2018
DOI: 10.1002/jwmg.21583
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Habitat selection and population trends of the Torngat Mountains caribou herd

Abstract: Understanding why species at risk select certain habitat and what components of their life history influence changes in numbers can help mitigate population declines. The Torngat Mountains caribou (Rangifer tarandus) herd in northern Quebec-Labrador, Canada, is declining, and few studies have examined the potential causes of this decline. We fitted 9 Argos and 26 global positioning system (GPS)-collars on 35 adult caribou (25 female, 10 male) between 2011 and 2016 to assess seasonal habitat selection at 2 spat… Show more

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Cited by 5 publications
(4 citation statements)
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References 77 publications
(103 reference statements)
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“…(2016), we employed the method of k‐fold cross‐validation to evaluate the model fit. Our data were divided into 10 k‐folds based on the Huberty (1994) rule of thumb, and we reported the average Spearman's correlation for the 10 iterations (Bélanger, Leblond, & Côté, 2019). All statistical analyses were conducted in R 3.6.0 (R Core Team, 2019), with the “glmulti” (Calcagno, 2019) and “MuMIn” (Bartoń, 2019) packages for model selection and averaging.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…(2016), we employed the method of k‐fold cross‐validation to evaluate the model fit. Our data were divided into 10 k‐folds based on the Huberty (1994) rule of thumb, and we reported the average Spearman's correlation for the 10 iterations (Bélanger, Leblond, & Côté, 2019). All statistical analyses were conducted in R 3.6.0 (R Core Team, 2019), with the “glmulti” (Calcagno, 2019) and “MuMIn” (Bartoń, 2019) packages for model selection and averaging.…”
Section: Methodsmentioning
confidence: 99%
“…Candidate models were selected using Akaike's information criterion (AIC) and ranked using AIC c differences (ΔAIC c ) and AIC weights (W i ) to estimate the relative likelihood of each candidate model (Burnham & Anderson, 2002). Competitive thumb, and we reported the average Spearman's correlation for the 10 iterations (Bélanger, Leblond, & Côté, 2019). All statistical analyses were conducted in R 3.6.0 (R Core Team, 2019), with the "glmulti" (Calcagno, 2019) and "MuMIn" (Bartoń, 2019) packages for model selection and averaging.…”
Section: Duck Habitat Use Based On Satellite Trackingmentioning
confidence: 99%
“…Random activity areas for each individual were the same size and shape as real activity areas. To guide the placement of random activity areas we used the random point tool in QGIS version 3.6, and defined the boundary of available habitat by adding a 500 m buffer around the real activity areas of all individual animals within each site (Bélanger, Leblond & Côté, 2019). We calculated the proportion of farms, tree patches, grassland, water bodies, roads and human dwellings within each real and random activity area using a land cover map that we manually constructed based on satellite imagery.…”
Section: Methodsmentioning
confidence: 99%
“…These models estimate the utilization distribution (UD) as a continuous-time stochastic model of movement (Horne et al 2007). Previous studies have used BBMMs to describe movement patterns of migratory species (Sawyer et al 2009(Sawyer et al , 2019, including caribou (Nicholson et al 2016, Bélanger et al 2019. Prior to this analysis, we filtered all GPS locations and removed locations with a GPS positional dilution of precision >10 (D'Eon and Delparte 2005).…”
Section: Spatial Overlapmentioning
confidence: 99%