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Possibilities for error during communication by neotropical frogs in a complex acoustic environment

机译:在复杂的声学环境中,新热带青蛙在交流过程中可能出错

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Differences in vocalizations promote accurate identification of species during mate choice. The properties of vocalizations vary, however, and overlap in the properties of different species' calls raises the possibility of errors in species identification. A general model of these possibilities is provided by discriminant function analysis (DFA). To illustrate this use of DFA, we consider possibilities for error in the classification of advertisement calls by Hyla ebraccata in a diverse community of neotropical hylid frogs. The analysis used three features of their calls: duration, dominant frequency, and pulse repetition rate, separately and in combination. These properties are known to be used for mate choice by female H. ebraccata and many other species of frogs. With only one feature, DFA misidentified 12-32% of individuals, either by assigning H. ebraccata calls to other species (missed detections) or by assigning calls of other species to H. ebraccata (false alarms). With two call parameters, DFA committed few or no errors. If the analysis included the relative abundances of the different species, there were even fewer errors. Thus DFA can use as few as two features to identify calls of H. ebraccata almost without error. The dispersion of the different species in discriminant-function space was random, not overdispersed as expected, regardless of the call features included in the analysis. The lack of overdispersion might be explained by differences in selection on calls of common and rare species. This application of DFA indicates several ways in which understanding the possibilities for errors can advance our understanding of the evolution of communication in general.
机译:发声的差异可促进伴侣选择过程中物种的准确识别。发声的属性各不相同,但是不同物种的呼唤属性重叠会增加物种识别错误的可能性。判别函数分析(DFA)提供了这些可能性的通用模型。为了说明DFA的这种用法,我们考虑了Hyla ebraccata在新热带Hylid青蛙的各种社区中对广告调用进行分类的错误可能性。分析使用了呼叫的三个特征:持续时间,主导频率和脉冲重复率,分别或组合使用。已知这些特性可用于雌性H. ebraccata和许多其他种类的青蛙选择伴侣。 DFA仅具有一项功能,即通过将ebraccata调用分配给其他物种(错过的检测)或将其他物种的调用分配给ebraccata(错误警报)来误识别12-32%的个人。使用两个调用参数,DFA几乎不会犯任何错误。如果分析包括不同物种的相对丰度,则错误更少。因此,DFA几乎可以没有错误地使用最少两个功能来识别ebraccata调用。判别函数空间中不同物种的分散是随机的,没有像预期的那样过度分散,无论分析中包括哪些调用特征。过度分散的缺乏可能是由于对常见和稀有物种的选择上的差异造成的。 DFA的这种应用表明了几种理解错误可能性的方法,这些方法可以总体上增进我们对交流发展的理解。

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