r37980778c78--4f929bb40d5e127f33e76519fcac6591

Recent advances in animal tracking technology have ushered in a new era in biologging. However, the considerable size of many sophisticated biologging devices restricts their application to larger animals, whereas older techniques often still represent the state-of-the-art for studying small vertebrates. In industrial applications, low-power wireless sensor networks (WSNs) fulfill requirements similar to those needed to monitor animal behavior at high resolution and at low tag mass. We developed a wireless biologging network (WBN), which enables simultaneous direct proximity sensing, high-resolution tracking, and long-range remote data download at tag masses of 1 to 2 g. Deployments to study wild bats created social networks and flight trajectories of unprecedented quality. Our developments highlight the vast capabilities of WBNs and their potential to close an important gap in biologging: fully automated tracking and proximity sensing of small animals, even in closed habitats, at high spatial and temporal resolution.

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PID https://www.doi.org/10.1371/journal.pbio.3000655
URL http://dx.doi.org/10.1371/journal.pbio.3000655
URL https://figshare.com/articles/Thinking_small_Next-generation_sensor_networks_close_the_size_gap_in_vertebrate_biologging/12068205
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Access Right Open Access
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Collected From figshare
Hosted By figshare
Publication Date 2020-04-02
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Language UNKNOWN
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::4f929bb40d5e127f33e76519fcac6591
Author jsonws_user
Last Updated 3 January 2021, 09:43 (CET)
Created 3 January 2021, 09:43 (CET)