Evolution of dispersal in river networks.

IF 2 4区 数学 Q2 BIOLOGY
Olga Vasilyeva, Dylan Smith, Frithjof Lutscher
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引用次数: 0

Abstract

Evolution of dispersal is a fascinating topic at the intersection of ecology and evolutionary dynamics that has generated many challenging problems in the analysis of reaction-diffusion equations. Early results indicated that lower random diffusion rates are generally beneficial. However, in riverine environments with downstream drift, high diffusion may be optimal, depending on downstream boundary conditions. Most of these results were obtained from modeling a single river reach, yet many rivers form intricate tree-shaped networks. We study the evolution of dispersal on a metric graph representing the simplest such possible network: two upstream segments joining to form one downstream segment. We first show that the shape of the positive steady state of a single population depends crucially on the geometry of the network, here considered as the relative length of the three segments. We then study the evolution of dispersal by considering the possibility of "invasion" of a second type (invader) at the steady state of the first type (resident). We show that the geometry of the network determines whether higher or intermediate dispersal is favored.

河网散布的演变。
扩散进化是生态学与进化动力学交叉领域的一个引人入胜的课题,它在反应扩散方程分析中产生了许多具有挑战性的问题。早期的研究结果表明,较低的随机扩散率通常是有益的。然而,在有下游漂移的河流环境中,高扩散率可能是最佳的,这取决于下游的边界条件。这些结果大多是从单一河段的建模中获得的,然而许多河流都形成了错综复杂的树状网络。我们研究了代表最简单网络的度量图上的扩散演化:两个上游河段连接成一个下游河段。我们首先证明,单个种群的正稳定状态的形状在很大程度上取决于网络的几何形状,这里的几何形状是指三段网络的相对长度。然后,我们通过考虑在第一类种群(常住种群)的稳定状态下第二类种群(入侵者)"入侵 "的可能性来研究扩散的演变。我们的研究表明,网络的几何形状决定了是倾向于高级分散还是中级分散。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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