| Contents Notes |
Species distribution modeling -- Why do we need species distribution models? -- Ecological understanding of species distributions -- Data for species distribution models : the biological data -- Data for species distribution models : the environmental data -- Statistical models : modern regression / Janet Franklin and Jennifer A. Miller -- Machine learning methods -- Classification, similarity and other methods for presence-only data -- Model evaluation -- Implementation of species distribution models. 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 summarizes the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and 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. |
