Stan code from: Branching networks can have opposing influences on genetic variation in riverine metapopulations

Aim: Fractal networks, represented by branching complexity in rivers, are ubiquitous in nature. In rivers, the number of either distal (e.g., in headwater streams) or confluent (e.g., in mainstems) locations can be increased along with their branching complexity. Distal- or confluent-spatial locations can result in fewer or greater corridor linkages that can alter genetic divergence at the metapopulation scale. These mechanisms underlying the resulting genetic structuring remain poorly understood at the metapopulation scale, particularly in terms of the roles of species-specific dispersal traits. The objective of this study is to mechanistically understand how branching complexity can simultaneously influence genetic divergence in opposite directions. Location: Northeastern Japan Methods: To evaluate the integrated influences of network complexity and species dispersal on genetic divergence among populations at the catchment scale, we modelled metapopulation genetic dynamics under a Bay...研究目标：以河流分支复杂度为表征的分形网络（fractal networks）在自然界中广泛存在。在河流系统中，随着分支复杂度提升，远端（例如源头溪流）或汇流（例如干流）位点的数量均可增加。空间上的远端或汇流位点可形成数量更少或更多的廊道连接，进而改变集合种群（metapopulation）尺度下的遗传分化（genetic divergence）。目前，该遗传结构形成背后的相关机制在集合种群尺度下仍未得到充分阐释，尤其是针对物种特异性扩散性状所发挥的作用。本研究旨在从机制层面阐明分支复杂度如何以相反方向同时对遗传分化产生影响。 研究区域：日本东北部 研究方法：为评估集水区尺度（catchment scale）下种群间遗传分化所受网络复杂度与物种扩散的综合影响，我们基于贝叶斯框架构建了集合种群遗传动力学模型，under a Bay...