Data Mining for Global Trends in Mountain Biodiversity
Thanks to advances in electronic archiving of biodiversity data and the digitization of climate and other geophysical data, a new era in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva M. Spehn, and a team of experts from the Global Mountain Biodiversity Assessment of DIVERSITAS explore two of the hottest subjects in science and technology: biodiversity and data mining. They demonstrate how to harness the scientific power of biological databases for furthering ecological and evolutionary theory.
Electronic databases can open new pathways for testing evolutionary and ecological theory across the world’s mountain ranges. The new GMBA book examines global trends in mountain biodiversity using electronic biodiversity databases. GMBA experts provide examples of successful mining of geo-referenced data, methodological approaches, and comparisons of mountain regions on a continental scale.