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

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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Publication Details

Journal
Electronic Research Archive
Published
2025-01-01
DOI
https://doi.org/10.3934/era.2025243
Citations
6
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
6.63
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article

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

Jichun Li, Tingting Wei, Gaihui Guo, Xinyue Zhang
6 citations
Electronic Research Archive
Ecosystem dynamics and resilience
6.63
article

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

Jichun Li, Tingting Wei, Gaihui Guo, Xinyue Zhang
article en
6 citations

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.

Electronic Research ArchiveVol. 33(9)
Xidian University (CN), Shaanxi University of Science and Technology (CN)
Openalex Percentile: Top 3%
Ecosystem dynamics and resilience
6.63
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