Journal of Comparative Physiology A

, Volume 193, Issue 8, pp 845–852

Acoustical expression of arousal in conflict situations in tree shrews (Tupaia belangeri)

  • Simone Schehka
  • Karl-Heinz Esser
  • Elke Zimmermann
Original Paper

Abstract

Empirical research on human and non-human primates suggests that communication sounds express the intensity of an emotional state of a signaller. In the present study, we have examined communication sounds during induced social interactions of a monogamous mammal, the tree shrew. To signal their unwillingness to mate, female tree shrews show defensive threat displays towards unfamiliar males paralleled by acoustically variable squeaks. We assumed that the distance between interacting partners as well as the behavior of the male towards the female indicates the intensity of perceived social threat and thereby the arousal state of a female. To explore this hypothesis we analyzed dynamic changes in communication sounds uttered during induced social interactions between a female and an unfamiliar male. Detailed videographic and sound analyzes revealed that the arousal state predicted variations in communication sound structure reliably. Both, a decrease of distance and a male approaching the female led to an increase in fundamental frequency and repetition rate of syllables. These findings support comparable results in human and non-human primates and suggest that common coding rules in communication sounds govern acoustic conflict regulation in mammals.

Keywords

Communication Emotion Defensive threat Conflict Sounds 

Abbreviations

AFRMB

Analysis of female response to male behavior

AFRMP

Analysis of female response to male proximity

F0

Fundamental frequency

IR

Interquartile range

ISI

Intersyllable interval

PF

Peak frequency

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Simone Schehka
    • 1
  • Karl-Heinz Esser
    • 1
  • Elke Zimmermann
    • 1
  1. 1.Institute of ZoologyUniversity of Veterinary Medicine HannoverHannoverGermany

Personalised recommendations