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Buzzwords in Females’ Ears? The Use of Buzz Songs in the Communication of Nightingales (Luscinia megarhynchos)

Overview of attention for article published in PLOS ONE, September 2012
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Title
Buzzwords in Females’ Ears? The Use of Buzz Songs in the Communication of Nightingales (Luscinia megarhynchos)
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0045057
Pubmed ID
Authors

Michael Weiss, Sarah Kiefer, Silke Kipper

Abstract

Differences in individual male birds' singing may serve as honest indicators of male quality in male-male competition and female mate choice. This has been shown e.g. for overall song output and repertoire size in many bird species. More recently, differences in structural song characteristics such as the performance of physically challenging song components were analysed in this regard. Here we show that buzz elements in the song of nightingales (Luscinia megarhynchos) hold the potential to serve as indicators of male quality and may therefore serve a communicative function. Buzzes were produced with considerable differences between males. The body weight of the males was correlated with one measure of these buzzes, namely the repetition rate of the buzz subunits, and individuals with larger repertoires sang buzzes at higher subunit-rates. A model of buzz performance constraints suggested that buzzes were sung with different proficiencies. In playback experiments, female nightingales showed more active behaviour when hearing buzz songs. The results support the idea that performance differences in the acoustic fine structure of song components are used in the communication of a large repertoire species such as the nightingale.

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The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Brazil 1 2%
Czechia 1 2%
Argentina 1 2%
Denmark 1 2%
United States 1 2%
Unknown 35 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Student > Bachelor 7 17%
Researcher 6 15%
Student > Master 5 12%
Lecturer 2 5%
Other 3 7%
Unknown 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 54%
Environmental Science 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Philosophy 1 2%
Computer Science 1 2%
Other 3 7%
Unknown 9 22%