Improving GIS-based Wildlife-Habitat Analysis

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

SpringerBriefs in Ecology

ISBN: 3319096079
ISBN 13: 9783319096070
Autor: Keller, Jeffrey K/Smith, Charles R
Verlag: Springer Verlag GmbH
Umfang: xiii, 132 S., 8 s/w Illustr., 6 farbige Illustr., 132 p. 14 illus., 6 illus. in color.
Erscheinungsdatum: 10.10.2014
Auflage: 1/2014
Format: 0.8 x 23.5 x 15.5
Gewicht: 238 g
Produktform: Kartoniert
Einband: KT

Reviews the weaknesses of current GIS-based ecological modeling approaches and offers specific recommendations on how to improve modelsIntroduces and demonstrates several novel covariates that significantly improve the explanatory and predictive power of species-habitat models over those currently publishedOffers a detailed review of the history and current state of the fieldIncludes supplementary material: sn.pub/extras

Artikelnummer: 6942228 Kategorie:

Beschreibung

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.

Autorenporträt

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.

Das könnte Ihnen auch gefallen …