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本文引用的文献

1
Vocal production learning in the pale spear-nosed bat, .古棱齿象蝠发声学习的研究。
Biol Lett. 2020 Apr;16(4):20190928. doi: 10.1098/rsbl.2019.0928. Epub 2020 Apr 15.
2
Vocal learning: Beyond the continuum.发声学习:超越连续统。
PLoS Biol. 2020 Mar 30;18(3):e3000672. doi: 10.1371/journal.pbio.3000672. eCollection 2020 Mar.
3
A Modular Approach to Vocal Learning: Disentangling the Diversity of a Complex Behavioral Trait.模块化的发声学习方法:解析复杂行为特征的多样性。
Neuron. 2019 Oct 9;104(1):87-99. doi: 10.1016/j.neuron.2019.09.036.
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Formant Modification through Vocal Production Learning in Gray Seals.通过灰海豹的发声学习来改变共振峰。
Curr Biol. 2019 Jul 8;29(13):2244-2249.e4. doi: 10.1016/j.cub.2019.05.071. Epub 2019 Jun 20.
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How small could a pup sound? The physical bases of signaling body size in harbor seals.海豹幼崽发出的声音能有多小?斑海豹信号传递体型大小的物理基础。
Curr Zool. 2017 Aug;63(4):457-465. doi: 10.1093/cz/zox026. Epub 2017 Apr 12.
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Acoustic allometry revisited: morphological determinants of fundamental frequency in primate vocal production.重新审视声学异速生长:灵长类动物发声中基频的形态学决定因素
Sci Rep. 2017 Sep 5;7(1):10450. doi: 10.1038/s41598-017-11000-x.
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SOCIAL SELECTION AND THE EVOLUTION OF ANIMAL SIGNALS.社会选择与动物信号的进化
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Body size and vocalization in primates and carnivores.灵长类动物和食肉动物的体型和发声。
Sci Rep. 2017 Jan 24;7:41070. doi: 10.1038/srep41070.
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Does size matter? Examining the drivers of mammalian vocalizations.体型重要吗?探究哺乳动物发声的驱动因素。
Evolution. 2017 Feb;71(2):249-260. doi: 10.1111/evo.13128. Epub 2016 Dec 13.
10
A study of vocal nonlinearities in humpback whale songs: from production mechanisms to acoustic analysis.驼背鲸歌声中的声非线性研究:从产生机制到声学分析。
Sci Rep. 2016 Oct 10;6:31660. doi: 10.1038/srep31660.

哺乳动物的声学测度与发声学习。

Acoustic allometry and vocal learning in mammals.

机构信息

Animal Behaviour, Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8051 Zurich, Switzerland.

Center for the Interdisciplinary Study of Language Evolution, University of Zurich, 8032 Zurich, Switzerland.

出版信息

Biol Lett. 2020 Jul;16(7):20200081. doi: 10.1098/rsbl.2020.0081. Epub 2020 Jul 8.

DOI:10.1098/rsbl.2020.0081
PMID:32634374
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7423041/
Abstract

is the study of how animal vocalizations reflect their body size. A key aim of this research is to identify outliers to acoustic allometry principles and pinpoint the evolutionary origins of such outliers. A parallel strand of research investigates species capable of , the experience-driven ability to produce novel vocal signals through imitation or modification of existing vocalizations. Modification of vocalizations is a common feature found when studying both acoustic allometry and vocal learning. Yet, these two fields have only been investigated separately to date. Here, we review and connect acoustic allometry and vocal learning across mammalian clades, combining perspectives from bioacoustics, anatomy and evolutionary biology. Based on this, we hypothesize that, as a precursor to vocal learning, some species might have evolved the capacity for volitional vocal modulation via sexual selection for 'dishonest' signalling. We provide preliminary support for our hypothesis by showing significant associations between allometric deviation and vocal learning in a dataset of 164 mammals. Our work offers a testable framework for future empirical research linking allometric principles with the evolution of vocal learning.

摘要

是研究动物发声如何反映其体型的学科。这项研究的一个主要目标是确定声学异速生长原理的异常值,并确定这些异常值的进化起源。研究的另一个平行领域则探讨了物种能够通过模仿或修改现有发声来产生新的发声信号的能力,即体验驱动的发声能力。发声的改变是在研究声学异速生长和发声学习时都常见的特征。然而,迄今为止,这两个领域仅分别进行了研究。在这里,我们综述并连接了哺乳动物类群中的声学异速生长和发声学习,结合了生物声学、解剖学和进化生物学的观点。基于这一点,我们假设,作为发声学习的前奏,一些物种可能通过性选择进化出了通过“不诚实”信号进行意愿发声调节的能力。我们通过展示 164 种哺乳动物数据集在声音学习方面的重要关联,为我们的假设提供了初步支持。我们的工作为未来的实证研究提供了一个可测试的框架,将异速生长原理与发声学习的进化联系起来。