Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging.
Simon P RippergerGerald G CarterRachel A PageNiklas DudaAlexander KolpinRobert WeigelMarkus HartmannThorsten NowakJörn ThieleckeMichael SchadhauserJörg RobertSebastian HerbstKlaus Meyer-WegenerPeter WägemannWolfgang Schröder-PreikschatBjörn CassensRüdiger KapitzaFalko DresslerFrieder MayerPublished in: PLoS biology (2020)
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.
Keyphrases
- high resolution
- healthcare
- mass spectrometry
- machine learning
- depressive symptoms
- big data
- physical activity
- heavy metals
- high throughput
- mental health
- electronic health record
- wastewater treatment
- low cost
- magnetic resonance imaging
- contrast enhanced
- climate change
- community dwelling
- magnetic resonance
- ultrasound guided
- data analysis
- genetic diversity
- network analysis