HABITAT SELECTION BY WOOD TURTLES (CLEMMYS INSCULPTA): AN APPLICATION OF PAIRED LOGISTIC REGRESSION

By Bradley Wendell Compton, J. Rhymer, M. Mccollough. 2002

307 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/bdaf734de50fd2f82be234d5ac23e66ddfb157b6

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Citations in the corpus

Scale for resource selection functions (2006, methodology): “Analysis is done using conditional logistic regression and matching of used locations with some arbitrary number of random landscape locations drawn from within each buffered resource unit; sometimes this is called matched-case or paired logistic regression (Compton et al ., 2002).”
Habitat selection by mule deer during migration: effects of landscape structure and natural-gas development (2012, methodology): “To estimate resource-selection functions, we compared used and random locations along spring migration routes with conditional logistic regression (PROC LOGISTIC; SAS Institute Inc. 1990, Compton et al. 2002, Boyce 2006).”
Resource Selection and Movements by Female Mule Deer Odocoileus hemionus: Effects of Reproductive Stage (2009, methodology): “We estimated RSFs using conditional logistic regression (Compton et al. 2002, Boyce 2006).”
Effects of landscape composition, habitat features, and nest distribution on predation rates of simulated turtle nests (2004, background): “We acknowledge that our results may not apply directly to other species of turtles because some species (e.g., Blanding’s, spotted, and wood) tend to utilize terrestrial habitats more extensively than painted turtles that we patterned our nests after (Joyal et al., 2001; Compton et al., 2002).”
Removing GPS collar bias in habitat selection studies (2004, background): “For designs that temporally constrain availability (Arthur et al. 1996; Cooper & Millspaugh 1999; Hjermann 2000; Compton, Rhymer & McCollough 2002 ), iterative simulation may be more desirable as corrections are constrained to the time and area of the missed location.”
WOLVES INFLUENCE ELK MOVEMENTS: BEHAVIOR SHAPES A TROPHIC CASCADE IN YELLOWSTONE NATIONAL PARK (2005, methodology): “The statistical approach is based on conditional logistic regression, and was inspired by resource selection studies having a case-control design (e.g., Compton et al. 2002, Boyce et al. 2003; see also Manly et al. 2002).”
Modelling wildlife–human relationships for social species with mixed‐effects resource selection models (2007, background): “Statistical advances in RSF models especially have overcome earlier methodological deficiencies (Garshelis 2000) by accommodating categorical and continuous covariates, nonlinear functions, autocorrelation (Nielsen et al . 2002), and flexible definitions of availability ( Compton, Rhymer & McColloug”
Integrated step selection analysis: bridging the gap between resource selection and animal movement (2015, methodology): “4 analysis (SSA), where each ‘used step’ (connecting two consecutive observed positions of the animal) is coupled with a set of ‘available steps’ randomly sampled from the empirical distribution of observed steps or their characteristics (e.g., their length and direction; Fortin et al. 2005; Duchesn”
Modelling distribution and abundance with presence‐only data (2006, unknown): “Examples of this approach include contrasting wood turtle Clemmys insculpta locations with paired random locations ( Compton, Rhymer & McCollough 2002 ) and contrasting superb parrot Polytelis swainsonii nest trees with paired random trees (Manning, Lindenmayer & Barry 2004).”
Effects of Habitat Features and Landscape Composition on the Population Structure of a Common Aquatic Turtle in a Region Undergoing Rapid Development (2004, background): “For example, Blanding’s, spotted, and wood turtles use upland habitats to a greater extent than C. picta (Joyal et al. 2001; Compton et al. 2002).”
Thermal quality influences habitat selection at multiple spatial scales in milksnakes (2006, background): “Compton, Rhymer, and McCollough (2002) examined habitat use in wood turtles at two spatial scales and found selection at both scales.”
Human Activity Differentially Redistributes Large Mammals in the Canadian Rockies National Parks (2011, methodology): “We test these hypotheses using GPS radio telemetry from 32 individuals of the two species in a paired-logistic resource selection function framework (Compton et al. 2002).”
CANOPY STRUCTURE, MICROCLIMATE, AND HABITAT SELECTION BY A NOCTURNAL SNAKE, HOPLOCEPHALUS BUNGAROIDES (2003, unknown): “All research was carried out in accordance with New South Wales National Parks and Wildlife Service permits.”
Spatial Ecology and Multi-scale Habitat Selection by a Threatened Rattlesnake: The Eastern Massasauga (Sistrurus Catenatus Catenatus) (2006, methodology): “The model with the lowest AIC value was considered to be the top model, and all models within two AIC values of the minimum were considered to be supported (Burnham and Anderson, 1998; Compton et al., 2002).”
Correlation and studies of habitat selection: problem, red herring or opportunity? (2010, methodology): “) can be estimated by generating available points (using ga) for comparison to known telemetry observations in a conditional logistic regression framework (Compton et al. 2002; Forester et al. 2009).”