The effects of evolution on the stability of competing species.

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2022-12-01 DOI:10.1080/17513758.2022.2154860
S Elaydi, Y Kang, R Luís
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引用次数: 4

Abstract

Based on evolutionary game theory and Darwinian evolution, we propose and study discrete-time competition models of two species where at least one species has an evolving trait that affects their intra-specific, but not their inter-specific competition coefficients. By using perturbation theory, and the theory of the limiting equations of non-autonomous discrete dynamical systems, we obtain global stability results. Our theoretical results indicate that evolution may promote and/or suppress the stability of the coexistence equilibrium depending on the environment. This relies crucially on the speed of evolution and on how the intra-specific competition coefficient depends on the evolving trait. In general, equilibrium destabilization occurs when α>2, when the speed of evolution is sufficiently slow. In this case, we conclude that evolution selects against complex dynamics. However, when evolution proceeds at a faster pace, destabilization can occur when α<2. In this case, if the competition coefficient is highly sensitive to changes in the trait v, destabilization and complex dynamics occur. Moreover, destabilization may lead to either a period-doubling bifurcation, as in the non-evolutionary Ricker equation, or to a Neimark-Sacker bifurcation.

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进化对竞争物种稳定性的影响。
基于进化博弈论和达尔文进化论,我们提出并研究了两个物种的离散时间竞争模型,其中至少一个物种具有影响其种内竞争系数而不影响其种间竞争系数的进化特征。利用摄动理论和非自治离散动力系统的极限方程理论,得到了系统的全局稳定性结果。我们的理论结果表明,进化可以促进和/或抑制共存平衡的稳定性,这取决于环境。这主要取决于进化的速度,以及种内竞争系数如何取决于进化特征。一般来说,平衡不稳定发生在α>2,演化速度足够慢的时候。在这种情况下,我们得出结论,进化选择了复杂的动力学。然而,当进化以更快的速度进行时,α2。在这种情况下,如果竞争系数对性状v的变化高度敏感,就会出现不稳定和复杂的动态。此外,不稳定可能导致周期加倍分岔,如在非进化的Ricker方程中,或neimmark - sacker分岔。
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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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