ArticlePloS one2021
Fisheries management as a Stackelberg Evolutionary Game: Finding an evolutionarily enlightened strategy.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- Cooperative pathways for the green transformation of heavily polluting enterprises: A four-party game-driven mechanism for green M&A.PloS one · 2025Article
- Stackelberg Evolutionary Games of Cancer Treatment: What Treatment Strategy to Choose if Cancer Can be Stabilized?Dynamic games and applications · 2025Article
- Stability of the Darwinian Dynamics: Effect of Intraspecific Competition and Human Intervention.Dynamic games and applications · 2025Article
- Stackelberg evolutionary game theory: how to manage evolving systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- A policy-making model for evolutionary SME behavior during a pandemic recession supported on game theory approach.Computers & industrial engineering · 2023Article
- Modeling cancer's ecological and evolutionary dynamics.Medical oncology (Northwood, London, England) · 2023Article
- Biomarkers or biotargets? Using competition to lure cancer cells into evolutionary traps.Evolution, medicine, and public health · 2023Article
- The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.Dynamic games and applications · 2022Review
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Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
Abstract
Fish populations subject to heavy exploitation are expected to evolve over time smaller average body sizes. We introduce Stackelberg evolutionary game theory to show how fisheries management should be adjusted to mitigate the potential negative effects of such evolutionary changes. We present the game of a fisheries manager versus a fish population, where the former adjusts the harvesting rate and the net size to maximize profit, while the latter responds by evolving the size at maturation to maximize the fitness. We analyze three strategies: i) ecologically enlightened (leading to a Nash equilibrium in game-theoretic terms); ii) evolutionarily enlightened (leading to a Stackelberg equilibrium) and iii) domestication (leading to team optimum) and the corresponding outcomes for both the fisheries manager and the fish. Domestication results in the largest size for the fish and the highest profit for the manager. With the Nash approach the manager tends to adopt a high harvesting rate and a small net size that eventually leads to smaller fish. With the Stackelberg approach the manager selects a bigger net size and scales back the harvesting rate, which lead to a bigger fish size and a higher profit. Overall, our results encourage managers to take the fish evolutionary dynamics into account. Moreover, we advocate for the use of Stackelberg evolutionary game theory as a tool for providing insights into the eco-evolutionary consequences of exploiting evolving resources.
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