Metapopulation models with anti-symmetric Lotka-Volterra systems.

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2024-12-01 Epub Date: 2024-09-06 DOI:10.1080/17513758.2024.2397404
Anju Susan Anish, Bernard De Baets, Shodhan Rao
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Abstract

We consider different anti-symmetric Lotka-Volterra systems governing the pairwise interactions among the same n species inhabiting m spatially discrete habitat patches, with each patch having infinitely many equilibria. In the absence of inter-patch species migration, the species densities in each isolated patch evolve in periodic orbits. A central idea of this work is to design a control action to make the trajectories of the system asymptotically converge to a desired coexistence equilibrium among the infinitely many equilibrium points. We propose a scheme to simultaneously control different anti-symmetric Lotka-Volterra systems in multiple habitat patches by designing a metapopulation model. By introducing a suitable inter-patch migration of species, we prove that the trajectories of the resulting metapopulation model are effectively asymptotically converging to the desired coexistence equilibrium. The stability of the coexistence equilibrium is proved using Lyapunov methods coupled with LaSalle's invariance principle.

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具有反对称洛特卡-伏特拉系统的元模型。
我们考虑了不同的反对称洛特卡-伏特拉(Lotka-Volterra)系统,该系统支配着栖息在 m 个空间离散的生境斑块中的 n 个相同物种之间的成对相互作用,每个斑块有无限多个均衡点。在没有斑块间物种迁移的情况下,每个孤立斑块中的物种密度会以周期性轨道演化。这项工作的核心思想是设计一种控制行动,使系统的轨迹在无限多个平衡点中渐近收敛到一个理想的共存平衡点。我们提出了一种方案,通过设计一个元种群模型来同时控制多个栖息地斑块中不同的反对称洛特卡-伏特拉(Lotka-Volterra)系统。通过引入适当的物种斑块间迁移,我们证明了所得到的元种群模型的轨迹能有效地渐近收敛到所需的共存均衡。共存平衡的稳定性是利用李亚普诺夫方法和拉萨尔不变性原理来证明的。
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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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