The Dataset and Code: Navigating the biogeography of wide-spread short-forests in global drylands.zip

We utilized global remote sensing data on canopy height in dryland forests and applied clustering methods to distinguish between short and tall forests. Our study identified the widespread distribution and key determinants of short-forests across global drylands, and projected their future distribution under various SSP scenarios. The results collectively underscore the extensive presence of short-forests and their likely expansion under future climate conditions, highlighting the critical challenges dryland forest ecosystems face in terms of carbon sequestration under a changing climate.The dataset and code contain the following:Identification of short-forests and tall-forestsDistribution thresholds for dryland short-forestsDistribution thresholds for dryland short-forestsAssessing the impact of current forest canopy height