Complex dynamics generated by negative and positive feedback delays of a prey-predator system with prey refuge: Hopf bifurcation to Chaos

TL;DR

This paper investigates how two types of delays in a prey-predator model with prey refuge influence system dynamics, revealing conditions for stability, periodicity, or chaos, and deriving bifurcation properties.

Contribution

It introduces a multi-delayed prey-predator model with prey refuge and analyzes the effects of two discrete delays on system dynamics and bifurcation behavior.

Findings

Delays can induce stable, periodic, or chaotic dynamics.

Delays work in a complementary manner to influence stability.

Explicit bifurcation formulas are derived using normal form theory.

Abstract

Various field and laboratory experiments show that prey refuge plays a significant role in the stability of prey-predator dynamics. On the other hand, theoretical studies show that delayed system exhibits a much more realistic dynamics than its non-delayed counterpart. In this paper, we study a multi-delayed prey-predator model with prey refuge. We consider modified Holling Type II response function that incorporates the effect of prey refuge and then introduce two discrete delays in the model system. A negative feedback delay is considered in the logistic prey growth rate to represent density dependent feedback mechanism and a positive feedback delay is considered to represent the gestation time of the predator. Our study reveals that the system exhibits different dynamical behaviors, viz., stable coexistence, periodic coexistence or chaos depending on the values of the delay parameters and degree of prey refuge. The interplay between two delays for a fixed value of prey refuge has also been determined. It is noticed that these delays work in a complementary fashion. In addition, using the normal form theory and center manifold argument, we derive the explicit formulae for determining the direction of the bifurcation, the stability and other properties of the bifurcating periodic solutions.