Understanding the impacts of global change on organisms and ecosystems requires data and models that represent ecologically-relevant conditions. Here we will provide a hands-on coding workshop to understand microclimate data, and use R packages (e.g. NicheMapR, microclimf, TrenchR) to mechanistically predict microclimate anywhere on the terrestrial planet. This will include retrieving remote sensing data to [...]
Understanding the mechanisms underlying the distribution of biodiversity lies at the core of macroecology and biogeography. To more accurately characterize how organisms experience and interact with their environment, biogeographers can now integrate microclimate models and biophysical models with Species Distribution Models (SDM). This workshop will present software for microclimate and biophysical modeling by working [...]
Understanding paleoclimatic variations is crucial for deciphering the historical shifts in global ecosystems, which have shaped today's biodiversity. The Temporal Altitudinal Biogeographical Shifts (TABS) R package is a powerful tool designed to model these shifts, providing spatially detailed reconstructions over continuous time series. This workshop aims to equip participants with the knowledge and skills [...]
Species distribution models (SDMs) are widely used as a tool for understanding species spatial ecology. They link species occurrence or abundance with environmental features of the location, via statistical modelling. According to ecological niche theory, species response curves are unimodal with respect to environmental gradients. A general problem with most habitat modelling approaches is [...]