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Collapse and recovery of marine fishes

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  • Jeffrey A. Hutchings

    (Dalhousie University)

Abstract

Over-exploitation and subsequent collapse of marine fishes has focused attention on the ability of affected populations to recover to former abundance levels1,2,3 and on the degree to which their persistence is threatened by extinction4,5. Although potential for recovery has been assessed indirectly1, actual changes in population size following long-term declines have not been examined empirically. Here I show that there is very little evidence for rapid recovery from prolonged declines, in contrast to the perception that marine fishes are highly resilient to large population reductions6,7. With the possible exception of herring and related species that mature early in life and are fished with highly selective equipment, my analysis of 90 stocks reveals that many gadids (for example, cod, haddock) and other non-clupeids (for example, flatfishes) have experienced little, if any, recovery as much as 15 years after 45–99% reductions in reproductive biomass. Although the effects of overfishing on single species may generally be reversible1, the actual time required for recovery appears to be considerable. To exempt marine fishes from existing criteria used to assign extinction risk6,7 would be inconsistent with precautionary approaches to fisheries management and the conservation of marine biodiversity.

Suggested Citation

  • Jeffrey A. Hutchings, 2000. "Collapse and recovery of marine fishes," Nature, Nature, vol. 406(6798), pages 882-885, August.
  • Handle: RePEc:nat:nature:v:406:y:2000:i:6798:d:10.1038_35022565
    DOI: 10.1038/35022565
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    Cited by:

    1. Neira, Sergio & Moloney, Coleen & Shannon, Lynne J. & Christensen, Villy & Arancibia, Hugo & Jarre, Astrid, 2014. "Assessing changes in the southern Humboldt in the 20th century using food web models," Ecological Modelling, Elsevier, vol. 278(C), pages 52-66.
    2. Marick, Sounov & Bhattacharya, Santanu & Bairagi, Nandadulal, 2023. "Dynamic properties of a reaction–diffusion predator–prey model with nonlinear harvesting: A linear and weakly nonlinear analysis," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    3. Erhardt, Tobias & Weder, Rolf, 2020. "Shark hunting: On the vulnerability of resources with heterogeneous species," Resource and Energy Economics, Elsevier, vol. 61(C).
    4. James M. Stewart & Peter D. Callagher, 2003. "New Zealand fisheries management: changes in property rights structure and implications for sustainability," Sustainable Development, John Wiley & Sons, Ltd., vol. 11(2), pages 69-76.
    5. Sugiawan, Yogi & Islam, Moinul & Managi, Shunsuke, 2017. "Global marine fisheries with economic growth," Economic Analysis and Policy, Elsevier, vol. 55(C), pages 158-168.
    6. Temitope Adewale & Denis Aheto & Isaac Okyere & Olufemi Soyinka & Samuel Dekolo, 2024. "Effects of Anthropogenic Activities on Sardinella maderensis (Lowe, 1838) Fisheries in Coastal Communities of Ibeju-Lekki, Lagos, Nigeria," Sustainability, MDPI, vol. 16(7), pages 1-22, March.
    7. Erhardt, Tobias & Weder, Rolf, 2015. "Shark Hunting: International Trade and the Imminent Extinction of Heterogeneous Species," Working papers 2015/07, Faculty of Business and Economics - University of Basel.
    8. Grilli, Gianluca & Curtis, John & Hynes, Stephen, 2018. "Using angling logbook data to inform fishery management decisions," Papers WP600, Economic and Social Research Institute (ESRI).
    9. Heikinheimo, Outi, 2011. "Interactions between cod, herring and sprat in the changing environment of the Baltic Sea: A dynamic model analysis," Ecological Modelling, Elsevier, vol. 222(10), pages 1731-1742.
    10. Isomaa, Marleena & Kaitala, Veijo & Laakso, Jouni, 2013. "Baltic cod (Gadus morhua callarias) recovery potential under different environment and fishery scenarios," Ecological Modelling, Elsevier, vol. 266(C), pages 118-125.
    11. Eli D. Lazarus, 2017. "Toward a Global Classification of Coastal Anthromes," Land, MDPI, vol. 6(1), pages 1-27, February.
    12. Zhang, Chongliang & Chen, Yong & Ren, Yiping, 2016. "The efficacy of fisheries closure in rebuilding depleted stocks: Lessons from size-spectrum modeling," Ecological Modelling, Elsevier, vol. 332(C), pages 59-66.
    13. Almeida, Cheila & Karadzic, Vanja & Vaz, Sofia, 2015. "The seafood market in Portugal: Driving forces and consequences," Marine Policy, Elsevier, vol. 61(C), pages 87-94.
    14. Dercole, Fabio & Della Rossa, Fabio, 2017. "A deterministic eco-genetic model for the short-term evolution of exploited fish stocks," Ecological Modelling, Elsevier, vol. 343(C), pages 80-100.
    15. Na Wei & Wen-Jie Xie & Wei-Xing Zhou, 2024. "Resilience of international oil trade networks under extreme event shock-recovery simulations," Papers 2406.11467, arXiv.org.
    16. Eisenbarth, Sabrina, 2022. "Do exports of renewable resources lead to resource depletion? Evidence from fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    17. Cabral, Reniel B. & Aliño, Porfirio M. & Lim, May T., 2013. "A coupled stock-recruitment-age-structured model of the North Sea cod under the influence of depensation," Ecological Modelling, Elsevier, vol. 253(C), pages 1-8.
    18. Wang, Ying & Duan, Lijie & Li, Shiyu & Zeng, Zeyu & Failler, Pierre, 2015. "Modeling the effect of the seasonal fishing moratorium on the Pearl River Estuary using ecosystem simulation," Ecological Modelling, Elsevier, vol. 312(C), pages 406-416.
    19. Poudel, Diwakar & Sandal, Leif K. & Kvamsdal, Sturla F., 2012. "Analyzing Risk of Stock Collapse in a Fishery under Stochastic Profit Maximization," Discussion Papers 2012/4, Norwegian School of Economics, Department of Business and Management Science.
    20. Marco, Jorge & Valderrama, Diego, 2020. "Measuring Triple Bottomline Performance in a Fishery Attempting to Recover from Collapse: The Case of the Colombian Queen Conch Fishery," EfD Discussion Paper 20-12, Environment for Development, University of Gothenburg.
    21. Liu, Jing & Qin, Tianbao, 2018. "A Comparative Analysis of Fishing Rights From a Transaction Cost Perspective," Ecological Economics, Elsevier, vol. 153(C), pages 89-99.
    22. Hansen, Lars Gårn & Jensen, Frank & Russell, Clifford, 2013. "Instrument choice when regulators are concerned about resource extinction," Resource and Energy Economics, Elsevier, vol. 35(2), pages 135-147.
    23. Isomaa, Marleena & Kaitala, Veijo & Laakso, Jouni, 2014. "Determining the impact of initial age structure on the recovery of a healthy over-harvested population," Ecological Modelling, Elsevier, vol. 286(C), pages 45-52.
    24. Yates, K.L., 2014. "View from the wheelhouse: Perceptions on marine management from the fishing community and suggestions for improvement," Marine Policy, Elsevier, vol. 48(C), pages 39-50.
    25. Neira, Sergio & Moloney, Coleen & Christensen, Villy & Cury, Philippe & Shannon, Lynne & Arancibia, Hugo, 2014. "Analysing changes in the southern Humboldt ecosystem for the period 1970–2004 by means of dynamic food web modelling," Ecological Modelling, Elsevier, vol. 274(C), pages 41-49.

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