Mapping Species Distributions: Spatial Inference and Prediction (Ecology, Biodiversity and Conservation) - Softcover

Franklin, Janet

Softcover

ISBN 10: 0521700027 ISBN 13: 9780521700023

Publisher: Cambridge University Press, 2010

Synopsis

A comprehensive summary of species distribution modeling methods integrating ecological and statistical models with spatial data, and a framework for implementation.

About this title

About the Author

Janet Franklin has been a Professor of Biology and Adjunct Professor of Geography at San Diego State University, where she was on the faculty from 1988–2009. In 2009 she joined the faculty of Arizona State University as a Professor in the Schools of Geographical Sciences and Life Sciences. She received the Bachelors' degree on Environmental Biology (1979), the Master of Arts (1983), and the PhD (1988) in Geography, all from the University of California, Santa Barbara. Her research interests include biogeography, landscape ecology, plant ecology, biophysical remote sensing, digital terrain analysis, and geographic information science. She has conducted research on plant community composition, structure, dynamics and spatio-temporal patterns in Mediterranean-climate ecosystems, deserts, tropical dry forests and rain forests. She was the Editor of The Professional Geographer (1997–2000) Board Member of Landscape Ecology (2000–5), and Associate Editor of Journal of Vegetation Science (1999–2006). She is currently a Board Member of Ecology and Diversity and Distributions. She has published more than 80 refereed book chapters and papers in journals Ecological Applications, Ecological Modelling, the Journal of Vegetation Science, Ecology, Diversity and Distributions, the Journal of Tropical Ecology and Conservation Biology. She has received research support from NSF, NASA, USGS, Forest Service, California State Parks, National Geographic Society, and others.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2010
• Language: English
• ISBN 10: 0521700027
• ISBN 13: 9780521700023
• Binding: Paperback
• Number of pages: 340