Books  Ecological & Biological Sciences  Data Analysis & Modelling  Cartography, Remote Sensing, Image Analysis & GIS 

Improving GIS-based Wildlife-Habitat Analysis

Series: SpringerBriefs in Ecology

By: Jeffrey K Keller(Author), Charles R Smith(Author)

132 pages, 6 colour & 8 b/w illustrations, 10 tables


Paperback | Oct 2014 | #217470 | ISBN-13: 9783319096070
Availability: In stock
NHBS Price: £49.99 $65/€57 approx

About this book

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 sophisticated statistical tests may sometimes cause investigators to overlook important species-habitat functional relationships. Additionally, underlying assumptions of the study design or technology may have unrecognized consequences.

Improving GIS-based Wildlife-Habitat Analysis examines how initial researcher choices of image resolution, scale(s) of analysis, response and explanatory variables, and location and area of samples can influence analysis results, interpretation, predictive capability, and study-derived management prescriptions. Overall, most studies in this realm employ relatively low resolution imagery that allows neither identification nor accurate classification of habitat components. Additionally, the landscape metrics typically employed do not adequately quantify component spatial arrangement associated with species occupation. To address this latter issue, the authors introduce two novel landscape metrics that measure the functional size and location in the landscape of taxon-specific 'solid' and 'edge' habitat types.

Keller and Smith conclude that investigators conducting GIS-based analyses of species-habitat relationships should more carefully 1) match the resolution of remotely sensed imagery to the scale of habitat functional relationships of the focal taxon, 2) identify attributes (explanatory variables) of habitat architecture, size, configuration, quality, and context that reflect the way the focal taxon uses the subset of the landscape it occupies, and 3) match the location and scale of habitat samples, whether GIS- or ground-based, to corresponding species' detection locations and scales of habitat use.


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

Write a review

There are currently no reviews for this book. Be the first to review this book!


Jeffrey K. Keller is a professional restoration ecologist.

Charles R. Smith is a senior research associate with Cornell's Department of Natural Resources. He also holds an adjunct associate professorship in the graduate program in biodiversity, conservation, and policy in the Department of Biological Sciences at the State University of New York at Albany.

Bestsellers in this subject

Remote Sensing and GIS for Ecologists

NHBS Price: £34.99 $46/€40 approx

Mastering ArcGIS

NHBS Price: £115.99 $152/€132 approx

Introductory Digital Image Processing

NHBS Price: £108.99 $142/€124 approx

Introduction to Remote Sensing

NHBS Price: £88.99 $116/€101 approx

Advances in Remote Sensing and GIS Analysis

NHBS Price: £196.00 $256/€222 approx

VAT: GB 407 4846 44
NHBS Ltd is registered in England and Wales: 1875194