bulman
William Cheung
Villy Christensen
Marta Coll
Leonardo Capitani
Samik Datta
Elizabeth A. Fulton
Alba Fuster
Victoria Garza
Matthieu Lengaigne
Max Lindmark
Kieran Murphy
Jazel Ouled‐Cheikh
Sowdamini S. Prasad
Ricardo Oliveros‐Ramos
Jonathan C. Reum
Nina Rynne
Kim J. N. Scherrer
Yunne‐Jai Shin
Jeroen Steenbeek
Phoebe Woodworth‐Jefcoats
Yan‐Lun Wu
Derek P. Tittensor
author_facet Julia L. Blanchard
Camilla Novaglio
Olivier Maury
Cheryl S. Harrison
Colleen M. Petrik
Denisse Fierro‐Arcos
Kelly Ortega‐Cisneros
Andrea Bryndum‐Buchholz
Tyler D. Eddy
Ryan Heneghan
Kelsey Roberts
Jacob Schewe
Daniele Bianchi
Jerome Guiet
P. Daniel van Denderen
Juliano Palacios‐Abrantes
Xiao Liu
Charles A. Stock
Yannick Rousseau
Matthias Büchner
Ezekiel O. Adekoya
Cathy Bulman
William Cheung
Villy Christensen
Marta Coll
Leonardo Capitani
Samik Datta
Elizabeth A. Fulton
Alba Fuster
Victoria Garza
Matthieu Lengaigne
Max Lindmark
Kieran Murphy
Jazel Ouled‐Cheikh
Sowdamini S. Prasad
Ricardo Oliveros‐Ramos
Jonathan C. Reum
Nina Rynne
Kim J. N. Scherrer
Yunne‐Jai Shin
Jeroen Steenbeek
Phoebe Woodworth‐Jefcoats
Yan‐Lun Wu
Derek P. Tittensor
author_sort Julia L. Blanchard
collection DOAJ
description Abstract There is an urgent need for models that can robustly detect past and project future ecosystem changes and risks to the services that they provide to people. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) was established to develop model ensembles for projecting long‐term impacts of climate change on fisheries and marine ecosystems while informing policy at spatio‐temporal scales relevant to the Inter‐Sectoral Impact Model Intercomparison Project (ISIMIP) framework. While contributing FishMIP models have improved over time, large uncertainties in projections remain, particularly in coastal and shelf seas where most of the world's fisheries occur. Furthermore, previous FishMIP climate impact projections have been limited by a lack of global standardized historical fishing data, low resolution of coastal processes, and uneven capabilities across the FishMIP community to dynamically model fisheries. These features are needed to evaluate how reliably the FishMIP ensemble captures past ecosystem states ‐ a crucial step for building confidence in future projections. To address these issues, we have developed FishMIP 2.0 comprising a two‐track framework for: (a) Model evaluation and attribution of past changes and (b) future climate and socioeconomic scenario projections. Key advances include improved historical climate forcing, which captures oceanographic features not previously resolved, and standardized global fishing forcing to test fishing effects systematically across models. FishMIP 2.0 is a crucial step toward a detection and attribution framework for changing marine ecosystems and toward enhanced policy relevance through increased confidence in future ensemble projections. Our results will help elucidate pathways toward achieving sustainable development goals.
