Self-diffusion Driven Pattern Formation in Prey-Predator System with Complex Habitat under Fear Effect
Debaldev Jana, Saikat Batabyal, M. Lakshmanan

TL;DR
This paper investigates how habitat complexity and fear effects influence pattern formation in a predator-prey system with diffusion, revealing conditions for stability, bifurcations, and Turing patterns through analytical and numerical methods.
Contribution
It introduces a modified predator-prey model incorporating habitat complexity and fear effects, analyzing pattern formation and stability in spatial systems.
Findings
Habitat complexity and fear effects induce diverse spatial patterns.
Conditions for Turing instability and pattern stability are derived.
Numerical simulations confirm theoretical predictions of pattern formation.
Abstract
In the present work, we explore the influence of habitat complexity on the activities of prey and predator of a spatio-temporal system by incorporating self diffusion. First we modify the Rosenzweig-MacArthur predator-prey model by incorporating the effects of habitat complexity on the carrying capacity and fear effect of prey and predator functional response. We establish conditions for the existence and stability of all feasible equilibrium points of the non-spatial model and later we prove the existence of Hopf and transcritical bifurcations in different parametric phase-planes analytically and numerically. The stability of the spatial system is studied and we discuss the conditions for Turing instability. Selecting suitable control parameter from the Turing space, the existence conditions for stable patterns are derived using the amplitude equations. Results obtained from…
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Evolution and Genetic Dynamics · Evolutionary Game Theory and Cooperation
