4.6 Article

Impact of fear in a delay-induced predator-prey system with intraspecific competition within predator species

期刊

MATHEMATICS AND COMPUTERS IN SIMULATION
卷 191, 期 -, 页码 134-156

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ELSEVIER
DOI: 10.1016/j.matcom.2021.08.005

关键词

Predator-prey system; Fear effect; Intraspecific competition; Bi-stability; Local bifurcations; Gestation delay

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In theoretical ecology, predator-prey interactions play a crucial role in shaping community structure and maintaining ecological diversity. The introduction of perceived fear cost in predator-prey models impacts the birth and death rates of prey species and can alter their physiological behavior. Additionally, considering intraspecific competition in predator species and a gestation delay in models can lead to more realistic and natural dynamics.
In theoretical ecology, predator-prey interaction is a natural phenomenon that significantly contributes for shaping the community structure and maintaining the ecological diversity. In almost every ecological model, the prey species is curtailed by the direct attacking of predator species. However, from different experimental shreds of evidence, it has been observed that fear (felt by prey) for predators can change the physiological behaviour of prey individuals and greatly reduces their reproduction rate as well as enhances their mortality rate. In this current work, we develop and explore a predator-prey model incorporating the cost of perceived fear into the birth and death rates of prey species with Holling type-II functional response. In addition, the intraspecific competition within predator species and a gestation delay are introduced in the model to obtain more realistic and natural dynamics. Feasibility of all the steady states and their stability conditions are analysed in terms of the model parameters. We show that only existence of an interior equilibrium point is sufficient to prevent the extinction of predator species. In this case, either both species can exist together or oscillate around that interior equilibrium point. We can also recognize the parametric region where the system produces multiple coexistence equilibria in which different initial biomass of populations may produce different long-term outcomes. The basic bifurcation analyses of the system exhibit that a higher level of fear or higher intraspecific competition rate helps the population to survive in a coexistence state. For a suitable choice of parametric values, the proposed model may produce the bi-stable phenomenon between two coexistence steady states. We obtain a parametric condition for which the model system experiences a Hopf bifurcation if the delay parameter exceeds some threshold value. All of these theoretical findings are verified by various numerical examples. (C) 2021 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.

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