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Population Characteristics May Reduce the Levels of Individual Call Identity

Overview of attention for article published in PLOS ONE, October 2013
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Title
Population Characteristics May Reduce the Levels of Individual Call Identity
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077557
Pubmed ID
Authors

María del Mar Delgado, Eleonora Caferri, Maria Méndez, José A. Godoy, Letizia Campioni, Vincenzo Penteriani

Abstract

Individual variability influences the demographic and evolutionary dynamics of spatially structured populations, and conversely ecological and evolutionary dynamics provide the context under which variations at the individual level occur. Therefore, it is essential to identify and characterize the importance of the different factors that may promote or hinder individual variability. Animal signaling is a prime example of a type of behavior that is largely dependent on both the features of individuals and the characteristics of the population to which they belong. After 10 years studying the dynamics of a population of a long-lived species, the eagle owl (Bubo bubo), we investigated the emergence and maintenance of traits that reveal individual identity by focusing on vocal features. We found that individuals inhabiting a high density population characterized by a relative lack of heterogeneity (in terms of prey availability and breeding success) among breeding sites might be selected for reducing the levels of identity. Two non-mutually exclusive hypotheses may explain the structural call patterns we detected: (1) similarity in calls may be principally a consequence of the particular characteristics of the population; and (2) high density may encourage individuals to mimic each other's vocalizations in a cascade effect, leading to a widespread and unique communication network.

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The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
Brazil 1 3%
Unknown 35 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Ph. D. Student 7 18%
Student > Bachelor 6 16%
Student > Doctoral Student 4 11%
Student > Postgraduate 2 5%
Other 4 11%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 63%
Environmental Science 4 11%
Unknown 10 26%