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  4. Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging
 
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Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging

Publikationstyp
Journal Article
Date Issued
2020-04-01
Sprache
English
Author(s)
Ripperger, Simon P.  
Carter, Gerald G.  
Page, Rachel A.  
Duda, Niklas  
Kölpin, Alexander  orcid-logo
Weigel, Robert  
Hartmann, Markus  
Nowak, Thorsten  
Thielecke, Jörn  
Schadhauser, Michael  
Robert, Joerg  
Herbst, Sebastian  
Meyer-Wegener, Klaus  
Wägemann, Peter  
Schröder-Preikschat, Wolfgang  
Cassens, Björn  
Kapitza, Rüdiger  
Dressler, Falko  
Mayer, Frieder  
TORE-URI
http://hdl.handle.net/11420/11664
Journal
PLoS biology  
Volume
18
Issue
4
Article Number
e3000655
Citation
PLoS Biology 18 (4): e3000655 (2020-04-01)
Publisher DOI
10.1371/journal.pbio.3000655
Scopus ID
2-s2.0-85082980241
PubMed ID
32240158
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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