Dynamic patterns of overexploitation in fisheries
Ilaria Perissi, Ugo Bardi, Toufic El Asmar, Alessandro Lavacchi

TL;DR
This paper introduces a dynamic predator-prey model to analyze overfishing, demonstrating that fish stock decline and industry collapse are interconnected, and providing insights into fisheries overexploitation and collapse.
Contribution
It develops a simple, coupled Lotka-Volterra based model to qualitatively describe overfishing dynamics and fishery collapses, linking fish stock decline to industry decline.
Findings
The model can fit historical fisheries collapse data.
Overexploitation is a key factor in fisheries crises.
The model offers qualitative insights into fishery dynamics.
Abstract
Understanding overfishing phenomenon 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 based on the earlier, well-known Lotka-Volterra model or Prey-Predator model. To describe exploitation patterns, we assume that the fish stock and the fishing industry are coupled stock variables in the model and they dynamically affect each other, with the fishing yield proportional to both the fishing capital and the fish stock. The model is based on…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMarine and fisheries research · Marine Bivalve and Aquaculture Studies · Evolutionary Game Theory and Cooperation
