NDLI: Quantifying patch distribution at multiple spatial scales: applications to wildlife-habitat models

Content Provider	Springer Nature Link
Author	Johnson, Chris J. Boyce, Mark S. Mulders, Robert Gunn, Anne Gau, Rob J. Cluff, H. Dean Case, Ray L.
Copyright Year	2004
Abstract	Multiscale analyses are widely employed for wildlife-habitat studies. In most cases, however, each scale is considered discrete and little emphasis is placed on incorporating or measuring the responses of wildlife to resources across multiple scales. We modeled the responses of three Arctic wildlife species to vegetative resources distributed at two spatial scales: patches and collections of patches aggregated across a regional area. We defined a patch as a single or homogeneous collection of pixels representing 1 of 10 unique vegetation types. We employed a spatial pattern technique, three-term local quadrat variance, to quantify the distribution of patches at a larger regional scale. We used the distance at which the variance for each of 10 vegetation types peaked to define a moving window for calculating the density of patches. When measures of vegetation patch and density were applied to resource selection functions, the most parsimonious models for wolves and grizzly bears included covariates recorded at both scales. Seasonal resource selection by caribou was best described using a model consisting of only regional scale covariates. Our results suggest that for some species and environments simple patch-scale models may not capture the full range of spatial variation in resources to which wildlife may respond. For mobile animals that range across heterogeneous areas we recommend selection models that integrate resources occurring at a number of spatial scales. Patch density is a simple technique for representing such higher-order spatial patterns.
Starting Page	869
Ending Page	882
Page Count	14
File Format	PDF
ISSN	09212973
Journal	Landscape Ecology
Volume Number	19
Issue Number	8
e-ISSN	15729761
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Ecology Plant Ecology Forestry Forestry Management Landscape Ecology Plant Sciences
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Ecology Nature and Landscape Conservation

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