Data for <b>Phenotypic variance in a potentially honest acoustic signal: the courtship display of the Cape Clapper Lark (</b><b><i>Mirafra apiata</i></b><b>)</b>
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https://figshare.com/articles/dataset/Data_for_b_Phenotypic_variance_in_a_potentially_honest_acoustic_signal_the_courtship_display_of_the_Cape_Clapper_Lark_b_b_i_Mirafra_apiata_i_b_b_b_/27725664
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Courtship displays provide important insight into sexual selection, evolution, and the roles of communication signals in behavioral ecology. Understanding to what extent displays are honest indicators of individual quality can provide insight into the reliability of acoustic cues that females use to discriminate between potential mates. We used the Cape Clapper Lark’s (<i>Mirafra apiata</i>) elaborate acoustic aerial display to assess its honesty. We quantified the between-individual repeatability of the bioacoustics of the display (claps, call), and tested for its correlation with proxies of territory quality (area, arthropod prey biomass, and <i>Protea</i> plant number)., The song and clapping duration showed moderate repeatability, and the number of <i>Protea</i> was negatively associated with the clap duration, and the number of claps. There were no associations between the call parameters, the territory size, and prey biomass. Wing clapping thus could be a predictor of territory quality and our study provides a platform for future investigation of no-vocal acoustic signaling in birds.
求偶展示为性选择、进化演化以及通讯信号在行为生态学中的作用提供了重要研究视角。明确求偶展示在多大程度上可作为个体质量的诚实信号,有助于理解雌性用于甄别潜在配偶的声学线索的可靠性。我们以海角拍翅百灵(Cape Clapper Lark,学名<i>Mirafra apiata</i>)复杂的声学空中展示行为为研究对象,对其诚实性进行评估。我们量化了该展示行为(拍翅声、鸣叫声)的生物声学特征的个体间重复性,并检验其与领地质量代理指标(领地面积、节肢动物猎物生物量、山龙眼(<i>Protea</i>)植株数量)的相关性。鸣唱时长与拍翅时长均表现出中等程度的个体重复性,山龙眼植株数量与拍翅时长、拍翅次数均呈负相关关系。鸣唱参数、领地面积与猎物生物量之间则未发现显著关联。因此,翅拍声可作为领地质量的预测指标,本研究为未来开展鸟类非发声声学信号的相关研究提供了研究框架。
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figshare创建时间:
2024-11-14
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含Cape Clapper Lark(Mirafra apiata)求偶展示的声学和行为数据,用于研究表型变异作为潜在诚实信号。数据包括翅膀拍打声和叫声的参数,以及领地质量指标(如Protea植物数量),分析显示翅膀拍打持续时间与植物数量呈负相关,表明其可能预测领地质量。数据集支持行为生态学和性选择研究,重点关注声学信号的重复性与环境因素的关联。
以上内容由遇见数据集搜集并总结生成




