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September 10, 2025PLoS ONEOpen Access

Exploration of short-term predictions and long-term projections of Barents Sea cod biomass using statistical methods on data from dynamical models

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Authors

MKMariko KosekiASAnne Britt SandøGOGeir Ottersen

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Overview

Statistical models predict biomass trends of Atlantic cod in Barents Sea, indicating climate impacts.

Key Points

  • Several regression models effectively capture variability in barents sea cod biomass, showing high prediction skills.
  • Models suggest that increased ocean temperature and abundant zooplankton may significantly boost total cod stock.
  • Findings illustrate variability in environmental variables can provide a good approximation for cod dynamics.
  • Further addressing factors like fishing and natural mortality will enhance understanding of cod stock trends.

Cite This Study

Koseki et al. (2025) studied this question.

synapsesocial.com/papers/68c1a5e554b1d3bfb60df143https://doi.org/10.1371/journal.pone.0328762
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