Improving GIS-based Wildlife-Habitat Analysis

Improving GIS-based Wildlife-Habitat Analysis

Geographic Information Systems (GIS) provide a powerful tool for the investigation of species-habitat relationships and the development of wildlife management and conservation programs. However, the relative ease of data manipulation and analysis using GIS, associated landscape metrics packages, and...

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Bibliographic Details
Published in:Springer eBooks
Main Authors: Keller, Jeffrey K. (Author), Smith, Charles R. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Series:SpringerBriefs in Ecology,
Subjects:
Life Sciences.
Remote sensing.
Geographical information systems.
Endangered ecosystems.
Conservation biology.
Nature Conservation.
Conservation Biology/Ecology.
Geographical Information Systems/Cartography.
Ecosystems.
Animal Systematics/Taxonomy/Biogeography.
Remote Sensing/Photogrammetry.
Online Access:http://dx.doi.org/10.1007/978-3-319-09608-7
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Table of Contents:
  • Chapter 1. Working Definitions
  • Chapter 2. Image Resolution vs. Habitat Selection Scale in a Remote Sensing Context
  • Chapter 3. Explanatory Variables
  • Chapter 4. Landscape Sampling Area vs. Actual Location of Taxonomic Survey
  • Chapter 5. Refining Habitat Specificity
  • Chapter 6. Example Using High-resolution Imagery and Taxon-specific Variables.

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