离散/连续时间资源竞争模型及其意义。

IF 1.8 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2021-05-01 Epub Date: 2020-12-21 DOI:10.1080/17513758.2020.1862927
Glenn Ledder, Richard Rebarber, Terrance Pendleton, Amanda N Laubmeier, Jonathan Weisbrod
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引用次数: 1

摘要

我们使用一个混合时间模型来研究一个由两个消费者组成的系统的动力学,这两个消费者只在每年的出生脉冲中繁殖,可能在不同的时间,相互作用仅限于对持续繁殖的资源的竞争。生态理论预测竞争排斥;在大多数情况下,这一期望都是满足的,胜利者是拥有更大“功率”的物种,定义为固定点的平均消费水平。较强竞争者固定点的不稳定性会略微削弱其统治地位,因此固定点不稳定的常驻物种有时会被稍弱的物种入侵,最终导致共存。不同的出生脉冲时间会导致不同的长期共存行为,包括不同长度的周期或混沌。我们还确定在何种条件下,毒素每年的脉冲时间可以改变力量的平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A discrete/continuous time resource competition model and its implications.

We use a mixed time model to study the dynamics of a system consisting of two consumers that reproduce only in annual birth pulses, possibly at different times, with interaction limited to competition for a resource that reproduces continuously. Ecological theory predicts competitive exclusion; this expectation is met under most circumstances, the winner being the species with the greater 'power', defined as the time average consumer level at the fixed point. Instability of that fixed point for the stronger competitor slightly weakens its domination, so that a resident species with an unstable fixed point can sometimes be invaded by a slightly weaker species, leading ultimately to coexistence. Differences in birth pulse times can lead to qualitatively different long-term coexistence behaviour, including cycles of different lengths or chaos. We also determine conditions under which the timing of an annual pulse of a toxin can change the balance of power.

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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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