Partners: Wildlife Conservation Society, University of California, Berkeley
This map application shows a snapshot of biodiversity data derived from species distribution models hosted on the REBIOMA data portal. This is a prototype of mapping and data interaction tools we are working to integrate on top of the data portal.
We model species distributions for three eras from public and private occurrence data uploaded by many individuals and partner institutions.
After validation and review of the occurrence data by teams of taxonomic experts, we use MaxEnt to model species distributions from the database, using forest cover and WorldClim climate data for 1950, 2000 and 2080 as predictors. For 2080, we assume that forest cover remains the same as it was mapped in 2000 (an optimistic scenario). We then apply a presence threshold to each model, and use the result to build the map of species richness and a species list for each era, shown here. Richness and species lists are calculated on a 5x5 km grid.
REBIOMA is a joint project Wildlife Conservation Society Madagascar, and the University of California Berkeley with support from the MacArthur Foundation and the JRS Biodiversity Foundation. For more information, please see the project page, data portal, and help pages.