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Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging
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 vertebr...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117662/ https://www.ncbi.nlm.nih.gov/pubmed/32240158 http://dx.doi.org/10.1371/journal.pbio.3000655 |
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author | Ripperger, Simon P. Carter, Gerald G. Page, Rachel A. Duda, Niklas Koelpin, Alexander Weigel, Robert Hartmann, Markus Nowak, Thorsten Thielecke, Jörn Schadhauser, Michael Robert, Jörg Herbst, Sebastian Meyer-Wegener, Klaus Wägemann, Peter Schröder-Preikschat, Wolfgang Cassens, Björn Kapitza, Rüdiger Dressler, Falko Mayer, Frieder |
author_facet | Ripperger, Simon P. Carter, Gerald G. Page, Rachel A. Duda, Niklas Koelpin, Alexander Weigel, Robert Hartmann, Markus Nowak, Thorsten Thielecke, Jörn Schadhauser, Michael Robert, Jörg Herbst, Sebastian Meyer-Wegener, Klaus Wägemann, Peter Schröder-Preikschat, Wolfgang Cassens, Björn Kapitza, Rüdiger Dressler, Falko Mayer, Frieder |
author_sort | Ripperger, Simon P. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7117662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71176622020-04-09 Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging Ripperger, Simon P. Carter, Gerald G. Page, Rachel A. Duda, Niklas Koelpin, Alexander Weigel, Robert Hartmann, Markus Nowak, Thorsten Thielecke, Jörn Schadhauser, Michael Robert, Jörg Herbst, Sebastian Meyer-Wegener, Klaus Wägemann, Peter Schröder-Preikschat, Wolfgang Cassens, Björn Kapitza, Rüdiger Dressler, Falko Mayer, Frieder PLoS Biol Methods and Resources 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. Public Library of Science 2020-04-02 /pmc/articles/PMC7117662/ /pubmed/32240158 http://dx.doi.org/10.1371/journal.pbio.3000655 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Methods and Resources Ripperger, Simon P. Carter, Gerald G. Page, Rachel A. Duda, Niklas Koelpin, Alexander Weigel, Robert Hartmann, Markus Nowak, Thorsten Thielecke, Jörn Schadhauser, Michael Robert, Jörg Herbst, Sebastian Meyer-Wegener, Klaus Wägemann, Peter Schröder-Preikschat, Wolfgang Cassens, Björn Kapitza, Rüdiger Dressler, Falko Mayer, Frieder Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging |
title | Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging |
title_full | Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging |
title_fullStr | Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging |
title_full_unstemmed | Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging |
title_short | Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging |
title_sort | thinking small: next-generation sensor networks close the size gap in vertebrate biologging |
topic | Methods and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7117662/ https://www.ncbi.nlm.nih.gov/pubmed/32240158 http://dx.doi.org/10.1371/journal.pbio.3000655 |
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