Females extract multiple signals from male song in Java sparrows

Author:

Lewis Rebecca N.ORCID,Makioka Hiroharu,Gilman R. TuckerORCID,Soma MasayoORCID

Abstract

AbstractSongs play an important role in mate choice for many bird species. Females of some species prefer mates with song characteristics such as familiarity, complexity, or specific temporal or note features. Different song characteristics may provide distinct information about the birds that produced those songs. For example, familiarity may be a signal of local adaptation, locally relevant information or learned behaviours, or genetic compatibility, while song complexity may be a signal of overall genetic quality. However, how song characteristics combine to affect female preferences remains poorly understood. We examined female preference for song familiarity and complexity using the Java sparrow (Padda oryzivora) as a model species. Females were presented with pairs of song stimuli; familiar and unfamiliar songs in familiarity trials, and songs differing in note repertoire or linearity in complexity trials. Females preferred their fathers’ songs over unfamiliar songs, but we did not find strong evidence that females generalized this preference to other socially related individuals. Females also preferred complex songs, specifically those with larger note repertoires and with lower linearity, even when controlling for familiarity. Our results suggest that female song preference in Java sparrows is multi-faceted, with different song characteristics potentially offering different information to choosy females.

Publisher

Cold Spring Harbor Laboratory

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3