Global stability of the boundary solution of a nonautonomous predator-prey system with Beddington-DeAngelis functional response.

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2020-12-01 DOI:10.1080/17513758.2020.1772999
Dingyong Bai, Jinshui Li, Wenrui Zeng
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引用次数: 9

Abstract

In this paper, we consider a nonautonomous predator-prey system with Beddington-DeAngelis functional response and explore the global stability of boundary solution. Based on the dynamics of logistic equation, some new sufficient conditions on the global asymptotic stability of boundary solution are presented for general time-dependence case. Our main results indicate that (i) the long-term ineffective predation behaviour or high mortality of predator species will lead the predator species to extinction, even if the intraspecies competition of predator species is weak or no intraspecies competition; (ii) the long-term intense intraspecific competition may lead the predator species to extinction, even though the long-term accumulative predation benefit is higher than the death lose. When all parameters are periodic functions with common period, a necessary and sufficient condition on the global stability of boundary periodic solution is obtained. In addition, some numerical simulations are performed to illustrate the theoretical results.

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具有Beddington-DeAngelis泛函响应的非自治捕食-食饵系统边界解的全局稳定性。
考虑一类具有Beddington-DeAngelis泛函响应的非自治捕食-食饵系统,研究其边界解的全局稳定性。基于logistic方程的动力学性质,给出了一般时变情况下边界解全局渐近稳定的几个新的充分条件。研究结果表明:(1)在种内竞争较弱或不存在种内竞争的情况下,长期无效的捕食行为或高死亡率将导致捕食物种的灭绝;(ii)长期激烈的种内竞争可能导致捕食者物种灭绝,即使长期累积的捕食收益高于死亡损失。当所有参数都是共周期的周期函数时,得到了边界周期解全局稳定的充分必要条件。此外,通过数值模拟对理论结果进行了验证。
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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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