Kaibab National Forest (N.F.), Jacob Ryan Vegetation Management
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Publisher :
Page : 140 pages
File Size : 45,75 MB
Release : 2006
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Author :
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Page : 140 pages
File Size : 45,75 MB
Release : 2006
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Publisher :
Page : 334 pages
File Size : 30,15 MB
Release : 2009
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Publisher :
Page : 606 pages
File Size : 39,72 MB
Release : 2005
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Publisher :
Page : 140 pages
File Size : 25,22 MB
Release : 1986
Category : Coronado National Forest (Ariz. and N.M.)
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Page : 208 pages
File Size : 10,84 MB
Release : 1988
Category : Forests and forestry
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Author :
Publisher : AASHTO
Page : 153 pages
File Size : 44,80 MB
Release : 2011
Category : Science
ISBN : 1560515007
"Publication code: GVM-1" -- P. [4] of cover.
Author : United States. Congress
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Page : 1196 pages
File Size : 48,1 MB
Release : 1997
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Publisher : DIANE Publishing
Page : 120 pages
File Size : 15,12 MB
Release : 2001
Category : Forest roads
ISBN : 1428961429
Author : United States. Forest Service. Pacific Southwest Region
Publisher :
Page : 112 pages
File Size : 30,45 MB
Release : 1985
Category : Environmental impact statements
ISBN :
Author : B.F. Manly
Publisher : Springer Science & Business Media
Page : 233 pages
File Size : 19,49 MB
Release : 2007-05-08
Category : Science
ISBN : 0306481510
We have written this book as a guide to the design and analysis of field studies of resource selection, concentrating primarily on statistical aspects of the comparison of the use and availability of resources of different types. Our intended audience is field ecologists in general and, in particular, wildlife and fisheries biologists who are attempting to measure the extent to which real animal populations are selective in their choice of food and habitat. As such, we have made no attempt to address those aspects of theoretical ecology that are concerned with how animals might choose their resources if they acted in an optimal manner. The book is based on the concept of a resource selection function (RSF), where this is a function of characteristics measured on resourceunits such that its value for a unit is proportional to the probability of that unit being used. We argue that this concept leads to a unified theory for the analysis and interpretation of data on resource selection and can replace many ad hoc statistical methods that have been used in the past.