Species distribution modeling and remote sensing
Coordinator: Davnah Payne
GMBA SSC members: N. Yoccoz, W. Jetz
Understanding the past and present distribution of species is important for many applications, including predictions of future biodiversity patters and the development of sustainable management and conservation strategies. Species occurrence is commonly obtained from field data (e.g., collections, surveys, checklists, expert range maps) and increasingly provided by remote sensing. Species distribution models (SDMs) in turn relate occurrence data to spatial variables (e.g., climate, topography, land use).
Incorporating spatial information in SDMs raises a number of methodological issues. These issues are associated with the type of spatial variable (e.g., climate, topography, land use), their quality and associated error and uncertainties, their typical process length, and their context of use; with the quality and spatio-temporal resolution of the species data; and with the context in which SDMs are applied. These challenges remain to be fully explored.
Informing Species Distribution Models and Essential Biodiversity Variables using Remote Sensing
University of Zurich (Irchel Campus), Switzerland, 05-09.02.2018