Geographic patterns of song variation reveal timing of song acquisition in a wild avian population
Description
Geographic patterns of song variation are common in passerines and can develop as a consequence of the mechanisms of song acquisition and dispersal. In particular, the timing of dispersal relative to the sensory learning phase and the time of song crystallization is important. For example, when the sensory phase continues after dispersal or when males learn new songs every breeding season, i.e. open-ended learner, neighborhoods can develop where males share their songs. In this study, we utilize a unique, comprehensive dispersal and song recording dataset to investigate the existence and development of micro-geographic song variation in a wild passerine population. Machine learning song analysis methods allow us to overcome perceptual bias in the classification of the songs of New Zealand hihi (Notiomystis cincta). We show that males share more song elements of their repertoire with their neighbors than with more distant males or with males from the same natal area, implying that repertoire is acquired post-dispersal. Finally, we suggest that high levels of male competition have driven the development of post-dispersal vocal learning behavior in this species.
Impact and interest:
Citation counts are sourced monthly from Scopus and Web of Science® citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
ID Code: | 107936 | ||
---|---|---|---|
Item Type: | Contribution to Journal (Journal Article) | ||
Refereed: | Yes | ||
ORCID iD: |
|
||
Measurements or Duration: | 8 pages | ||
Keywords: | dispersal, micro-geographic song variation, song acquisition | ||
DOI: | 10.1093/beheco/arx072 | ||
ISSN: | 1465-7279 | ||
Pure ID: | 33228404 | ||
Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Past > Schools > School of Earth, Environmental & Biological Sciences |
||
Copyright Owner: | Consult author(s) regarding copyright matters | ||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
Deposited On: | 12 Jun 2017 00:31 | ||
Last Modified: | 01 Mar 2024 18:00 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page