A model of discrete Kolmogorov-type competitive interaction in a two-species ecosystem
Sudeepto Bhattacharya, L.M. Saha

TL;DR
This paper models a two-species ecosystem using a discrete Kolmogorov system, revealing how interspecific interactions influence the transition between regular and chaotic dynamics during evolution.
Contribution
It introduces a discrete-time Kolmogorov model for two-species competition and analyzes how interaction parameters affect system dynamics and chaos emergence.
Findings
Transition from regular to chaotic dynamics observed
Interspecific interaction constants determine chaos presence
Long-term coexistence linked to specific interaction values
Abstract
An ecosystem is a nonlinear dynamical system, its orbits giving rise to the observed complexity in the system. The diverse components of the ecosystem interact in discrete time to give rise to emergent features that determine the trajectory of system's time evolution. The paper studies the evolutionary dynamics of a toy two species ecosystem modelled as a discrete time Kolmogorov system. It is assumed that only the two species comprise the ecosystem and compete with each other for obtaining growth resources, mediated through inter as well as intraspecific coupling constants to obtain resources for growth. Numerical simulations reveal the transition from regular to irregular dynamics and emergence of chaos during the process of evolution of these populations. We find that the presence or absence of chaotic dynamics is being determined by the interspecific interaction coefficients. For…
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Taxonomy
TopicsEcosystem dynamics and resilience · Evolutionary Game Theory and Cooperation · Mathematical and Theoretical Epidemiology and Ecology Models
