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• W2970036757 startingPage "117556" @default.
• W2970036757 abstract "Abstract Pacific marten (Martes caurina) populations have become fragmented and constricted throughout their western range, often due to factors such as increased severity of wildfires and timber harvesting. Future population declines are predicted given decreasing snow packs and changes in vegetation communities. One element of marten habitat, rest and den structures, may be particularly vulnerable. These structures are used for protection from inclement weather and predation, as well as sites for parturition. Rest structures are often considered a limiting habitat element; characterizing their abundance, type, and distribution has been suggested as a way to evaluate habitat quality. We evaluated marten resting habitat, combining vegetation data from light detection and ranging technology (LiDAR) and ground-based surveys. From 2009–2013 and 2015–2017, we located 312 unique rest structures used by 31 martens (18 males, 13 females). With ground-based surveys, we examined selection of used structures by measuring the diameter at breast height for comparison of rest structures and trees located in random plots. For broader landscape-level predicted habitat, we paired used locations with 624 randomly-sampled locations, and optimized 14 habitat covariates at 12 spatial scales using case-controlled logistic regression. Each covariate’s optimized scale was used to develop a series of a priori hypothesized multi-scale habitat selection models. Martens selected woody structures that were larger than random structures (rest structures = 97.8 ± 31.0 cm; random = 52.7 ± 24.9 cm, x ± SD, t = 21.6, p" @default.
• W2970036757 created "2019-09-05" @default.
• W2970036757 creator A5026989870 @default.
• W2970036757 creator A5044051141 @default.
• W2970036757 creator A5061127149 @default.
• W2970036757 creator A5062737897 @default.
• W2970036757 date "2019-11-01" @default.
• W2970036757 modified "2023-10-12" @default.
• W2970036757 title "Using fine scale resolution vegetation data from LiDAR and ground-based sampling to predict Pacific marten resting habitat at multiple spatial scales" @default.
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• W2970036757 doi "https://doi.org/10.1016/j.foreco.2019.117556" @default.
• W2970036757 hasPublicationYear "2019" @default.
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