Janet Franklin has been a Professor of Biology and adjunct Professor of Geography at San Diego State University, where she was on 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. Her research interests include : biogeography, landscape ecology, plant ecology, biophysical remote sensing, digital terrain analysis, and geographic information science.
Mapping Species Distributions. Spatial Inference and Prediction
Par :Formats :
- Nombre de pages320
- FormatGrand Format
- PrésentationBroché
- Poids0.51 kg
- Dimensions15,0 cm × 23,0 cm × 2,0 cm
- ISBN978-0-521-70002-3
- EAN9780521700023
- Date de parution27/11/2015
- CollectionEcology, Biodiversity and Cons
- ÉditeurCambridge University Press
- ContributeurJennifer A. Miller
Résumé
Maps of species distributions or habitat suitability are required for many aspects of environmental research, resource management, and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans, and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers, and conservation planners alike.
Franklin presents a summary of these methods, along with a framework for prediction of species distributions based on the attributes (space, time, scale) of the data and the questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and to statistical models used for spatial prediction, providing practical guidelines to students, researchers, and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.
Franklin presents a summary of these methods, along with a framework for prediction of species distributions based on the attributes (space, time, scale) of the data and the questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and to statistical models used for spatial prediction, providing practical guidelines to students, researchers, and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.