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9780521876353

Mapping Species Distributions: Spatial Inference and Prediction

by
  • ISBN13:

    9780521876353

  • ISBN10:

    0521876354

  • Format: Hardcover
  • Copyright: 2010-02-15
  • Publisher: Cambridge University Press
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Supplemental Materials

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Summary

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 summarises 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.

Table of Contents

History and Ecological Basis of Species' Distribution Modeling
Species distribution modeling
Why do we need species' distribution models?
Ecological understanding of species' distributions
The Data Needed for Modeling Species' Distributions
Data for species' distribution models: the biological data
Data for species' distribution models: the environmental data
An Overview of the Modeling Methods
Statistical models - modern regression
Machine learning methods
Classification, similarity and other methods for presence-only data
Model Evaluation and Implementation
Model evaluation
Implementation of species' distribution models
Table of Contents provided by Publisher. All Rights Reserved.

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