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Evidence for vocal signatures and voice-prints in a wild parrot.
Smeele, Simeon Q; Senar, Juan Carlos; Aplin, Lucy M; McElreath, Mary Brooke.
Afiliação
  • Smeele SQ; Cognitive and Cultural Ecology Research Group, Max Planck Institute of Animal Behavior, Radolfzell, Germany.
  • Senar JC; Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
  • Aplin LM; Department of Biology, University of Konstanz, Konstanz, Germany.
  • McElreath MB; Museu de Ciències Naturals de Barcelona, Barcelona, Spain.
R Soc Open Sci ; 10(10): 230835, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37800160
ABSTRACT
In humans, identity is partly encoded in a voice-print that is carried across multiple vocalizations. Other species also signal vocal identity in calls, such as shown in the contact call of parrots. However, it remains unclear to what extent other call types in parrots are individually distinct, and whether there is an analogous voice-print across calls. Here we test if an individual signature is present in other call types, how stable this signature is, and if parrots exhibit voice-prints across call types. We recorded 5599 vocalizations from 229 individually marked monk parakeets (Myiopsitta monachus) over a 2-year period in Barcelona, Spain. We examined five distinct call types, finding evidence for an individual signature in three. We further show that in the contact call, while birds are individually distinct, the calls are more variable than previously assumed, changing over short time scales (seconds to minutes). Finally, we provide evidence for voice-prints across multiple call types, with a discriminant function being able to predict caller identity across call types. This suggests that monk parakeets may be able to use vocal cues to recognize conspecifics, even across vocalization types and without necessarily needing active vocal signatures of identity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: R Soc Open Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: R Soc Open Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha