An Integrated Global‐To‐Regional Scale Workflow for Simulating Climate Change Impacts on Marine Ecosystems

Abstract As the urgency to evaluate the impacts of climate change on marine ecosystems increases, there is a need to develop robust projections and improve the uptake of ecosystem model outputs in policy and planning. Standardizing input and output data is a crucial step in evaluating and communicating results, but can be challenging when using models with diverse structures, assumptions, and outputs that address region‐specific issues. We developed an implementation framework and workflow to standardize the climate and fishing forcings used by regional models contributing to the Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) and to facilitate comparative analyses across models and a wide range of regions, in line with the FishMIP 3a protocol. We applied our workflow to three case study areas‐models: the Baltic Sea Mizer, Hawai'i‐based Longline fisheries therMizer, and the southern Benguela ecosystem Atlantis marine ecosystem models. We then selected the most challenging steps of the workflow and illustrated their implementation in different model types and regions. Our workflow is adaptable across a wide range of regional models, from non‐spatially explicit to spatially explicit and fully‐depth resolved models and models that include one or several fishing fleets. This workflow will facilitate the development of regional marine ecosystem model ensembles and enhance future research on marine ecosystem model development and applications, model evaluation and benchmarking, and global‐to‐regional model comparisons.

Authors

Institutions

Publication Details

Journal
Earth s Future
Published
2025-02-01
DOI
https://doi.org/10.1029/2024ef004826
Citations
9
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
9.95

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Integrated Global‐To‐Regional Scale Workflow for Simulating Climate Change Impacts on Marine Ecosystems

Yunne‐Jai Shin, Olivier Maury, Howard Townsend, George A. Whitehouse et al.
9 citations
Earth s Future
Marine and fisheries research
9.95
article

An Integrated Global‐To‐Regional Scale Workflow for Simulating Climate Change Impacts on Marine Ecosystems

Yunne‐Jai Shin, Olivier Maury, Howard Townsend, George A. Whitehouse, Vivitskaia Tulloch, E. O. Adekoya, Marta Coll, Hem Nalini Morzaria‐Luna, Camilla Novaglio, Cecilie Bo Hansen, Beatriz S. Dias, Vidette McGregor, Lynne Jane Shannon, Jazel Ouled‐Cheikh, Elizabeth A. Fulton, Kelly Ortega‐Cisneros, Derek P. Tittensor, Tyler D. Eddy, James J. Ruzicka, Ryan Heneghan, Julia L. Blanchard, Jonathan C. P. Reum, Kieran Murphy, Alice Rogers, Samik Datta, Cathy Bulman, Mercedes Pozo Buil, Alaia Morell, Andrea Bryndum‐Buchholz, Denisse Fierro‐Arcos, Bérengère Husson, Roshni C. Subramaniam, Leonardo Capitani, Phoebe A. Woodworth‐Jefcoats, Ricardo Oliveros‐Ramos, Cheryl S. Harrison, Jeroen Steenbeek, Jacob Schewe, Max Lindmark, Ilaria Stollberg, Alba Fuster‐Alonso
article en
9 citations

Abstract

Abstract As the urgency to evaluate the impacts of climate change on marine ecosystems increases, there is a need to develop robust projections and improve the uptake of ecosystem model outputs in policy and planning. Standardizing input and output data is a crucial step in evaluating and communicating results, but can be challenging when using models with diverse structures, assumptions, and outputs that address region‐specific issues. We developed an implementation framework and workflow to standardize the climate and fishing forcings used by regional models contributing to the Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) and to facilitate comparative analyses across models and a wide range of regions, in line with the FishMIP 3a protocol. We applied our workflow to three case study areas‐models: the Baltic Sea Mizer, Hawai'i‐based Longline fisheries therMizer, and the southern Benguela ecosystem Atlantis marine ecosystem models. We then selected the most challenging steps of the workflow and illustrated their implementation in different model types and regions. Our workflow is adaptable across a wide range of regional models, from non‐spatially explicit to spatially explicit and fully‐depth resolved models and models that include one or several fishing fleets. This workflow will facilitate the development of regional marine ecosystem model ensembles and enhance future research on marine ecosystem model development and applications, model evaluation and benchmarking, and global‐to‐regional model comparisons.

Earth s FutureVol. 13(2)
NOAA National Marine Fisheries Service (US), Griffith University (AU), Louisiana State University (US), CSIRO Oceans and Atmosphere (AU), Centre National de la Recherche Scientifique (FR), University of Tasmania (AU), Dalhousie University (CA), Memorial University of Newfoundland (CA), National Oceanic and Atmospheric Administration (US), University of Alaska Fairbanks (US), The King's College (US), University of Puget Sound (US), Ifremer (FR), University of Cape Town (ZA), Cooperative Institute for Research in Environmental Sciences (US), University of California, Santa Cruz (US), Université de Montpellier (FR), University of Washington (US), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), North Pacific Marine Science Organization (CA), Norwegian Institute of Marine Research (NO), Swedish University of Agricultural Sciences (SE), Leibniz Association (DE), Office of Science (US), Victoria University of Wellington (NZ), NOAA National Marine Fisheries Service Alaska Fisheries Science Center (US), Centre for Marine Socioecology (AU), NOAA National Marine Fisheries Service Pacific Islands Fisheries Science Center (US), Ecopath International Initiative (ES), Marine Biodiversity Exploitation and Conservation (FR), University of Washington Tacoma (US), Institut de Ciències del Mar (ES), Impact (CA), Institut de Recherche pour le Développement (FR), NOAA National Marine Fisheries Service Northwest Fisheries Science Center (US), NOAA National Marine Fisheries Service Office of Science and Technology, National Institute of Water and Atmospheric Research (NZ), Potsdam Institute for Climate Impact Research (DE), Swiss Federal Institute of Aquatic Science and Technology (CH), Universitat de Barcelona (ES)
National Research Foundation, Horizon 2020 Framework Programme
Life below water, Climate action
Openalex Percentile: Top 2%
Marine and fisheries research
9.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.