Projects tagged #REBIOMA

  1. REBIOMA maps


    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.

    The is a simple application written in Rails, html and javascript, with a CartoDB hosted spatial table, backed by a postgres database on Heroku. The code is available on GitHub.

    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.

    Tags: biodiversity informatics, Madagascar, REBIOMA, web mapping

    Posted almost 8 years ago.
  2. REBIOMA data portal


    Partners: Wildlife Conservation Society, University of California, Berkeley

    The mission of the REBIOMA web portal is to serve quality-labeled, up-to-date species occurrence data and environmental niche models for Madagascar’s flora and fauna, both marine and terrestrial. REBIOMA is a project of WCS-Madagascar and UC Berkeley. The REBIOMA Data Portal address is

    REBIOMA serves species occurrence data for marine and terrestrial regions of Madagascar. Following data upload, data is automatically validated against a geographic mask and a taxonomic authority. At upload, data providers can decide whether their data will be public, private, or shared only with selected collaborators. Data reviewers can add quality labels to individual data records, allowing selection of data for modeling and conservation assessments according to quality. Data users can query data in numerous ways (see simple and advanced search). REBIOMA also produces and serves environmental niche models for current and future climate scenarios for terrestrial and marine species.

    Tags: biodiversity informatics, Madagascar, data portal, biodiversity, REBIOMA

    Posted almost 8 years ago.