The delayed reaction-diffusion Filippov system with threshold control: Modeling and analysis of plateau pika-vegetation dynamics

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
Jianping Lv , Jing Li
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引用次数: 0

Abstract

Plateau pika (Ochotona curzoniae) plays dual ecological roles: enhancing biodiversity at moderate population densities, but driving severe grassland degradation during population outbreaks. To capture these phenomena, we develop delayed reaction-diffusion Filippov systems incorporating Holling-III functional response, maturation time delays, prey-taxis behavior, and threshold-based control strategies. Two types of threshold controls are considered: a single-threshold model, where intervention is triggered only when vegetation density drops below a threshold T; and a dual-threshold model, which introduces an additional pika density threshold HT to enable preventive control. We establish the well-posedness of solutions, analyze equilibrium stability and Hopf bifurcations, and characterize sliding mode dynamics via Filippov’s convex method, thereby identifying pseudoequilibria and their stability conditions. Numerical simulations demonstrate that the dual-threshold strategy substantially outperforms the single-threshold approach by preventing extreme pika aggregation, maintaining more uniform vegetation distribution, and reducing grassland degradation. This dual-threshold mechanism highlights a paradigm shift from reactive to proactive ecological management. Our findings provide theoretical support for sustainable grassland management on the Tibetan Plateau.
具有阈值控制的延迟反应-扩散Filippov系统:高原鼠兔-植被动态的建模与分析
高原鼠兔(Ochotona curzoniae)具有双重生态作用:在中等种群密度时增强生物多样性,但在种群爆发时导致严重的草地退化。为了捕捉这些现象,我们开发了包含Holling-III功能响应、成熟时滞、猎物趋向性行为和基于阈值的控制策略的延迟反应扩散Filippov系统。考虑了两种类型的阈值控制:单阈值模型,只有当植被密度低于阈值T时才触发干预;以及双阈值模型,该模型引入了额外的鼠兔密度阈值HT,以实现预防性控制。我们建立了解的适定性,分析了平衡稳定性和Hopf分岔,并通过Filippov的凸方法表征了滑模动力学,从而确定了伪平衡点及其稳定性条件。数值模拟结果表明,双阈值策略在防止鼠兔极端聚集、保持植被分布更均匀和减少草地退化方面明显优于单阈值策略。这种双阈值机制强调了从被动到主动生态管理的范式转变。
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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