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

Authors

Julia L. Blanchard, Institute for Marine and Antarctic Studies
Camilla Novaglio, Institute for Marine and Antarctic Studies
Olivier Maury, Université de Montpellier
Cheryl S. Harrison, Louisiana State University
Colleen M. Petrik, Scripps Institution of Oceanography
Denisse Fierro-Arcos, Institute for Marine and Antarctic Studies
Kelly Ortega-Cisneros, University of Cape Town
Andrea Bryndum-Buchholz, Marine Institute of Memorial University of Newfoundland
Tyler D. Eddy, Marine Institute of Memorial University of Newfoundland
Ryan Heneghan, Griffith University
Kelsey Roberts, Louisiana State University
Jacob Schewe, Leibniz-Gemeinschaft
Daniele Bianchi, University of California, Los Angeles
Jerome Guiet, University of California, Los Angeles
P. Daniel van Denderen, Technical University of Denmark
Juliano Palacios-Abrantes, The University of British Columbia
Xiao Liu, National Oceanic and Atmospheric Administration
Charles A. Stock, National Oceanic and Atmospheric Administration
Yannick Rousseau, Institute for Marine and Antarctic Studies
Matthias Büchner, Leibniz-Gemeinschaft
Ezekiel O. Adekoya, Institute for Marine and Antarctic Studies
Cathy Bulman, Commonwealth Scientific and Industrial Research Organisation
William Cheung, The University of British Columbia
Villy Christensen, The University of British Columbia
Marta Coll, Ecopath International Initiative
Leonardo Capitani, Universidade Federal do Rio Grande do Norte
Samik Datta, National Institute of Water and Atmospheric Research
Elizabeth A. Fulton, University of Tasmania
Alba Fuster, CSIC - Instituto de Ciencias del Mar (ICM)
Victoria Garza, Louisiana State University
Matthieu Lengaigne, Université de Montpellier
Max Lindmark, Sveriges lantbruksuniversitet
Kieran Murphy, Institute for Marine and Antarctic Studies

Document Type

Article

Publication Date

12-1-2024

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.

Publication Source (Journal or Book title)

Earth S Future

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