A test of a hierarchical signalling model in song sparrows
Hierarchical signalling may be a common adaptation for aggressive signalling. In this strategy an animal progresses through a series of discretely different signals of escalating level of threat before eventually proceeding to physical aggression. A model of such hierarchical aggressive signalling has been proposed for song sparrows, Melospiza melodia, in which a core part of the sequence is: song type match. → soft song. → attack. The model predicts that song type matching is a strong predictor of soft song, but only aweak predictor of attack. We used a two-part playback design to test these predictions, with an initial edge playback from just off the subject's territory using a song type that the subject could match, followed by a centre playback from a speaker placed well within the territory. Each male was tested twice with this design. We found that matching the edge playback did not predict soft song production at the centre. A second strong threat, wing waving, was actually negatively associated with matching. Matching the edge playback also was not associated with physical measures of aggression such as approach and latency to approach. Thus, this particular model of hierarchical aggressive signalling was not supported for our study population. Song type matching in our study population may have some function not associated with aggressive signalling to the matched individual, or no function at all. © 2013 The Association for the Study of Animal Behaviour.
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- Behavioral Science & Comparative Psychology
- 52 Psychology
- 31 Biological sciences
- 30 Agricultural, veterinary and food sciences
- 17 Psychology and Cognitive Sciences
- 07 Agricultural and Veterinary Sciences
- 06 Biological Sciences
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Behavioral Science & Comparative Psychology
- 52 Psychology
- 31 Biological sciences
- 30 Agricultural, veterinary and food sciences
- 17 Psychology and Cognitive Sciences
- 07 Agricultural and Veterinary Sciences
- 06 Biological Sciences