Issue |
Math. Model. Nat. Phenom.
Volume 17, 2022
|
|
---|---|---|
Article Number | 6 | |
Number of page(s) | 25 | |
DOI | https://doi.org/10.1051/mmnp/2022007 | |
Published online | 01 March 2022 |
Spatiotemporal pattern formation in a prey–predator model with generalist predator
Department of Mathematics and Statistics, Indian Institute of Technology Kanpur,
Kanpur
208016,
Uttar Pradesh, India.
* Corresponding author: kalyan274667@gmail.com
Received:
1
December
2021
Accepted:
9
February
2022
Generalist predators exploit multiple food sources and it is economical for them to reduce predation pressure on a particular prey species when their density level becomes comparatively less. As a result, a prey-predator system tends to become more stable in the presence of a generalist predator. In this article, we investigate the roles of both the diffusion and nonlocal prey consumption in shaping the population distributions for interacting generalist predator and its focal prey species. In this regard, we first derive the conditions associated with Turing instability through linear analysis. Then, we perform a weakly nonlinear analysis and derive a cubic Stuart-Landau equation governing amplitude of the resulting patterns near Turing bifurcation boundary. Further, we present a wide variety of numerical simulations to corroborate our analytical findings as well as to illustrate some other complex spatiotemporal dynamics. Interestingly, our study reveals the existence of traveling wave solutions connecting two spatially homogeneous coexistence steady states in Turing domain under the influence of temporal bistability phenomenon. Also, our investigation shows that nonlocal prey consumption acts as a stabilizing force for the system dynamics.
Mathematics Subject Classification: 35B36 / 37G15 / 92C15
Key words: Generalist predator / Turing instability / pattern formation / weakly nonlinear analysis / traveling waves / nonlocal prey consumption
© The authors. Published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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