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Published VersionCC BY V4.0, Open Access
Journal article
Disentangling diverse responses to climate change among global marine ecosystem models
Progress in Cceanography, Vol.198, pp.1-16
2021
Abstract
Climate change is warming the ocean and impacting lower trophic level (LTL) organisms. Marine ecosystem models can provide estimates of how these changes will propagate to larger animals and impact societal services such as fisheries, but at present these estimates vary widely. A better understanding of what drives this inter model variation will improve our ability to project fisheries and other ecosystem services into the future, while also helping to identify uncertainties in process understanding. Here, we explore the mechanisms that underlie the diversity of responses to changes in temperature and LTLs in eight global marine ecosystem models from the Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP). Temperature and LTL impacts on total consumer biomass and ecosystem structure (defined as the relative change of small and large organism biomass) were isolated using a comparative experimental protocol. Total model biomass varied between -35% to +3% in response to warming, and -17% to +15% in response to LTL changes. There was little consensus about the spatial redistribution of biomass or changes in the balance between small and large organisms (ecosystem structure) in response to warming, an LTL impacts on total consumer biomass varied depending on the choice of LTL forcing terms. Overall, climate change impacts on consumer biomass and ecosystem structure are well approximated by the sum of temperature and LTL impacts, indicating an absence of nonlinear interaction between the models' drivers. Our results highlight a lack of theoretical clarity about how to represent fundamental ecological mechanisms, most importantly how temperature impacts scale from individual to ecosystem level, and the need to better understand the two-way coupling between LTL organisms and consumers. We finish by identifying future research needs to strengthen global marine ecosystem modelling and improve projections of climate change impacts.
Details
- Title
- Disentangling diverse responses to climate change among global marine ecosystem models
- Authors
- Ryan F. Heneghan (Corresponding Author) - Universitat Autònoma de BarcelonaEric Galbraith (Author) - McGill UniversityJulia L. Blanchard (Author) - University of TasmaniaCheryl Harrison (Author) - The University of Texas Rio Grande ValleyNicolas Barrier (Author) - Marine Biodiversity Exploitation and ConservationCatherine Bulman (Author) - CSIRO Oceans and AtmosphereWilliam Cheung (Author) - University of British ColumbiaMarta Coll (Author) - Ecopath International InitiativeTyler D. Eddy (Author) - Memorial University of NewfoundlandMaite Erauskin-Extramiana (Author) - AZTIJason D. Everett (Author) - CSIRO Oceans and AtmosphereJose A. Fernandes-Salvador (Author) - AZTIDidier Gascuel (Author) - Ecology and Ecosystem HealthJerome Guiet (Author) - University of California, Los AngelesOlivier Maury (Author) - Marine Biodiversity Exploitation and ConservationJuliano Palacios-Abrantes (Author) - University of British ColumbiaColleen M. Petrik (Author) - Texas A&M UniversityHubert du Pontavice (Author) - Ecology and Ecosystem HealthAnthony J. Richardson (Author) - CSIRO Oceans and AtmosphereJeroen Steenbeek (Author) - Ecopath International InitiativeTravis C. Tai (Author) - University of British ColumbiaJan Volkholz (Author) - Potsdam Institute for Climate Impact ResearchPhoebe A. Woodworth-Jefcoats (Author) - National Oceanic and Atmospheric AdministrationDerek P. Tittensor (Author) - Dalhousie University
- Publication details
- Progress in Cceanography, Vol.198, pp.1-16
- Publisher
- Elsevier Ltd
- Date published
- 2021
- DOI
- 10.1016/j.pocean.2021.102659
- ISSN
- 1873-4472; 0079-6611
- Copyright note
- © 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Grants
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99744889402621
- Output Type
- Journal article
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