NDLI: Capturing cross-scalar variation of habitat selection with grid sampling: an example with hazel grouse (Tetrastes bonasia L.)

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Capturing cross-scalar variation of habitat selection with grid sampling: an example with hazel grouse (Tetrastes bonasia L.)

Content Provider	Springer Nature Link
Author	Sitzia, Tommaso Dainese, Matteo Clementi, Thomas Mattedi, Silva
Copyright Year	2013
Abstract	The objective of this study was to investigate a grid-based sampling design to determine the cross-scalar selection of habitat by a territorial animal species: the hazel grouse (Tetrastes bonasia L.). In each of three sites with increasing hazel grouse nest site density, three lattice grids were used to measure both the habitat variables and the species occurrence in 100 30 × 30 m cells. We calculated the average values for habitat variables, as well as use versus non-use by the species, at three spatial scales: small (1 × 1 cell), intermediate (2 × 2 cells) and large (3 × 3 cells). Generalised linear mixed models were integrated into a method of variation and hierarchical partitioning and used to assess the relationship between the habitat variables and the species preferences at each scale. In all scales, species selection was associated with ground layer composition. Selection was also associated with the composition of the woody layer and negatively associated with dominance of tor grass (Brachypodium rupestre (Host) Roem. & Schult.) at the two larger scales. Both litter cover and thinning contributed positively to the habitat selection at the two smaller scales. The other variables were significant only at one scale or explained a relatively low proportion of the variation at multiple scales. Neither the management nor the stand structure variables played a significant independent role across scales when compared with ground layer variables. The total variation explained was highest (ca. 90 %) at the large scale. This finding indicates the possibility of obtaining cross-scalar hazel grouse preferences from grid-based sampling, provided that spatial autocorrelation in the data is handled appropriately.
Starting Page	177
Ending Page	186
Page Count	10
File Format	PDF
ISSN	16124642
Journal	European Journal of Wildlife Research
Volume Number	60
Issue Number	2
e-ISSN	14390574
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-10-06
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Generalised linear mixed model Habitat selection Landscape ecology Spatial scale Variation partitioning Zoology Animal Ecology
Content Type	Text
Resource Type	Article
Subject	Ecology, Evolution, Behavior and Systematics Management, Monitoring, Policy and Law Nature and Landscape Conservation

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