Improving GIS-based Wildlife-Habitat Analysis

Nonfiction, Science & Nature, Science, Earth Sciences, Geography, Nature, Environment, Environmental Conservation & Protection
Cover of the book Improving GIS-based Wildlife-Habitat Analysis by Jeffrey K. Keller, Charles R. Smith, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jeffrey K. Keller, Charles R. Smith ISBN: 9783319096087
Publisher: Springer International Publishing Publication: October 1, 2014
Imprint: Springer Language: English
Author: Jeffrey K. Keller, Charles R. Smith
ISBN: 9783319096087
Publisher: Springer International Publishing
Publication: October 1, 2014
Imprint: Springer
Language: English

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. This volume 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. This volume 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.

More books from Springer International Publishing

Cover of the book Artificial Neural Networks and Machine Learning – ICANN 2017 by Jeffrey K. Keller, Charles R. Smith
Cover of the book Data Privacy Management, Cryptocurrencies and Blockchain Technology by Jeffrey K. Keller, Charles R. Smith
Cover of the book Colonial Theories of Institutional Development by Jeffrey K. Keller, Charles R. Smith
Cover of the book Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing by Jeffrey K. Keller, Charles R. Smith
Cover of the book An Economic History of Development in sub-Saharan Africa by Jeffrey K. Keller, Charles R. Smith
Cover of the book The Social and Human Sciences in Global Power Relations by Jeffrey K. Keller, Charles R. Smith
Cover of the book Trends in Social Network Analysis by Jeffrey K. Keller, Charles R. Smith
Cover of the book Operations Research Proceedings 2014 by Jeffrey K. Keller, Charles R. Smith
Cover of the book Grate-Fired Energy Crop Conversion by Jeffrey K. Keller, Charles R. Smith
Cover of the book Theory and Practice of Model Transformation by Jeffrey K. Keller, Charles R. Smith
Cover of the book Organizational Behaviour and Human Resource Management by Jeffrey K. Keller, Charles R. Smith
Cover of the book Accelerated Path to Cures by Jeffrey K. Keller, Charles R. Smith
Cover of the book Logical Studies of Paraconsistent Reasoning in Science and Mathematics by Jeffrey K. Keller, Charles R. Smith
Cover of the book Nonlinear Dynamical Systems with Self-Excited and Hidden Attractors by Jeffrey K. Keller, Charles R. Smith
Cover of the book Personalized Medicine by Jeffrey K. Keller, Charles R. Smith
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy