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首页> 外文期刊>International journal of primatology >Investigating Individual Vocal Signatures and Small-Scale Patterns of Geographic Variation in Female Bornean Gibbon (Hylobates muelleri) Great Calls
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Investigating Individual Vocal Signatures and Small-Scale Patterns of Geographic Variation in Female Bornean Gibbon (Hylobates muelleri) Great Calls

机译:调查女性北长臂(<重点类型=“斜体”> Hylobates Muelleri )巨大呼叫的各个声音变异

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Abstract Quantifying patterns of variation in primate vocalizations has important implications for understanding the evolutionary processes that lead to variation in phenotypic traits more broadly. Here, we investigated individuality and patterns of geographic variation across a small geographic scale (ca. 10?km) in female Bornean gibbon (Hylobates muelleri) great calls. We analyzed calls recorded from wild, unhabituated gibbon groups at the Stability of Altered Forest Ecosystems site in Sabah, Malaysia. We estimated 23 acoustic features in 376 great calls from 33 different females. We used linear discriminant function analysis to investigate intra- and interindividual variation in great calls. To examine small-scale patterns of geographic variation great calls we investigated measures of acoustic dissimilarity as a function of distance. We found that temporal features (such as the duration of the notes and the duration of rest between notes) contributed substantially to individuality. We were able to identify females based on their calls with 95.7% accuracy using leave-one-out cross-validation. We found no discernible patterns of geographic variation at our site; females with neighboring territories were just as likely to have similar calls as females with more distant territories. It is possible that we did not sample across a large enough geographic range, or that substantial interindividual variation effectively swamped across-site patterns of variation. Our findings add to the growing body of evidence for individual vocal signatures in primates and mammals, but further research is needed to understand the evolutionary mechanisms that contribute to individuality in gibbon calls.]]>
机译:<![CDATA [<标题>抽象 ara id =“par1”>定期声音的变化模式的量化具有重要意义,对理解更广泛地导致表型特性变异的进化过程。在这里,我们调查了小型地理标度的地理变化的个性和模式(<重点类型=“斜体”> CA。 10 km)在女性北长臂(<重点类型=“斜体”> Hylobates Muelleri < /重点>)很棒的电话。我们分析了在马来西亚沙巴改变森林生态系统网站的稳定性中录制的野生股票群体。我们估计33个不同的女性376个声音特征。我们使用了线性判别函数分析来调查巨大呼叫中的内部和解变化。为了检查地理变化的小规模模式,我们调查了作为距离的函数的声学不一致的衡量标准。我们发现时间特征(例如笔记的持续时间和剩余持续时间)基本上贡献了个性。我们能够使用休假交叉验证,根据他们的呼叫来识别女性的呼叫。我们发现我们网站上没有可辨别的地理变异模式;与邻近领土的女性同样可能与女性与更遥远的地区相似。我们有可能在足够大的地理范围内进行采样,或者具有实质性的互联变化有效地淹没在现场变化模式。我们的调查结果增加了灵长类动物和哺乳动物中各种声乐签名的越来越多的证据,但需要进一步的研究来了解对长臂猿呼叫中的个性有助于的进化机制。]>

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