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spelling doaj-art-0c90be6b95424a2ca4d3e438825e2a1e2025-08-20T02:00:03ZengWileyEarth's Future2328-42772024-12-011212n/an/a10.1029/2023EF004402Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0Julia L. Blanchard0Camilla Novaglio1Olivier Maury2Cheryl S. Harrison3Colleen M. Petrik4Denisse Fierro‐Arcos5Kelly Ortega‐Cisneros6Andrea Bryndum‐Buchholz7Tyler D. Eddy8Ryan Heneghan9Kelsey Roberts10Jacob Schewe11Daniele Bianchi12Jerome Guiet13P. Daniel van Denderen14Juliano Palacios‐Abrantes15Xiao Liu16Charles A. Stock17Yannick Rousseau18Matthias Büchner19Ezekiel O. Adekoya20Cathy Bulman21William Cheung22Villy Christensen23Marta Coll24Leonardo Capitani25Samik Datta26Elizabeth A. Fulton27Alba Fuster28Victoria Garza29Matthieu Lengaigne30Max Lindmark31Kieran Murphy32Jazel Ouled‐Cheikh33Sowdamini S. Prasad34Ricardo Oliveros‐Ramos35Jonathan C. Reum36Nina Rynne37Kim J. N. Scherrer38Yunne‐Jai Shin39Jeroen Steenbeek40Phoebe Woodworth‐Jefcoats41Yan‐Lun Wu42Derek P. Tittensor43Institute for Marine and Antarctic Studies University of Tasmania Hobart TAS AustraliaInstitute for Marine and Antarctic Studies University of Tasmania Hobart TAS AustraliaIRD University Montpellier Ifremer CNRS INRAE MARBEC Montpellier FranceDepartment of Ocean and Coastal Science Center for Computation and Technology Louisiana State University Baton Rouge LA USAScripps Institution of Oceanography University of California San Diego La Jolla CA USAInstitute for Marine and Antarctic Studies University of Tasmania Hobart TAS AustraliaDepartment of Biological Sciences University of Cape Town Cape Town South AfricaCentre for Fisheries Ecosystem Research Fisheries & Marine Institute Memorial University St. John's NL CanadaCentre for Fisheries Ecosystem Research Fisheries & Marine Institute Memorial University St. John's NL CanadaSchool of Environment and Science Griffith University Nathan QLD AustraliaDepartment of Ocean and Coastal Science Center for Computation and Technology Louisiana State University Baton Rouge LA USAPotsdam Institute for Climate Impact Research, Member of the Leibniz Association Potsdam GermanyDepartment of Atmospheric and Oceanic Sciences University of California Los Angeles Los Angeles CA USADepartment of Atmospheric and Oceanic Sciences University of California Los Angeles Los Angeles CA USADTU Aqua Technical University of Denmark Lyngby DenmarkInstitute for the Oceans and Fisheries The University of British Columbia Vancouver BC CanadaNOAA OAR Geophysical Fluid Dynamics Laboratory Princeton NJ USANOAA OAR Geophysical Fluid Dynamics Laboratory Princeton NJ USAInstitute for Marine and Antarctic Studies University of Tasmania Hobart TAS AustraliaPotsdam Institute for Climate Impact Research, Member of the Leibniz Association Potsdam GermanyInstitute for Marine and Antarctic Studies University of Tasmania Hobart TAS AustraliaCSIRO Environment Hobart TAS AustraliaInstitute for the Oceans and Fisheries The University of British Columbia Vancouver BC CanadaInstitute for the Oceans and Fisheries The University of British Columbia Vancouver BC CanadaEcopath International Initiative Barcelona SpainPost‐Graduate Program in Ecology Bioscience Institute Universidade Federal do Rio Grande do Norte Natal BrazilPopulation Modelling Group National Institute of Water and Atmospheric Research Wellington New ZealandCentre for Marine Socioecology University of Tasmania Hobart TAS AustraliaInstitute of Marine Science (ICM) ‐ CSIC. Passeig Maritim de Barcelona Barcelona SpainDepartment of Ocean and Coastal Science Center for Computation and Technology Louisiana State University Baton Rouge LA USAIRD University Montpellier Ifremer CNRS INRAE MARBEC Montpellier FranceDepartment of Aquatic Resources Institute of Marine Research Swedish University of Agricultural Sciences Lysekil SwedenInstitute for Marine and Antarctic Studies University of Tasmania Hobart TAS AustraliaInstitute of Marine Science (ICM) ‐ CSIC. Passeig Maritim de Barcelona Barcelona SpainInstitute for Marine and Antarctic Studies University of Tasmania Hobart TAS AustraliaAustralian Centre for Excellence in Antarctic Science