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The AMMonitor community is a collaboration of remote wildlife monitoring projects whose media data (audio, photos, and video and their metadata) comprise a repository for use in (1) ongoing adaptive management and research of wildlife, and (2) the development of new predictive models, via machine learning, for the automated identification of target species from media. Each collaborating project uses the AMMonitor R package and database structure for pooling data under a unifying framework that meets high quality standards for rich metadata. Each project exists as a child-item of this ScienceBase community, containing metadata about the project itself. These project items contain media folders as children, which...
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....