دورية أكاديمية
A multi-species evaluation of digital wildlife monitoring using the Sigfox IoT network.
| العنوان: | A multi-species evaluation of digital wildlife monitoring using the Sigfox IoT network. |
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| المؤلفون: | Wild TA; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Department of Biology, University of Konstanz, 78464 Constance, Germany.; Product Development Group Zurich (pd|z), ETH Zürich, Leonhardstr. 21, 8092 Zurich, Switzerland., van Schalkwyk L; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Department of Agriculture, Land Reform and Rural Development, P.O. Box 12, Skukuza, 1350 South Africa.; Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Soutpan Road, Pretoria, 0110 South Africa., Viljoen P; Scientific Services, South African National Parks, Skukuza, 1350 South Africa., Heine G; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany., Richter N; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany., Vorneweg B; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany., Koblitz JC; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Department of Biology, University of Konstanz, 78464 Constance, Germany.; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, 78464 Constance, Germany., Dechmann DKN; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Department of Biology, University of Konstanz, 78464 Constance, Germany.; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, 78464 Constance, Germany., Rogers W; Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven, CT 06511 USA., Partecke J; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Department of Biology, University of Konstanz, 78464 Constance, Germany., Linek N; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Department of Biology, University of Konstanz, 78464 Constance, Germany., Volkmer T; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Department of Biology, University of Konstanz, 78464 Constance, Germany., Gregersen T; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Section for Zoology, Natural History Museum of Denmark, University of Copenhagen, 2100 Copenhagen, OE Denmark., Havmøller RW; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Section for Zoology, Natural History Museum of Denmark, University of Copenhagen, 2100 Copenhagen, OE Denmark., Morelle K; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Department of Game Management and Wildlife Biology, Czech University of Life Science, 165 00 Prague, Czech Republic., Daim A; Institute of Wildlife Biology and Game, Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences (BOKU), 1180 Vienna, Austria., Wiesner M; Zoo Salzburg, 5081 Anif, Austria., Wolter K; Vulpro NpC, Vulture Programme, Plot 121 Boekenhoutkloof Road, Rietfontein, 0216 South Africa., Fiedler W; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany., Kays R; North Carolina Museum of Natural Sciences, Raleigh, NC 27601 USA.; Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27607 USA., Ezenwa VO; Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven, CT 06511 USA., Meboldt M; Product Development Group Zurich (pd|z), ETH Zürich, Leonhardstr. 21, 8092 Zurich, Switzerland., Wikelski M; Department of Migration, Max Planck Institute of Animal Behavior, 78315 Radolfzell, Germany.; Department of Biology, University of Konstanz, 78464 Constance, Germany.; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, 78464 Constance, Germany. |
| المصدر: | Animal biotelemetry [Anim Biotelemetry] 2023; Vol. 11 (1), pp. 13. Date of Electronic Publication: 2023 Mar 25. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Biomed Central Country of Publication: England NLM ID: 101648674 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2050-3385 (Electronic) Linking ISSN: 20503385 NLM ISO Abbreviation: Anim Biotelemetry Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Biomed Central, 2013- |
| مستخلص: | Bio-telemetry from small tags attached to animals is one of the principal methods for studying the ecology and behaviour of wildlife. The field has constantly evolved over the last 80 years as technological improvement enabled a diversity of sensors to be integrated into the tags (e.g., GPS, accelerometers, etc.). However, retrieving data from tags on free-ranging animals remains a challenge since satellite and GSM networks are relatively expensive and or power hungry. Recently a new class of low-power communication networks have been developed and deployed worldwide to connect the internet of things (IoT). Here, we evaluated one of these, the Sigfox IoT network, for the potential as a real-time multi-sensor data retrieval and tag commanding system for studying fauna across a diversity of species and ecosystems. We tracked 312 individuals across 30 species (from 25 g bats to 3 t elephants) with seven different device concepts, resulting in more than 177,742 successful transmissions. We found a maximum line of sight communication distance of 280 km (on a flying cape vulture [ Gyps coprotheres ]), which sets a new documented record for animal-borne digital data transmission using terrestrial infrastructure. The average transmission success rate amounted to 68.3% (SD 22.1) on flying species and 54.1% (SD 27.4) on terrestrial species. In addition to GPS data, we also collected and transmitted data products from accelerometers, barometers, and thermometers. Further, we assessed the performance of Sigfox Atlas Native, a low-power method for positional estimates based on radio signal strengths and found a median accuracy of 12.89 km (MAD 5.17) on animals. We found that robust real-time communication (median message delay of 1.49 s), the extremely small size of the tags (starting at 1.28 g without GPS), and the low power demands (as low as 5.8 µAh per transmitted byte) unlock new possibilities for ecological data collection and global animal observation. Competing Interests: Competing interestsJ.C.K. was hired by Sigfox Germany in 2022. His work on this publication was conducted prior. The remaining authors have no conflicts of interest to declare. (© The Author(s) 2023.) |
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| فهرسة مساهمة: | Keywords: Animal tracking; Biologging; Embedded systems; LPWAN; LoRa; Movement ecology; Onboard processing; Sigfox; Telemetry; Wireless sensors |
| تواريخ الأحداث: | Date Created: 20240527 Latest Revision: 20240528 |
| رمز التحديث: | 20240528 |
| مُعرف محوري في PubMed: | PMC11116194 |
| DOI: | 10.1186/s40317-023-00326-1 |
| PMID: | 38800509 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2050-3385 |
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| DOI: | 10.1186/s40317-023-00326-1 |