Cultural conformity generates extremely stable traditions in bird song
File(s)
Author(s)
Lachlan, Robert F
Ratmann, Oliver
Nowicki, Stephen
Type
Journal Article
Abstract
Cultural traditions have been observed in a wide variety of animal species. It remains unclear, however, what is required for social learning to give rise to stable traditions: what level of precision and what learning strategies are required. We address these questions by fitting models of cultural evolution to learned bird song. We recorded 615 swamp sparrow (Melospiza georgiana) song repertoires, and compared syllable frequency distributions to the output of individual-based simulations. We find that syllables are learned with an estimated error rate of 1.85% and with a conformist bias in learning. This bias is consistent with a simple mechanism of overproduction and selective attrition. Finally, we estimate that syllable types could frequently persist for more than 500 years. Our results demonstrate conformist bias in natural animal behaviour and show that this, along with moderately precise learning, may support traditions whose stability rivals those of humans.
Date Issued
2018-06-20
Date Acceptance
2018-05-21
Citation
Nature Communications, 2018, 9
ISSN
2041-1723
Publisher
Nature Publishing Group
Journal / Book Title
Nature Communications
Volume
9
Copyright Statement
© The Author(s) 2018. This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative
Commons license, and indicate if changes were made. The images or other third party
material in this article are included in the article
’
s Creative Commons license, unless
indicated otherwise in a credit line to the material. If material is not included in the
article
’
s Creative Commons license and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this license, visit
http://creativecommons.org/
licenses/by/4.0/
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative
Commons license, and indicate if changes were made. The images or other third party
material in this article are included in the article
’
s Creative Commons license, unless
indicated otherwise in a credit line to the material. If material is not included in the
article
’
s Creative Commons license and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this license, visit
http://creativecommons.org/
licenses/by/4.0/
Sponsor
Medical Research Council (MRC)
Bill & Melinda Gates Foundation
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/29925831
PII: 10.1038/s41467-018-04728-1
Grant Number
MR/K010174/1B
GCAEN 511473
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
APPROXIMATE BAYESIAN COMPUTATION
CATEGORICAL PERCEPTION
SELECTIVE ATTRITION
SWAMP SPARROW
EVOLUTION
OVERPRODUCTION
TRANSMISSION
WILD
SIGNAL
Animals
Biological Evolution
Female
Learning
Male
Models, Theoretical
Songbirds
Vocalization, Animal
Animals
Songbirds
Vocalization, Animal
Learning
Models, Theoretical
Female
Male
Biological Evolution
Publication Status
Published
Coverage Spatial
England
Article Number
2417
Date Publish Online
2018-06-20