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Raven food calls indicate sender’s age and sex

机译:乌鸦美食电话显示寄件者的年龄和性别

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BackgroundAcoustic parameters of animal signals have been shown to correlate with various phenotypic characteristics of the sender. These acoustic characteristics can be learned and categorized and thus are a basis for perceivers’ recognition abilities. One of the most demanding capacities is individual recognition, achievable only after repeated interactions with the same individual. Still, class-level recognition might be potentially important to perceivers who have not previously encountered callers but can classify unknown individuals according to the already learned categories. Especially for species with high fission-fusion dynamics that repeatedly encounter unknown individuals it may be advantageous to develop class-level recognition. We tested whether frequency-, temporal-, and amplitude-related acoustic parameters of vocalizations emitted by ravens, a species showing high fission-fusion dynamics in non-breeder aggregations, are connected to phenotypic characteristics and thus have the potential for class-level recognition. ResultsThe analysis of 418 food calls revealed that some components summarizing acoustic parameters were differentiated by age-classes and sex. ConclusionsTogether, the results provide evidence for the co-variation of vocal characteristics and respective sex and age categories, a prerequisite for class-level recognition in perceivers. Perceivers that are ignorant of the caller’s identity can thus potentially recognize these class-level differences for decision-making processes in feeding contexts.
机译:背景已经显示动物信号的声学参数与发送者的各种表型特征相关。这些声学特征可以被学习和分类,因此是感知者识别能力的基础。最苛刻的能力之一是个人识别,只有与同一个人反复互动才能实现。但是,对于以前没有遇到过呼叫者但可以根据已经学习的类别对未知个人进行分类的感知器,类级别的识别可能仍然很重要。尤其对于反复遇到未知个体的具有高裂变融合动力学的物种,发展类级识别可能是有利的。我们测试了乌鸦发出的发声的频率,时间和振幅相关的声学参数(一种在非育种聚集中显示高裂变融合动态的物种)是否与表型特征相关联,从而具有在类级别识别的潜力。结果对418个食物呼叫的分析表明,总结声学参数的某些成分因年龄和性别而有所不同。结论总之,这些结果共同为人声特征与各自的性别和年龄类别的共变提供了证据,这是感知者获得班级识别的前提。因此,不了解呼叫者身份的感知者可以潜在地识别这些类别级别的差异,从而在馈送上下文中进行决策。

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