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Large Biomass Reduction Effect on the Relative Role of Climate, Fishing, and Recruitment on Fish Population Dynamics

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Journal Sci Rep
Specialty Science
Date 2024 Apr 18
PMID 38637592
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Abstract

Many species around the world have collapsed, yet only some have recovered. A key question is what happens to populations post collapse. Traditionally, marine fish collapses are linked to overfishing, poor climate, and recruitment. We test whether the effect on biomass change from these drivers remains the same after a collapse. We used a regression model to analyse the effect of harvesting, recruitment, and climate variability on biomass change before and after a collapse across 54 marine fish populations around the world. The most salient result was the change in fishing effect that became weaker after a collapse. The change in sea temperature and recruitment effects were more variable across systems. The strongest changes were in the pelagic habitats. The resultant change in the sensitivity to external drivers indicates that whilst biomass may be rebuilt, the responses to variables known to affect stocks may have changed after a collapse. Our results show that a general model applied to many stocks provides useful insights, but that not all stocks respond similarly to a collapse calling for stock-specific models. Stocks respond to environmental drivers differently after a collapse, so caution is needed when using pre-collapse knowledge to advise on population dynamics and management.

Citing Articles

The Once and Future Fish: Assessing a Millennium of Atlantic Herring Exploitation Through Mixed-Stock Analysis and Ancient DNA.

Atmore L, van der Jagt I, Boilard A, Haberle S, Blevis R, Dierickx K Glob Chang Biol. 2024; 30(12):e70010.

PMID: 39723543 PMC: 11670043. DOI: 10.1111/gcb.70010.

References
1.
Baltazar-Soares M, Biastoch A, Harrod C, Hanel R, Marohn L, Prigge E . Recruitment collapse and population structure of the European eel shaped by local ocean current dynamics. Curr Biol. 2013; 24(1):104-108. DOI: 10.1016/j.cub.2013.11.031. View

2.
Boettiger C, Lang D, Wainwright P . rfishbase: exploring, manipulating and visualizing FishBase data from R. J Fish Biol. 2012; 81(6):2030-9. DOI: 10.1111/j.1095-8649.2012.03464.x. View

3.
Langangen O, Durant J . Persistence of fish populations to longer, more intense, and more frequent mass mortality events. Glob Chang Biol. 2024; 30(3):e17251. DOI: 10.1111/gcb.17251. View

4.
Durant J, Ono K, Stenseth N, Langangen O . Nonlinearity in interspecific interactions in response to climate change: Cod and haddock as an example. Glob Chang Biol. 2020; 26(10):5554-5563. DOI: 10.1111/gcb.15264. View

5.
Hidalgo M, Gusdal Y, Dingsor G, Hjermann D, Ottersen G, Stige L . A combination of hydrodynamical and statistical modelling reveals non-stationary climate effects on fish larvae distributions. Proc Biol Sci. 2011; 279(1727):275-83. PMC: 3223673. DOI: 10.1098/rspb.2011.0750. View