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 [...]
sdm is a comprehensive modelling and simulation framework that enables fitting of individual and community-based species distribution models, while supporting markedly different modelling methods including correlative, process-based (mechanistic), agent-based, and cellular automata. It generates ensembles of models, and several options for evaluation of model results and projection of species potential distributions in space and [...]
Bayesian Additive Regression Trees (BART) are a powerful machine learning technique with very promising applications in ecology and biogeography in general, and in species distribution modelling (SDM) in particular. BART can produce highly accurate predictions without overfitting to noise or to particular cases in the data. Notably, unlike most SDM methods, BART generally shows [...]
Biodiversity data publishing is critical for several reasons, ranging from scientific research and conservation to policy-making and education. Darwin Core, a standardized framework for sharing biodiversity information, plays a crucial role in facilitating the effective use of biodiversity data. We this approach we are responding to WALLACEAN SHORTFALL - The Wallacean shortfall is named [...]
Join us on Wednesday, July 31, at 4 pm UTC for the Funk Lecture given by Dolors Armenteras Pascual. Talk Title: "Biogeographic Perspectives on Amazon Forest Degradation" Dolors Armenteras is a Full Professor of Landscape Ecology at the Universidad Nacional de Colombia in Bogotá. Initially trained as a biologist at the University of [...]
