Heterogeneity and spatial scale in nesting habitat selection by sharp-tailed grouse in Nebraska / Bart L. Prose.
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TextPublication details: Fort Collins, CO : Colorado State University, 1992.Description: viii, 72 leaves : ill. , map ; 28 cmOnline resources: Abstract: Selection of nesting habitat in relation to vegetation heterogeneity and spatial scale of analysis was studied for plains sharp-tailed grouse (Tympanuchus phasianellus jamesi) in the Nebraska Sandhills to test the nesting component of a Habitat Suitability Index model. I tested the validity of estimating nesting suitability from mean effective height (MEH) (height to which a graduated pole is completely obstructed) of dried herbage in early spring, without regard to spatial heterogeneity in MEH. New Local Variance (NLV), a blocked-quadrat method for estimating mean patch size, was more effective than Two-Term Local Quadrat Variance and coefficient of variation for quantifying vegetation heterogeneity. Smoothing transect data with a compound data smoother prior to NLV analyses facilitated interpretation of results and clarified MEH patchiness in plots of the data. MEH pattern was apparently influenced by topography, snow compaction, rodent burrowing,and grazing and trampling by cattle
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Thesis(M.S.)--Colorado State University, 1992.
Includes bibliographical references.
Selection of nesting habitat in relation to vegetation heterogeneity and spatial scale of analysis was studied for plains sharp-tailed grouse (Tympanuchus phasianellus jamesi) in the Nebraska Sandhills to test the nesting component of a Habitat Suitability Index model. I tested the validity of estimating nesting suitability from mean effective height (MEH) (height to which a graduated pole is completely obstructed) of dried herbage in early spring, without regard to spatial heterogeneity in MEH. New Local Variance (NLV), a blocked-quadrat method for estimating mean patch size, was more effective than Two-Term Local Quadrat Variance and coefficient of variation for quantifying vegetation heterogeneity. Smoothing transect data with a compound data smoother prior to NLV analyses facilitated interpretation of results and clarified MEH patchiness in plots of the data. MEH pattern was apparently influenced by topography, snow compaction, rodent burrowing,and grazing and trampling by cattle