TY - JOUR
T1 - Thinking small
T2 - Next-generation sensor networks close the size gap in vertebrate biologging
AU - Ripperger, Simon P.
AU - Carter, Gerald G.
AU - Page Supervision, Rachel A.
AU - Duda, Niklas
AU - Koelpin, Alexander
AU - Weigel, Robert
AU - Hartmann, Markus
AU - Nowak, Thorsten
AU - Thielecke, Jörn
AU - Schadhauser, Michael
AU - Robert, Jörg
AU - Herbst, Sebastian
AU - Meyer-Wegener, Klaus
AU - Wägemann, Peter
AU - Preikschat, Wolfgang Schröder
AU - Cassens, Björn
AU - Kapitza, Rüdiger
AU - Dressler, Falko
AU - Mayer, Frieder
N1 - Publisher Copyright:
© 2020 Public Library of Science. All rights reserved.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85082980241
UR - https://www.scopus.com/inward/citedby.url?scp=85082980241&partnerID=8YFLogxK
U2 - 10.1371/journal.pbio.3000655
DO - 10.1371/journal.pbio.3000655
M3 - Article
C2 - 32240158
AN - SCOPUS:85082980241
SN - 1544-9173
VL - 18
JO - PLoS biology
JF - PLoS biology
IS - 4
M1 - e3000655
ER -