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...