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The Vocal Repertoire of the African Penguin (Spheniscus demersus): Structure and Function of Calls

Overview of attention for article published in PLOS ONE, July 2014
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Title
The Vocal Repertoire of the African Penguin (Spheniscus demersus): Structure and Function of Calls
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0103460
Pubmed ID
Authors

Livio Favaro, Laura Ozella, Daniela Pessani

Abstract

The African Penguin (Spheniscus demersus) is a highly social and vocal seabird. However, currently available descriptions of the vocal repertoire of African Penguin are mostly limited to basic descriptions of calls. Here we provide, for the first time, a detailed description of the vocal behaviour of this species by collecting audio and video recordings from a large captive colony. We combine visual examinations of spectrograms with spectral and temporal acoustic analyses to determine vocal categories. Moreover, we used a principal component analysis, followed by signal classification with a discriminant function analysis, for statistical validation of the vocalisation types. In addition, we identified the behavioural contexts in which calls were uttered. The results show that four basic vocalisations can be found in the vocal repertoire of adult African Penguin, namely a contact call emitted by isolated birds, an agonistic call used in aggressive interactions, an ecstatic display song uttered by single birds, and a mutual display song vocalised by pairs, at their nests. Moreover, we identified two distinct vocalisations interpreted as begging calls by nesting chicks (begging peep) and unweaned juveniles (begging moan). Finally, we discussed the importance of specific acoustic parameters in classifying calls and the possible use of the source-filter theory of vocal production to study penguin vocalisations.

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The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
Germany 1 <1%
Italy 1 <1%
Brazil 1 <1%
South Africa 1 <1%
Israel 1 <1%
Spain 1 <1%
Unknown 126 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 20%
Student > Ph. D. Student 21 16%
Student > Master 21 16%
Student > Bachelor 17 13%
Other 8 6%
Other 16 12%
Unknown 23 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 44%
Environmental Science 20 15%
Social Sciences 3 2%
Neuroscience 3 2%
Unspecified 3 2%
Other 14 11%
Unknown 32 24%