Evolution of Dispersal in Open Advective Patchy Environments

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2025-04-06 DOI:10.1111/sapm.70049
Qiang Li, Chen Cheng, Xiaoqian Feng, Peng Zhou
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Abstract

A Lotka–Volterra competitive patch model in advective homogeneous environments is investigated, where two species are supposed to differ only in their diffusion rates and the environment is assumed to be open so that there may be an inflow (resp. outflow) of individuals at the upstream (resp. downstream) patch. Under certain conditions on the inflow and outflow rates, a complete understanding on the global dynamics is obtained, which, biologically, suggests that in open patchy environments with mild inflow and outflow rates, faster diffusion can evolve, extending two existing results obtained by Chen et al. (Stud. Appl. Math., 149: 762-797, 2022) and (J. Nonlinear Sci., 33: Paper No. 40, 35 pp, 2023) to more general biological situations. Moreover, our main result does not depend on the size relation between the inflow and outflow rates, different from the corresponding space-continuous case treated recently by Wang et al. (SIAM J. Math. Anal., 56: 1643-1671, 2024).

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开放平流斑块环境中扩散的演化
本文研究了平流均匀环境中的Lotka-Volterra竞争斑块模型,该模型假设两个物种仅在扩散速率上存在差异,并且假设环境是开放的,因此可能有流入(如流)。流出)的个人在上游(如。下游)。在一定的流入和流出速率条件下,获得了对全球动力学的完整理解,这在生物学上表明,在流入和流出速率较小的开放斑块环境中,可以进化出更快的扩散,扩展了Chen等人(Stud.)的两个现有结果。达成。数学。[j] .中国科学:自然科学学报,2016,31(2):555 - 557。, 33: 40号论文,35页,2023)更一般的生物情况。此外,我们的主要结果不依赖于流入和流出速率之间的大小关系,这与最近Wang等人(SIAM J. Math)处理的相应空间连续情况不同。分析的。科学通报,56(6):1643-1671,2024)。
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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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