In this paper, we propose a vegetation-water coupled system that explicitly incorporates saturated water absorption and an intraspecific competition term. We first establish the global stability of the boundary equilibrium, then analyze the stability and Turing instability of the positive equilibria, demonstrating that the equilibrium with low vegetation density is consistently unstable, while the other positive equilibrium exhibits Turing instability when the vegetation diffusion coefficient is sufficiently small or the water diffusion coefficient is sufficiently large. We derive a priori estimates for nonnegative steady-state solutions via the maximum principle, conduct a detailed qualitative analysis of steady-state bifurcations at simple and double eigenvalues, and establish criteria for the bifurcation direction. Finally, through numerical simulations, we present the dynamical behaviors near the bifurcation points and simulate the evolution of vegetation patterns under different parameter settings, and find that as the water diffusion coefficient
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Open Access
Research Article
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Open Access
Research Article
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A good pulse control strategy should depend on the numbers of pests and natural enemies as determined via an integrated pest control strategy. Taking this into consideration, here, a nonlinear impulsive predator-prey model with improved Leslie-Gower and Beddington-DeAngelis functional response terms is qualitatively analyzed. The existence of a periodic solution for pest eradication has been obtained and the critical condition of global asymptotic stability has been established by using the impulsive differential equation Floquet theory. Furthermore, the conditions for the lasting survival of the system has been proved by applying a comparison theorem for differential equations. Additionally, a stable positive periodic solution has been obtained by applying bifurcation theory. To understand how nonlinear pulses affect the dynamic behavior of a system, MATLAB was used to conduct numerical simulations to show that the model has very complex dynamical behavior.
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