Evolution of Dispersal in a Stream With Better Resources at Downstream Locations

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2025-02-07 DOI:10.1111/sapm.70017
Kuiyue Liu,  De Tang, Shanshan Chen
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Abstract

This paper is concerned with a two-species Lotka–Volterra competition patch model over a stream with better resources at downstream locations. Treating one species as the resident species and the other one as a mutant species, we first show that there exist two quantities d ¯ $\overline{d}$ and d ̲ $\underline{d}$ depending on the drift rate: if the dispersal rate of the resident species is smaller (respectively, larger) than d ̲ $\underline{d}$ (respectively, d ¯ $\overline{d}$ ), then a rare mutant species can invade only when its dispersal rate is faster (respectively, slower) than the resident species. Then, we show that there exists some intermediate dispersal rate, which is the unique evolutionarily stable strategy for the resident species under certain conditions. Moreover, the global dynamics of the model is obtained, and both competition exclusion and coexistence can occur. Our method for the patch model can be used for the corresponding reaction–diffusion model, and some existing results are improved.

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本文研究的是一个双物种洛特卡-伏特拉竞争斑块模型,该模型涉及一条下游资源较好的河流。将其中一个物种视为常驻物种,另一个物种视为突变物种,我们首先证明存在两个量 d ¯ $\overline{d}$ 和 d ̲ $\underline{d}$ ,它们取决于漂移率:如果常住物种的扩散速率小于(分别大于)d ̲ $\underline{d}$(分别为 d ¯ $\overline{d}$ ),那么稀有突变物种只有在其扩散速率快于(分别慢于)常住物种时才能入侵。然后,我们证明存在某种中间扩散率,它是驻留物种在特定条件下的唯一进化稳定策略。此外,我们还得到了该模型的全局动态,竞争排斥和共存都可能发生。我们针对斑块模型的方法可用于相应的反应扩散模型,并改进了一些现有结果。
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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