Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4379098 | Ecological Modelling | 2006 | 7 Pages |
Abstract
Lifemapper (http://www.lifemapper.org) is a predictive electronic atlas of the Earth's biological biodiversity. Using a screensaver version of the GARP genetic algorithm for modelling species distributions, Lifemapper harnesses vast computing resources through volunteers PCs similar to SETI@home, to develop models of the distribution of the world's fauna and flora. The Lifemapper project's primary goal is to provide an up-to-date and comprehensive database of species maps and predictive models (i.e. a fauna and flora of the world) using available data on species' locations. The models are developed using specimen data from distributed museum collections and an archive of geospatial environmental correlates. A central server maintains a dynamic archive of species maps and models for research, outreach to the general community and feedback to museum data providers. This paper is a case study in the role, use and justification of a genetic algorithm in development of large-scale environmental informatics infrastructure.
Related Topics
Life Sciences
Agricultural and Biological Sciences
Ecology, Evolution, Behavior and Systematics
Authors
David R.B. Stockwell, James H. Beach, Aimee Stewart, Gregory Vorontsov, David Vieglais, Ricardo Scachetti Pereira,