Optimal placement of marine protected areas for a predator–prey fish model

Author:

Sun Yuhui1,Lv Guangying12ORCID,Liu Wenjun12,Auger Pierre3

Affiliation:

1. School of Mathematics and Statistics, Nanjing University of Information, Science and Technology, Nanjing 210044, P. R. China

2. Jiangsu International Joint Laboratory on System Modeling and Data Analysis, Center for Applied Mathematics of Jiangsu Province, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China

3. Institut de Recherche pour le Développement, UMMISCO, Sorbonne Université, IRD, F-93143 Bondy, France

Abstract

This paper proposes a fishery model with price fluctuations and predators. Under the assumption that the price changes much faster than other variables in the system, the fishery model can be considered as a fast–slow system. Using the approximate aggregation method, a simplified three-dimensional model is used for further research. The results indicate that due to overfishing by fishermen and the presence of predators, fish populations may become extinct, which is also known as catastrophic equilibrium. To avoid this situation, we propose two solutions. The first is to establish marine protected areas (MPAs) that prohibit fishing. We propose a fish population dynamics model with MPA, assuming that fish and predators move freely in protected areas and fishing areas. The results show that it is necessary to establish MPA. The second type is that regulatory agencies can control overfishing by fishermen by increasing taxes, thereby avoiding a catastrophic equilibrium. The ultimate goal is to achieve maximum economic benefits while maintaining balanced development of the ecosystem.

Funder

National Natural Science Foundation of China

Publisher

World Scientific Pub Co Pte Ltd

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal harvest for predator–prey fishery models with variable price and marine protected area;Communications in Nonlinear Science and Numerical Simulation;2024-07

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