Evidence map›Paper›PMID 27069579›Full record

ArticleEcology and evolution2016

Automated proximity sensing in small vertebrates: design of miniaturized sensor nodes and first field tests in bats.

Simon Ripperger, Darija Josic, Martin Hierold, Alexander Koelpin, Robert Weigel, Markus Hartmann, Rachel Page, Frieder Mayer

Abstract read
In one paragraph

Article in Ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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  10. Mobile platform sampling for designing environmental sensor networks.Environmental monitoring and assessment · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Simon RippergerMuseum für Naturkunde Leibniz Institute for Evolution and Biodiversity Science Berlin Germany.
Darija JosicMuseum für Naturkunde Leibniz Institute for Evolution and Biodiversity Science Berlin Germany.
Martin HieroldInstitute for Electronics Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany.
Alexander KoelpinInstitute for Electronics Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany.
Robert WeigelInstitute for Electronics Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany.
Markus HartmannInformation Technology (Communication Electronics) Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany.
Rachel PageSmithsonian Tropical Research Institute Apartado 0843-03092 Balboa, Ancón Panama.
Frieder MayerMuseum für Naturkunde Leibniz Institute for Evolution and Biodiversity Science Berlin Germany; Berlin-Brandenburg Institute of Advanced Biodiversity Research Berlin Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 among animal-borne sensors are usually heavy and do not allow for the investigation of small animal species, which represent the majority of avian and mammalian taxa. We present a lightweight animal-borne sensor node that is built from commercially available components and uses a sophisticated scheme for energy-efficient communication, with high sampling rates at relatively low power consumption. We demonstrate the basic functionality of the sensor node under laboratory conditions and its applicability for the study of social interactions among free-ranging animals. The first field tests were performed on two species of bats in temperate and tropical ecosystems. At <2 g, this sensor node is light enough to observe a broad spectrum of taxa including small vertebrates. Given our specifications, the system was especially sensitive to changes in distance within the short range (up to a distance of 4 m between tags). High spatial resolution at short distances enables the evaluation of interactions among individuals at a fine scale and the investigation of close contacts. This technology opens new avenues of research, allowing detailed investigation of events associated with social contact, such as mating behavior, pathogen transmission, social learning, and resource sharing. Social behavior that is not easily observed becomes observable, for example, in animals living in burrows or in nocturnal animals. A switch from traditional methods to the application of digital transceiver chips in proximity sensing offers numerous advantages in addition to an enormous increase in data quality and quantity. For future applications, the platform allows for the integration of additional sensors that may collect physiological or environmental data. Such information complements social network studies and may allow for a deeper understanding of animal ecology and social behavior.

Indexed as

Automated data collectiondigital telemetryencounter loggingsensor networksocial interactions

Identifiers

PMID27069579
PMCPMC4782256

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.