University of Tasmania Hobart TAS AustraliaNOAA National Marine Fisheries Service Alaska Fisheries Science Center Seattle WA USAInstitute for Marine and Antarctic Studies University of Tasmania Hobart TAS AustraliaDepartment of Biological Sciences University of Bergen Bergen NorwayIRD University Montpellier Ifremer CNRS INRAE MARBEC Montpellier FranceEcopath International Initiative Barcelona SpainPacific Islands Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration Honolulu HI USAInstitute for Marine and Antarctic Studies University of Tasmania Hobart TAS AustraliaDepartment of Biology Dalhousie University Halifax NS CanadaAbstract There is an urgent need for models that can robustly detect past and project future ecosystem changes and risks to the services that they provide to people. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) was established to develop model ensembles for projecting long‐term impacts of climate change on fisheries and marine ecosystems while informing policy at spatio‐temporal scales relevant to the Inter‐Sectoral Impact Model Intercomparison Project (ISIMIP) framework. While contributing FishMIP models have improved over time, large uncertainties in projections remain, particularly in coastal and shelf seas where most of the world's fisheries occur. Furthermore, previous FishMIP climate impact projections have been limited by a lack of global standardized historical fishing data, low resolution of coastal processes, and uneven capabilities across the FishMIP community to dynamically model fisheries. These features are needed to evaluate how reliably the FishMIP ensemble captures past ecosystem states ‐ a crucial step for building confidence in future projections. To address these issues, we have developed FishMIP 2.0 comprising a two‐track framework for: (a) Model evaluation and attribution of past changes and (b) future climate and socioeconomic scenario projections. Key advances include improved historical climate forcing, which captures oceanographic features not previously resolved, and standardized global fishing forcing to test fishing effects systematically across models. FishMIP 2.0 is a crucial step toward a detection and attribution framework for changing marine ecosystems and toward enhanced policy relevance through increased confidence in future ensemble projections. Our results will help elucidate pathways toward achieving sustainable development goals.https://doi.org/10.1029/2023EF004402global changeclimate projectionsmarine ecosystem modelingfuture scenariossustainable oceansfisheries
spellingShingle Julia L. Blanchard
Camilla Novaglio
Olivier Maury
Cheryl S. Harrison
Colleen M. Petrik
Denisse Fierro‐Arcos
Kelly Ortega‐Cisneros
Andrea Bryndum‐Buchholz
Tyler D. Eddy
Ryan Heneghan
Kelsey Roberts
Jacob Schewe
Daniele Bianchi
Jerome Guiet
P. Daniel van Denderen
Juliano Palacios‐Abrantes
Xiao Liu
Charles A. Stock
Yannick Rousseau
Matthias Büchner
Ezekiel O. Adekoya
Cathy Bulman
William Cheung
Villy Christensen
Marta Coll
Leonardo Capitani
Samik Datta
Elizabeth A. Fulton
Alba Fuster
Victoria Garza
Matthieu Lengaigne
Max Lindmark
Kieran Murphy
Jazel Ouled‐Cheikh
Sowdamini S. Prasad
Ricardo Oliveros‐Ramos
Jonathan C. Reum
Nina Rynne
Kim J. N. Scherrer
Yunne‐Jai Shin
Jeroen Steenbeek
Phoebe Woodworth‐Jefcoats
Yan‐Lun Wu
Derek P. Tittensor
Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0
Earth's Future
global change
climate projections
marine ecosystem modeling
future scenarios
sustainable oceans
fisheries
title Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0
title_full Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0
title_fullStr Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0
title_full_unstemmed Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0
title_short Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0
title_sort detecting attributing and projecting global marine ecosystem and fisheries change fishmip 2 0
topic global change
climate projections
marine ecosystem modeling
future scenarios
sustainable oceans
fisheries
url https://doi.org/10.1029/2023EF004402
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