2018
DOI: 10.2192/ursus-d-17-00004.2
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American black bear den-site selection and characteristics in an urban environment

Abstract: black bear den-site selection and characteristics in an urban environment" (2018).

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Cited by 4 publications
(3 citation statements)
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“…Therefore, selection of an appropriate den site is important for population growth or stability as well as survival and recruitment of young. Previous work has suggested that the type of den that bears selected was consistent with the type of cover that was most common in the surrounding area (Baldwin & Bender, 2008;Bard & Cain III, 2020;Beecham et al, 1983;Fowler et al, 2019;Schafer et al, 2018).…”
Section: Introductionmentioning
confidence: 84%
See 1 more Smart Citation
“…Therefore, selection of an appropriate den site is important for population growth or stability as well as survival and recruitment of young. Previous work has suggested that the type of den that bears selected was consistent with the type of cover that was most common in the surrounding area (Baldwin & Bender, 2008;Bard & Cain III, 2020;Beecham et al, 1983;Fowler et al, 2019;Schafer et al, 2018).…”
Section: Introductionmentioning
confidence: 84%
“…Since we were interested in investigating multiple scales of selection, we analyzed each of the four datasets separately, resulting in To quantify characteristics of den sites selected by bears, we used conditional logistic regression using the "clogit" function in the survival package in R version 4.2.2 (R Core Team, 2022; Therneau, 2022;Therneau & Grambsch, 2000). Conditional logistic regression allowed us to use a matched-case control format for used and available (random) locations (Bard & Cain III, 2020;Manly et al, 2002;Schafer et al, 2018). We used the "stepAIC" function in the MASS package in R (Venables & Ripley, 2002) to rank models by Akaike's Information Criterion corrected for small sample size (AICc; Burnham & Anderson, 2002) and to identify a top-performing model.…”
Section: Discussionmentioning
confidence: 99%
“…Resource selection analysis.— We used a conditional logistic regression framework to fit our RSFs, where parturition sites (used locations) and random sites (available locations) were matched (Lehman et al 2016; Schafer et al 2018). We fit generalized linear mixed models (GLMMs) in R package ‘glmmTMB’ version 0.2.3 (Magnusson et al 2019) with a Poisson error distribution and a log link function because the likelihood converges to that of a conditional logistic regression when random intercept variances are fixed at a large value (Muff et al 2020).…”
Section: Methodsmentioning
confidence: 99%