Catastrophic dynamics limit Atlantic cod recovery

Camilla Sguotti*, Saskia A Otto, Romain Frelat, Tom J Langbehn, Marie Plambech Ryberg, Martin Lindegren, Joël M Durant, Nils Chr. Stenseth, Christian Möllmann

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Collapses and regime changes are pervasive in complex systems (such as marine ecosystems) governed by multiple stressors. The demise of Atlantic cod ( Gadus morhua) stocks constitutes a text book example of the consequences of overexploiting marine living resources, yet the drivers of these nearly synchronous collapses are still debated. Moreover, it is still unclear why rebuilding of collapsed fish stocks such as cod is often slow or absent. Here, we apply the stochastic cusp model, based on catastrophe theory, and show that collapse and recovery of cod stocks are potentially driven by the specific interaction between exploitation pressure and environmental drivers. Our statistical modelling study demonstrates that for most of the cod stocks, ocean warming could induce a nonlinear discontinuous relationship between fishing pressure and stock size, which would explain hysteresis in their response to reduced exploitation pressure. Our study suggests further that a continuing increase in ocean temperatures will probably limit productivity and hence future fishing opportunities for most cod stocks of the Atlantic Ocean. Moreover, our study contributes to the ongoing discussion on the importance of climate and fishing effects on commercially exploited fish stocks, highlighting the importance of considering discontinuous dynamics in holistic ecosystem-based management approaches, particularly under climate change.
Original languageEnglish
Article number20182877
JournalProceedings of the Royal Society B: Biological Sciences
Volume286
Issue number1898
Number of pages10
ISSN0962-8452
DOIs
Publication statusPublished - 2019

Keywords

  • Atlantic cod
  • Catastrophe theory
  • Population recovery
  • Stochastic cusp modelling
  • Stock collapse

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