2016
DOI: 10.1002/ece3.2040
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Automated proximity sensing in small vertebrates: design of miniaturized sensor nodes and first field tests in bats

Abstract: Social evolution has led to a stunning diversity of complex social behavior, in particular in vertebrate taxa. Thorough documentation of social interactions is crucial to study the causes and consequences of sociality in gregarious animals. Wireless digital transceivers represent a promising tool to revolutionize data collection for the study of social interactions in terms of the degree of automation, data quantity, and quality. Unfortunately, devices for automated proximity sensing via direct communication a… Show more

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Cited by 34 publications
(30 citation statements)
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References 55 publications
(124 reference statements)
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“…Recent technological advances enable us to observe movement paths of a large range of species at temporal and spatial scales that are suitable for studying fine-scale attraction and avoidance behaviours towards others (Kays, Crofoot, Jetz, & Wikelski, 2015;Vanak et al, 2013). While tracking multiple individuals simultaneously is difficult with hand-held VHF methods (but see Schülke & Kappeler, 2003) and still relatively expensive with GPS (due to the costs of single GPS units), this becomes both easier and cheaper (price per tag) with next-generation systems, for example wireless sensor networks, which can include proximity loggers (Mennill et al, 2012;Ripperger et al, 2016), or local high-throughput telemetry systems such as ARTS (Automated Radio-Telemetry Systems; Kays et al, 2011) or ATLAS (Advanced Tracking and Localization of Animals in real-life Systems; Weiser et al, 2016). Thus, we expect multi-individual, multi-species movement data to become more readily available in the near future.…”
Section: Introductionmentioning
confidence: 99%
“…Recent technological advances enable us to observe movement paths of a large range of species at temporal and spatial scales that are suitable for studying fine-scale attraction and avoidance behaviours towards others (Kays, Crofoot, Jetz, & Wikelski, 2015;Vanak et al, 2013). While tracking multiple individuals simultaneously is difficult with hand-held VHF methods (but see Schülke & Kappeler, 2003) and still relatively expensive with GPS (due to the costs of single GPS units), this becomes both easier and cheaper (price per tag) with next-generation systems, for example wireless sensor networks, which can include proximity loggers (Mennill et al, 2012;Ripperger et al, 2016), or local high-throughput telemetry systems such as ARTS (Automated Radio-Telemetry Systems; Kays et al, 2011) or ATLAS (Advanced Tracking and Localization of Animals in real-life Systems; Weiser et al, 2016). Thus, we expect multi-individual, multi-species movement data to become more readily available in the near future.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, every meeting is labeled with a maximum signal strength intensity indicator (RSSI). This makes it possible to subset the meeting dataset according to signal strength, an estimate for proximity 13 . RSSI values can distinguish close-contact associations from associations based on merely occupying the same area.…”
Section: Resultsmentioning
confidence: 99%
“…Whenever one or more tracking sensors are within reception range of ca. 10 m maximum distance (Ripperger et al 2016), a so called ‘meeting’ is created. As soon as no signal has been received by the respective meeting partner for five sending intervals (corresponding to 10 seconds), the meeting is closed and stored to on-board memory along with the ID of the meeting partner, a timestamp, total meeting duration, and a maximum signal strength indicator (RSSI) of the meeting.…”
Section: Methodsmentioning
confidence: 99%
“…We used a refined version of miniaturized proximity sensors, which has been described and tested in free-ranging bats first in Ripperger et al (2016). The proximity sensor comprises a System-on-Chip (SoC) for communication control and on-board data processing, a transceiver which enables communication in the 868MHz frequency band with other proximity sensors or base stations and a wake-up-receiver which activates full system functionality from an energy-saving low-power mode whenever communication partners are in range.…”
Section: Methodsmentioning
confidence: 99%