Miguel Bastos Araújo received the €30,000 Ebbe Nielsen Prize, awarded annually by the GBIF Science Committee, at the hosted dinner for the 20th GBIF Governing Board in Berlin, on 8 October 2013. In making the selection, the GBIF Science Committee recognized Araújo’s groundbreaking research in deploying biodiversity informatics to model and forecast environmental phenomena, specifically the effects of different climate change scenarios on regional and global biodiversity patterns. His presentation during the 2013 GBIF Science Symposium "Why do species occur where they do?", summarized current understanding of the determinants of species distributions with particular emphasis on the development of predictive models of biodiversity change, while proposing a research agenda for the forthcoming years that involves greater integration between otherwise disconnected disciplines in life sciences.+ More details
Dr Healy Hamilton, chief scientist of NatureServe, discusses how interdisciplinary and macro-ecological analyses of species distributions can identify current and future locations at potential risk of zoonotic viruses emerging as infectious diseases that threaten the health and welfare of human communities.+ More details
This is a short film that documents the first stage of an ambitious experiment in the Swiss Alps, on the Calanda mountain near Chur, in the canton of Graubünden. Ecologists from the ETH Zurich are investigating the effects of competition between alpine plant species under warmer climate conditions. They are monitoring plant communities in situ by moving turf samples from higher elevations to lower filed sites to simulate the projected change in climate over the next few decades. For further information on this and related projects, see: http://homepage.usys.ethz.ch/ajake/Jake_Alexander/Home.html http://homepage.usys.ethz.ch/diezj/Home.html+ More details
The sustainable management and meeting of societal needs from the green cover (biosphere) by applying and developing geo-information, earth observation and spatio-temporal analytical tools. The Department uses earth observation data and spatial information in combination with systems modeling, geo-information science (GIS) and remote sensing for the assessment, monitoring, planning and management of natural resources, for their sustainable use, development and restoration under global change.+ More details
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