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Abstract (from ESA): Estimating population size and resource selection functions (RSFs) are common approaches in applied ecology for addressing wildlife conservation and management objectives. Traditionally such approaches have been undertaken separately with different sources of data. Spatial capture–recapture (SCR) provides a hierarchical framework for jointly estimating density and multi‐scale resource selection, and data integration techniques provide opportunities for improving inferences from SCR models. Despite the added benefits, there have been few applications of SCR‐RSF integration, potentially due to complexities of specifying and fitting such models. Here, we extend a previous integrated SCR‐RSF model...
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Remote telemetry data loggers are commonly used for monitoring wildlife species. Although remote telemetry data loggers provide reliable microhabitat use data, few studies have used them to evaluate landscape-scale, temporal, and spatial habitat use. We installed 3 data loggers along a mountain ridgeline that was being developed for a commercial wind farm in northern New Hampshire, USA, to monitor use of a high-elevation forest by American martens (Martes americana). We tested 1) the efficacy of data loggers to record presence–absence and index space use in a 6.75-km2 area, validating marten locations using radiotelemetry and camera traps; and 2) whether there were diel and seasonal biases of data logger detections....
Categories: Publication;
Types: Citation;
Tags: Birds,
Drought, Fire and Extreme Weather,
Extreme Weather,
Forestry,
Mammals, All tags...
Northeast CASC,
Other Wildlife,
Wildlife,
Wildlife and Plants,
remote monitoring, Fewer tags
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