Dynamical behaviour of an ecological system with Beddington-DeAngelis functional response
Sahabuddin Sarwardi, Md. Reduanur Mandal, Nurul Huda Gazi

TL;DR
This paper systematically analyzes the dynamical behavior of an ecological system with Beddington-DeAngelis functional response, focusing on stability, bifurcations, and the effects of parameters on species interactions.
Contribution
It provides a thorough mathematical analysis of the model's stability, bifurcations, and conditions for equilibrium, including explicit formulas and numerical validation.
Findings
System dynamics are highly sensitive to parameters and initial populations.
Conditions for Hopf bifurcation are identified.
Explicit formulas for stability and bifurcation properties are derived.
Abstract
The objective of this paper is to study the dynamical behaviour systematically of an ecological system with Beddington-DeAngelis functional response which avoids the criticism occurred in the case of ratio-dependent functional response at the low population density of both the species. The essential mathematical features of the present model have been analyzed thoroughly in terms of the local and the global stability and the bifurcations arising in some selected situations as well. The threshold values for some parameters indicating the feasibility and the stability conditions of some equilibria are also determined. We show that the dynamics outcome of the interaction among the species are much sensitive to the system parameters and initial population volume. The ranges of the significant parameters under which the system admits a Hopf bifurcation are investigated. The explicit formulae…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Evolution and Genetic Dynamics · Nonlinear Dynamics and Pattern Formation
