Integrating ecophysiology and plankton dynamics into projected maximum fisheries catch potential under climate change in the Northeast Atlantic
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Abstract Cheung, W. W. L., Dunne, J., Sarmiento, J. L., and Pauly, D. 2011. Integrating ecophysiology and plankton dynamics into projected maximum fisheries catch potential under climate change in the Northeast Atlantic. – ICES Journal of Marine Science, 68: 1008–1018. Previous global analyses projected shifts in species distributions and maximum fisheries catch potential across ocean basins by 2050 under the Special Report on Emission Scenarios (SRES) A1B. However, these studies did not account for the effects of changes in ocean biogeochemistry and phytoplankton community structure that affect fish and invertebrate distribution and productivity. This paper uses a dynamic bioclimatic envelope model that incorporates these factors to project distribution and maximum catch potential of 120 species of exploited demersal fish and invertebrates in the Northeast Atlantic. Using projections from the US National Oceanic and Atmospheric Administration's (NOAA) Geophysical Fluid Dynamics Laboratory Earth System Model (ESM2.1) under the SRES A1B, we project an average rate of distribution-centroid shift of 52 km decade−1 northwards and 5.1 m decade−1 deeper from 2005 to 2050. Ocean acidification and reduction in oxygen content reduce growth performance, increase the rate of range shift, and lower the estimated catch potentials (10-year average of 2050 relative to 2005) by 20–30% relative to simulations without considering these factors. Consideration of phytoplankton community structure may further reduce projected catch potentials by ∼10%. These results highlight the sensitivity of marine ecosystems to biogeochemical changes and the need to incorporate likely hypotheses of their biological and ecological effects in assessing climate change impacts.
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In response to ocean warming, marine populations tend to move toward the poles and deeper depths.
“In response to ocean warming, marine populations tend to move toward the poles and deeper depths [4–7].”
From Shift in Tuna Catches Due to Ocean Warming (2017) · cites this paper as [7]
The Results report that most of the 120 studied fish and invertebrates in the Northeast Atlantic were projected to shift northward, with distribution centroids also moving into deeper water between 2005 and 2050. This supports the direction of the claim, but the source presents a regional model projection under climate-change scenarios, not a general observed tendency across marine populations in response to warming alone. (LLM, conf=0.83)
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Self-citation
- Authors
- Cheung, W. W. L., Dunne, J., Sarmiento, J. L., & Pauly, D.
- Affiliations
- University of East Anglia (GB)
- National Oceanic and Atmospheric Administration (US)
- Princeton University (US)
- University of British Columbia (CA)
- Corresponding author
- Cheung, William W. L.
- Venue
- ICES Journal of Marine Science
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-04-13
- Volume
- 68
- Issue
- 6
- Pages
- 1008-1018
- ISSN
- 1054-3139 (ISSN-L)
- 1095-9289
- OpenAlex
- W2123299783
- Cited by
- 305
- References
- 2
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 19 · 2023: 24 · 2022: 16 · 2021: 19 · 2020: 25 · 2019: 20 · 2018: 19 · 2017: 15 · 2016: 29 · 2015: 18 · 2014: 24 · 2013: 35 · 2012: 25
- FWCI
- 24.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ICES Journal of Marine Science (publishedVersion)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Funders
- Ford Motor Company
- Princeton University
- Centre for Environment, Fisheries and Aquaculture Science
- University of British Columbia
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Keywords
- climate change impacts on fisheries, phytoplankton community structure, ocean acidification, ocean deoxygenation, range shifts, bioclimatic envelope models, Northeast Atlantic, ocean biogeochemistry, SRES A1B scenario, fish growth
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