Evidence map›Paper›PMID 41957200›Full record

ArticleJournal of mathematical biology2026

Numerical bifurcation analysis of turing and symmetry broken patterns of a PDE model for vegetation dynamics.

Konstantinos Spiliotis, Lucia Russo, Constantinos Siettos, Francesco Giannino

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Article in Journal of mathematical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Konstantinos SpiliotisLaboratory of Mathematics and Informatics (ISCE), Department of Civil Engineering, Democritus University of Thrace, Komotini, Greece.
Lucia RussoIstituto di Scienze e Tecnologie per l'Energia e la Mobilitá Sostenibili, CNR, Naples, Italy. lucia.russo@stems.cnr.it.
Constantinos SiettosDipartimento di Matematica e Applicazioni "Renato Caccioppoli", Universitá degli Studi di Napoli Federico II, Naples, Italy.
Francesco GianninoDipartimento di Agraria, Universitá degli Studi di Napoli Federico II, Naples, Italy. giannino@unina.it.ORCID http://orcid.org/0000-0001-6860-1767

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study the mechanisms of pattern formation for vegetation dynamics in water-limited regions. Our analysis is based on a set of two partial differential equations (PDEs) of reaction-diffusion type for the biomass and water, and one ordinary differential equation (ODE) describing the dependence of the toxicity on the biomass. We perform a linear stability analysis in the one-dimensional finite space, we derive analytically the conditions for the appearance of Turing instability that gives rise to spatio-temporal patterns emanating from the homogeneous solution, and provide its dependence with respect to the size of the domain. Furthermore, we perform a numerical bifurcation analysis in order to study the pattern formation of the inhomogeneous solution, with respect to the precipitation rate, thus analyzing the stability and symmetry properties of the emanating patterns. Based on the numerical bifurcation analysis, we have found new patterns, which form due to the onset of secondary bifurcations from the primary Turing instability, thus giving rise to a multistability of asymmetric solutions.

Indexed as

EcosystemModels, BiologicalPlant DevelopmentBiomassComputer SimulationMathematical ConceptsWaterWaterNumerical Bifurcation AnalysisReaction-Diffusion Ecological SystemsSymmetry Breaking in PDEsTuring Instabilities

Identifiers

PMID41957200
PMCPMC13065599

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