Individual recognition by song in white-throated sparrows. III. Song features used in individual recognition

Author:

Brooks Ronald J.,Falls J. Bruce

Abstract

We investigated features of song important in recognition of neighbors by playing natural and altered songs to territorial male white-throated sparrows (Zonotrichia albicollis). The major pattern (ascending or descending) of notes in a song provided insufficient information for recognition, since strange songs were responded to as such, whether or not they resembled neighbors' songs in this respect. Songs consisting of only the first three notes permitted neighbor–stranger discrimination. Neighbors' songs were altered in various ways, though never beyond the normal range of variation for the population. We assumed that if features important for recognition of neighbors' songs were altered sufficiently, the birds would respond to neighbors' songs as though they were strange songs. We found that a change of more than 5 to 10% in pitch of the song, pitch of the first note, and possibly pitch change between the first and second notes interfered with recognition of a neighbor's song. In contrast, changes as great as 15% in duration of a song or of the first note had no effect on recognition. Reliance on pitch for recognition is consistent with present knowledge of natural variation in songs of individual white-throated sparrows and of auditory discrimination of birds. Features of song used in species and individual recognition are compared.

Publisher

Canadian Science Publishing

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Cited by 123 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