Published March 2019 | Version v1
Journal article

Study of a Leslie–Gower predator-prey model with prey defense and mutual interference of predators

  • 1. Department of Mathematics, National Institute of Technology, Raipur, Chhatisgarh, 492010 (India)

Description

Prey can defend themselves against predators in many different ways. Some prey can even be dangerous to predators. Such prey posses morphological structures or behavioral adaptations, or release chemical substances that may lead to lower predation rate or death of predators. Motivated by this, we propose and analyze a predator-prey model to examine the central role of foraging in the lives of predators and dangerous prey. Three species model investigates complex dynamics in a predator-prey model that incorporates: (a) Prey defense; (b) mutual interference of predators; and (c) diffusion. We analyze boundedness of the proposed model and establish conditions for the existence of biologically feasible equilibrium points. The stability analysis of the proposed model is carried out. Conditions for Hopf bifurcation are obtained assuming growth of prey as bifurcation parameter. We analyze all the conditions for the occurrence of Turing instability in diffusion induced system. We perform numerical simulations to illustrate and justify our theoretical results. Our numerical simulation shows that proposed model has rich dynamics, including period halving and period doubling cascade. Effect of time delay on model dynamics is numerically studied. We observe some interesting complex patterns when parameter values are taken in Turing-Hopf domain. Finally, we conclude that better defense ability of prey is able to destabilize the predator-prey system.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2019.01.012

Additional details

Identifiers

DOI
10.1016/j.chaos.2019.01.012;
PII
S0960077918308403;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
120
Journal Page Range
p. 1-16
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54120537
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
BIFURCATION; COMPUTERIZED SIMULATION; EQUILIBRIUM; INSTABILITY; STABILITY; TIME DELAY
Descriptors DEC
SIMULATION

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.