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Research Article | Open Access

Analyzing diffusive vegetation-sand model: Instability, bifurcation, and pattern formation

Gaihui Guo1( )Xinyue Zhang1Jichun Li1,2Tingting Wei1
School of Mathematics and Data Science, Shaanxi University of Science and Technology, Xi'an, Shaanxi 710021, China
School of Mathematics and Statistics, Xidian University, Xi'an, Shaanxi 710126, China
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Abstract

In this study, we explored a diffusive vegetation-sand model with Neumann boundary conditions, investigating the role of Turing instability in vegetation pattern formation. A priori estimates for steady-state solutions were established using the maximum principle and Poincaré inequality. Bifurcation analysis was performed for simple and double eigenvalue cases. By employing bifurcation theory, a local bifurcation was extended globally, and the direction of bifurcation was characterized. Double eigenvalue cases were analyzed through spatial decomposition and the implicit function theorem. Finally, numerical simulations validated and complemented the theoretical results.

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Electronic Research Archive
Pages 5426-5456

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Cite this article:
Guo G, Zhang X, Li J, et al. Analyzing diffusive vegetation-sand model: Instability, bifurcation, and pattern formation. Electronic Research Archive, 2025, 33(9): 5426-5456. https://doi.org/10.3934/era.2025243

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Received: 26 June 2025
Revised: 07 August 2025
Accepted: 14 August 2025
Published: 15 September 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)