Body size information in large-scale acoustic bat databases

Penone, Caterina; Kerbiriou, Christian; Julien, Jean-François; Marmet, Julie; Le Viol, Isabelle (2018). Body size information in large-scale acoustic bat databases. PeerJ, 6, e5370. PeerJ, Ltd 10.7717/peerj.5370

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Background
Citizen monitoring programs using acoustic data have been useful for detecting population and community patterns. However, they have rarely been used to study broad scale patterns of species traits. We assessed the potential of acoustic data to detect broad scale patterns in body size. We compared geographical patterns in body size with acoustic signals in the bat species Pipistrellus pipistrellus. Given the correlation between body size and acoustic characteristics, we expected to see similar results when analyzing the relationships of body size and acoustic signals with climatic variables.

Methods
We assessed body size using forearm length measurements of 1,359 bats, captured by mist nets in France. For acoustic analyses, we used an extensive dataset collected through the French citizen bat survey. We isolated each bat echolocation call (n = 4,783) and performed automatic measures of signals, including the frequency of the flattest part of the calls (characteristic frequency). We then examined the relationship between forearm length, characteristic frequencies, and two components resulting from principal component analysis for geographic (latitude, longitude) and climatic variables.

Results
Forearm length was positively correlated with higher precipitation, lower seasonality, and lower temperatures. Lower characteristic frequencies (i.e., larger body size) were mostly related to lower temperatures and northern latitudes. While conducted on different datasets, the two analyses provided congruent results.

Discussion
Acoustic data from citizen science programs can thus be useful for the detection of large-scale patterns in body size. This first analysis offers a new perspective for the use of large acoustic databases to explore biological patterns and to address both theoretical and applied questions.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Plant Sciences (IPS) > Plant Ecology
08 Faculty of Science > Department of Biology > Institute of Plant Sciences (IPS)

UniBE Contributor:

Penone, Caterina

Subjects:

500 Science > 580 Plants (Botany)

ISSN:

2167-8359

Publisher:

PeerJ, Ltd

Language:

English

Submitter:

Peter Alfred von Ballmoos-Haas

Date Deposited:

11 Sep 2018 16:55

Last Modified:

05 Dec 2022 15:18

Publisher DOI:

10.7717/peerj.5370

BORIS DOI:

10.7892/boris.119906

URI:

https://boris.unibe.ch/id/eprint/119906

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