Determining activity patterns and home range of wild bats using a proximity biologging system based on the Internet of Things (IoT)
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We monitored female Bechstein’s bats (Myotis bechsteinii) using a grid of 65 logging stations over two breeding seasons. Individual UDs were estimated using proximity data via autocorrelated kernel density estimation. We analyzed kinship-driven space-sharing and site fidelity through spatial overlap metrics. To validate system accuracy, we conducted a human-mediated field simulation for comparing proximity- against GPS-derived UDs.
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2026-02-26



