Study Designs and Tests for Comparing Resource Use and Availability II
By Dana L. Thomas, E. J. Taylor. 2006
521 citations recorded by the source corpus.
Subfields: Ecology, Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/98efffba19781db81a63f9caa113ae7c290cc3a3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Mark Hebblewhite
- K. Wilson
- J. Broderick
- S. Baruch‐Mordo
- B. Griffith
- Yingte Zhang
- Hae Kyung Im
- Samuel A. Cushman
In Economics and Econometrics
- B. Griffith
- Hae Kyung Im
- Samuel A. Cushman
- Paul J. Rathouz
- J. Forester
- Mark Hebblewhite
- Matthew D. Johnson
- M. Chase
Citations in the corpus
- Combining resource selection and movement behavior to predict corridors for Canada lynx at their southern range periphery (2013, methodology): “We treated marked animals as the experimental unit, thus addressing the most common problems associated with resource selection analyses including the pooling of data across individuals (Thomas and Taylor, 2006).”
- Foraging ecology of black bears in urban environments: guidance for human‐bear conflict mitigation (2015, background): “The advent of GPS technology for wildlife tracking now allows observations at a fine spatiotemporal scale (Erickson et al. 2001, Thomas and Taylor 2006); however, collection of fine-scale explanatory data remains a challenge as these are often not adequately summarized solely with GIS data (McClure…”
- Effects of hunting with hounds on a non-target species living on the edge of a protected area (2011, methodology): “In analysing the effects of hunting on deer spatial behaviour we took into account the influence of habitat parameters and types, by addressing resource availability at the individual home range level, as suggested by Thomas and Taylor’s design 3 (Thomas and Taylor, 1990).”
- Elephants in space and time (2005, background): “Traditionally, wildlife researchers utilizing telemetry have sought to remove autocorrelation from their analyses (Swihart and Slade 1985, Alldredge and Ratti 1986, Thomas and Taylor 1990 ) in order to meet the assumptions of numerous statistical tests which assume independence of observations (Neu”
- Accounting for animal movement in estimation of resource selection functions: sampling and data analysis. (2009, methodology): “Key words: animal movement; case-control; conditional logistic regression; elk; relocation kernel; resource selection function; telemetry; Yellowstone.”