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Dynamical Analysis of a Beddington–DeAngelis Interacting Species System with Prey Harvesting

Lakshmi Narayan Guin, Reeta Murmu, Hunki Baek, Kyoung-Hwan Kim

2020Mathematical Problems in Engineering14 citationsDOIOpen Access PDF

Abstract

A reaction–diffusion interacting species system with Beddington–DeAngelis functional response that has been proposed in the environment of mathematical ecology, which provides the rise to spatial pattern formation, is investigated and associated with the models of deterministic dynamics. The dynamical behaviour of a generalist predator–prey system with linear harvesting of each species and predator-dependent functional response is fully analyzed. Conditions of stability behaviour of the interior equilibrium point are established properly. Furthermore, we have recognized that the unique positive equilibrium point of the system is globally stable via appropriate Lyapunov function structure, which signifies that appropriate harvesting has no impact on the persistence property of the harvesting system. Also, we establish the conditions for the existence of bifurcation phenomena including a saddle-node bifurcation and a Hopf bifurcation. Subsequently, complete analysis regarding the impact of harvesting is carried out, and an interesting decision is that under some appropriate constraints, harvesting has immense impact on the final size of the interacting species. In addition, in accordance with Turing’s ideas on morphogenesis , our analysis shows that harvesting effort in a reaction–diffusion predator–prey system plays a vital function for geological conservation of interacting species. Finally, we discuss sufficient conditions for the existence of bionomic equilibrium point and the optimal harvesting policy attained by using the Pontryagin maximal principle.

Topics & Concepts

Equilibrium pointMathematicsLyapunov functionMaximum principleBifurcationStability (learning theory)Hopf bifurcationSaddle pointApplied mathematicsControl theory (sociology)Mathematical optimizationComputer scienceMathematical analysisNonlinear systemOptimal controlDifferential equationPhysicsControl (management)Artificial intelligenceMachine learningGeometryQuantum mechanicsMathematical and Theoretical Epidemiology and Ecology ModelsEvolution and Genetic DynamicsNonlinear Dynamics and Pattern Formation