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合作的鸟类能区分不同个体的叫声,即使这些叫声来自完全陌生的个体。

Cooperative bird differentiates between the calls of different individuals, even when vocalizations were from completely unfamiliar individuals.

机构信息

Behavioural and Physiological Ecology Research Centre, Zoology, University of New England, Armidale 2351, Australia.

出版信息

Biol Lett. 2012 Jun 23;8(3):365-8. doi: 10.1098/rsbl.2011.1118. Epub 2012 Jan 18.

Abstract

Hypotheses proposed to explain the evolution of cooperative behaviour typically require differentiation between either groups of conspecifics (e.g. kin/non-kin) or, more typically, individuals (e.g. reciprocal altruism). Despite this, the mechanisms that facilitate individual or class recognition have rarely been explored in cooperative species. This study examines the individual differentiation abilities of noisy miners (Manorina melanocephala), a species with one of the most complex avian societies known. Miners permanently occupy colonies numbering into hundreds of individuals. Within these colonies, cooperative coalitions form on a fission-fusion basis across numerous contexts, from social foraging through to mobbing predators. Birds often use individually distinctive 'chur' calls to recruit others to a caller's location, facilitating coalition formation. I used the habituation-discrimination paradigm to test the ability of miners to differentiate between the chur calls of two individuals that were both either: (i) familiar, or (ii) unfamiliar to the focal subject. This technique had not, to my knowledge, been used to assess vocalization differentiation in cooperative birds previously, but here demonstrated that miners could correctly use the spectral features of signals to differentiate between the vocalizations of different individuals, regardless of their familiarity. By attending to individual differences in recruitment calls, miners have a communication system that is capable of accommodating even the most complex cooperative hypotheses based upon acoustic information.

摘要

为了解释合作行为的进化,通常需要区分同种个体(如亲缘/非亲缘)或更典型的个体(如互惠利他主义)。尽管如此,在合作物种中,很少有研究探索促进个体或群体识别的机制。本研究考察了嘈杂矿工(Manorina melanocephala)的个体分化能力,这是一种已知具有最复杂鸟类社会之一的物种。矿工永久占据着成百上千只个体的殖民地。在这些殖民地中,合作联盟以裂变融合的方式在许多不同的情境下形成,从社交觅食到驱赶捕食者。鸟类经常使用独特的“chur”叫声来招募其他鸟到叫声发出者的位置,从而促进联盟的形成。我使用习惯化-辨别范式来测试矿工区分两个个体的 chur 叫声的能力,这两个个体都是:(i)熟悉的,或者(ii)不熟悉焦点个体的。这种技术以前没有被用于评估合作鸟类的发声分化,但这里表明矿工可以正确地使用信号的光谱特征来区分不同个体的发声,而不论其熟悉程度如何。通过关注招募叫声中的个体差异,矿工拥有一种能够适应基于声学信息的最复杂合作假设的交流系统。

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