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Research Article | Open Access

Combined effects of antipredator behaviors and cooperative hunting in a stage-structured predator-prey model

Ankur Jyoti Kashyap1,5( )Fengde Chen2Fanitsha Mohan3Anuradha Devi3Hemanta Kumar Sarmah4
Department of Mathematics, Girijananda Chowdhury University, Guwahati, 781017, India
School of Mathematics and Statistics, Fuzhou University, Fuzhou 350108, China
Department of Mathematics, The Assam Royal Global University, Guwahati, 781035, India
Department of Mathematics, Gauhati University, Guwahati, 781014, India
Center for Wildlife and Environmental Studies, Girijananda Chowdhury University, Guwahati, 781017, India
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Abstract

Collaborative hunting among predators is a common strategy that significantly improves the efficiency of the hunting process by increasing prey fear, consequently impacting their reproduction rate. This work investigated a predator-prey interaction system with a stage-structured prey population. The conversion from juvenile to matured prey was assumed to be density-dependent. We also assumed that predators benefit from hunting cooperation and that mature prey are capable of defending in groups against predators. All possible biologically feasible equilibrium states of the model were determined, and their stabilities were analyzed. The role of various important factors, e.g., hunting cooperation rate, predation rate, and rate of fear, on the system dynamics were discussed. Populations within the ecosystem exhibit chaotic dynamics with varying predator mortality rates. In addition, a stable stock of predator population was observed with its increasing mortality rate, showing a positive hydra effect.

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Mathematical Modelling and Control
Pages 338-354

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Cite this article:
Kashyap AJ, Chen F, Mohan F, et al. Combined effects of antipredator behaviors and cooperative hunting in a stage-structured predator-prey model. Mathematical Modelling and Control, 2025, 5(4): 338-354. https://doi.org/10.3934/mmc.2025023

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Received: 19 October 2023
Revised: 30 August 2024
Accepted: 24 October 2024
Published: 15 December 2025
©2025 the Author(s), licensee AIMS Press.

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