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Research Article | Open Access

Turing instability and bifurcation in a predator-prey model with nonlocal fear and nonlinear cross-diffusion

Meiling Zhao1,2Sen Wang1,2Biao Liu1,2( )
School of Mathematics and Physics, Anhui Jianzhu University, Hefei 230601, China
Operations Research and Data Science Laboratory, Anhui Jianzhu University, Hefei 230601, China
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Abstract

This paper has studied a predator-prey model that incorporates a nonlocal fear effect and nonlinear cross-diffusion under homogeneous Neumann boundary conditions. We have derived necessary and sufficient conditions for Turing instability in the presence of both nonlocal fear and nonlinear cross-diffusion by means of linear stability analysis. Moreover, we have investigated steady-state bifurcations induced by the nonlocal fear effect using the Lyapunov-Schmidt reduction.

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Electronic Research Archive
Pages 7428-7441

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Cite this article:
Zhao M, Wang S, Liu B. Turing instability and bifurcation in a predator-prey model with nonlocal fear and nonlinear cross-diffusion. Electronic Research Archive, 2025, 33(12): 7428-7441. https://doi.org/10.3934/era.2025327

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Received: 27 September 2025
Revised: 19 November 2025
Accepted: 25 November 2025
Published: 09 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 (http://creativecommons.org/licenses/by/4.0)