A predictive model showing environmental suitability for the spectacled bear in South America based on occurrence locations from GBIF.
鈥,鈥 a biodiversity web application created by a team led by City College of New York biologists and , is one of six finalists selected worldwide by the Global Biodiversity Information Facility (GBIF) in the inaugural. The first and second-place winners will be announced at the GBIF Governing Board meeting in Madagascar this October.
鈥淭he creativity and ambition displayed by the finalists is inspiring,鈥 said Roderic Page, chair of the Challenge jury and the GBIF Science Committee. 鈥淢y biggest hope for the Challenge was that the biodiversity community would respond with innovative鈥攅ven unexpected鈥攅ntries. My expectations have been exceeded.鈥
鈥淲ALLACE鈥 allows users to download data from the GBIF network and predict the areas environmentally suitable for a species. It harnesses two tools developed by Anderson鈥檚 lab, helping users generate high-quality predictive models and map the results.
According to Anderson, such models have applications for the study of invasive species, diseases, conservation, and the effects of climate change. In addition, the software is accessible to the general public as well.
Kass, a second-year Ph.D. student mentored by Anderson, was the lead developer of 鈥淲ALLACE鈥 (named in honor of Alfred Russel Wallace, the co-discoverer of evolution by natural selection and the founder of the field of biogeography). Postdoctoral researchers Matthew Aiello-Lammens (University of Connecticut) and Robert Muscarella (Aarhus University, Denmark), as well as Ph.D. student Bruno Vilela (Universidad de Alcal谩, Spain) were the other members of the team.
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