Dynamical behavior of obligatory mutualistic-cheater interactions under the influence of white noise

Intraspecific mutualism is vital for ecosystems. Some interactions involve one species benefiting without reciprocating. Recent experiments suggest stable co-existence between mutualists and cheaters. This paper focuses on interactions between obligate mutualistic species and their cheaters, using a modified Lotka-Volterra model to analyze the negative impact of cheaters. We establish conditions for stability and verify a diffusive system's stability under spatial effects. Additionally, we study population dynamics fluctuations in the presence of Gaussian noise.

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Publication Details

Journal
Partial Differential Equations in Applied Mathematics
Published
2024-08-23
DOI
https://doi.org/10.1016/j.padiff.2024.100860
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
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Dynamical behavior of obligatory mutualistic-cheater interactions under the influence of white noise

K. Bhagya laxmi, Kavita S. Reddy
Partial Differential Equations in Applied Mathematics
Evolutionary Game Theory and Cooperation
article

Dynamical behavior of obligatory mutualistic-cheater interactions under the influence of white noise

K. Bhagya laxmi, Kavita S. Reddy
article en

Abstract

Intraspecific mutualism is vital for ecosystems. Some interactions involve one species benefiting without reciprocating. Recent experiments suggest stable co-existence between mutualists and cheaters. This paper focuses on interactions between obligate mutualistic species and their cheaters, using a modified Lotka-Volterra model to analyze the negative impact of cheaters. We establish conditions for stability and verify a diffusive system's stability under spatial effects. Additionally, we study population dynamics fluctuations in the presence of Gaussian noise.

Partial Differential Equations in Applied MathematicsVol. 11
Advanced Numerical Research and Analysis Group (IN)
Openalex Percentile: Top 78%
Evolutionary Game Theory and Cooperation
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