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Dynamic patterns of overexploitation in fisheries

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  • Perissi, Ilaria
  • Bardi, Ugo
  • El Asmar, Toufic
  • Lavacchi, Alessandro

Abstract

Understanding overfishing and regulating fishing quotas is a major global challenge for the 21st Century both in terms of providing food for humankind and to preserve the oceans’ ecosystems. However, fishing is a complex economic activity, affected not just by overfishing but also by such factors as pollution, technology, financial factors and more. For this reason, it is often difficult to state with complete certainty that overfishing is the cause of the decline of a fishery. In this study, we developed a simple dynamic model specifically designed to isolate and to study the role of depletion on production. The model is based on the well-known Lotka-Volterra model, or Prey-Predator mechanism, assuming that the fish stock and the fishing industry are coupled variables that dynamically affect each other. In the model, the fishing industry acts as the “predator” and the fish stock as the “prey”. If the model can fit historical data, in particular relative to the productive decline of specific fisheries, then we have a strong indication that the decline of the fish stock is driving the decline of the fishery production. The model doesn’t pretend to be a general description of the fishing industry in all its varied forms; however, the data reported here show that the model can describe several historical cases of fisheries whose production decreased and collapsed, indicating that the overexploitation of the fish stocks is an important factor in the decline of fisheries.

Suggested Citation

  • Perissi, Ilaria & Bardi, Ugo & El Asmar, Toufic & Lavacchi, Alessandro, 2017. "Dynamic patterns of overexploitation in fisheries," Ecological Modelling, Elsevier, vol. 359(C), pages 285-292.
    • Handle: RePEc:eee:ecomod:v:359:y:2017:i:c:p:285-292
    DOI: 10.1016/j.ecolmodel.2017.06.009
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    References listed on IDEAS

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    Cited by:

    1. Ugo Bardi & Sara Falsini & Ilaria Perissi, 2019. "Toward a General Theory of Societal Collapse: A Biophysical Examination of Tainter’s Model of the Diminishing Returns of Complexity," Biophysical Economics and Resource Quality, Springer, vol. 4(1), pages 1-9, March.
    2. María-José Gutiérrez & Belén Inguanzo, 2019. "Contributing to Fisheries Sustainability: Inequality Analysis in the High Seas Catches of Countries," Sustainability, MDPI, vol. 11(11), pages 1-20, June.
    3. Ilaria Perissi & Alessandro Lavacchi & Ugo Bardi, 2021. "The Role of Energy Return on Energy Invested (EROEI) in Complex Adaptive Systems," Energies, MDPI, vol. 14(24), pages 1-15, December.
    4. Aleksandr Abakumov & Yuri Izrailsky, 2022. "Optimal Harvest Problem for Fish Population—Structural Stabilization," Mathematics, MDPI, vol. 10(6), pages 1-16, March.

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