Coupled stochastic modelling of hierarchical channel network dynamics and metapopulation persistency - Dataset

Dynamic changes in the active portion of stream networks represent a phenomenon common to diverse climates and geologic settings. However, the ecological implications of river network expansions/retractions remain poorly understood owing to operational difficulties in mechanistically describing these processes at the relevant spatio-temporal scales. Here we present a novel Bayesian framework for the simulation of event-based channel network dynamics capitalizing on the concept of \"hierarchical structuring of temporary streams\" - a general principle to identify the activation/deactivation order of network nodes. The framework incorporates a dynamic version of a stochastic occupancy metapopulation model, and is used to analyze the impact of pulsing river networks on species persistence in different scenarios. Climate strongly controls temporal variations of the active length, influencing the preferential configuration of the active channels and the speed of network retraction during dryi...河网活跃区段的动态变化是多种气候与地质背景下普遍存在的自然现象。然而，由于难以在相关时空尺度下对该类过程进行机制性描述的实操困境，目前学界对河网扩张与收缩的生态学效应仍知之甚少。本研究提出一种全新的贝叶斯框架（Bayesian framework），用于模拟基于事件的河道网络动态，该框架依托“暂时性河流的层级结构”这一通用原则——该原则可用于识别河网节点的激活与失活顺序。该框架整合了随机占用集合种群模型（stochastic occupancy metapopulation model）的动态版本，可用于分析不同情景下脉动式河网对物种存续的影响。气候显著调控活跃河长的时序波动，进而影响活跃河道的优先配置形态，以及河网收缩过程在干旱阶段的速率……