Body size information in large-scale acoustic bat databases

PeerJ
Caterina PenoneIsabelle Le Viol

Abstract

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. 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. Forearm length was positively correlated with highe...Continue Reading

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Citations

Apr 10, 2019·Proceedings. Biological Sciences·Luc BarbaroFons van der Plas
Jun 4, 2019·The Journal of the Acoustical Society of America·Charlotte RoemerYves Bas

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Methods Mentioned

BETA
PCA

Software Mentioned

Scan
R
WorldClim
lmerTest

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