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Research Article | Open Access

Dynamic analysis and validation of a prey-predator model based on fish harvesting and discontinuous prey refuge effect in uncertain environments

Yuan Tian1( )Hua Guo2Wenyu Shen1Xinrui Yan1Jie Zheng3Kaibiao Sun4( )
School of Science, Dalian Maritime University, Dalian 116026, China
Aviation University of Air Force, Changchun 130022, China
Liaoning Ocean and Fisheries Science Research Institute, Dalian 116023, China
School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China
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Abstract

Dynamic modeling, analysis, and control of fish ecosystems are important for promoting the sustainable development of fish stocks. The objective of this study is to analyze the dynamic behavior of prey-predator systems with discontinuous prey refuge effect and different types of harvesting activities in an uncertain environment. Initially, a Filippov-type prey-predator model with fuzzy parameters is formulated and the positivity and bounded-ness of the solutions and the dynamic properties of Filippov prey-predator system are discussed. Next, from the perspective of effective exploitation and utilization of fish resources, a state linearly dependent fishing strategy is adopted into the system and a fishing model based on threshold feedback is established, as well as an analysis on the complex dynamics of the control system. Finally, to illustrate the theoretical results, computer simulations are presented step by step with an explanation on the practical significance. This study provides a reference for in-depth understanding of the development dynamics of fish resources and scientific planning of fishery resources exploitation.

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Electronic Research Archive
Pages 973-994

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Cite this article:
Tian Y, Guo H, Shen W, et al. Dynamic analysis and validation of a prey-predator model based on fish harvesting and discontinuous prey refuge effect in uncertain environments. Electronic Research Archive, 2025, 33(2): 973-994. https://doi.org/10.3934/era.2025044

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Received: 10 December 2024
Revised: 04 February 2025
Accepted: 10 February 2025
Published: 15 February 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)