Individual vocal signatures show reduced complexity following invasion
Individual vocal signatures show reduced complexity following invasion
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入侵后个体声音特征显示复杂性降低
DOI：
10.1016/j.anbehav.2021.06.020
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发表时间：
2021
期刊：
影响因子：
2.5
通讯作者：
Wright, Timothy F.
中科院分区：
文献类型：
--
作者：
Smith-Vidaurre, Grace;Perez-Marrufo, Valeria;Wright, Timothy F.
语音学习用于社会识别的方式可能对社会环境很敏感。能够学习声音的生物入侵者对于测试这种可能性很有用，因为入侵会改变种群的大小。一些声音学习物种使用声音信号的频率调制模式进行个体识别。在这些物种中，频率调制模式在更大的社会群体中应该更复杂，反映出对个体独特性的更大选择。我们使用巢穴数量和巢穴密度作为乌拉圭本地僧侣长尾小鹦鹉（Myiopsitta monachus）和美国入侵范围种群的本地种群规模的代理。获得群体大小以估计每个范围的最大社会群体大小。采用监督机器学习和频率轮廓比较了本土种群和入侵种群之间的接触呼叫结构，并评估了城市栖息地对呼叫结构的影响。入侵地种群表现出较少的巢、较低的巢密度和较小的最大群数，这与入侵后种群规模的减少是一致的。在入侵范围内的长尾小鹦鹉也产生了更简单的频率调制模式的接触呼叫。比彻统计（HS）揭示了入侵范围呼叫中个体身份内容的减少和可能的唯一个体签名的减少。简单的个体签名与学习呼叫的复杂性的放松选择是一致的，可能用于我们在入侵后确定的较小的当地种群中的个体声音识别。在这两个范围内，城市栖息地的频率调制模式更简单，这表明城市栖息地也可以改变社会环境，进而影响学习到的个体特征的复杂性。这些发现促进了越来越多的关于使用声音学习进行个体识别的文献，并表明声音学习可以用于以对当地人口规模敏感的方式产生个体声音签名。
The manner in which vocal learning is used for social recognition may be sensitive to the social environment. Biological invaders capable of vocal learning are useful for testing this possibility, as invasion alters population size. Some vocal learning species use frequency modulation patterns of acoustic signals for individual recognition. In such species, frequency modulation patterns should be more complex in larger social groups, reflecting greater selection for individual distinctiveness. We used numbers of nests and nest densities as proxies of local population sizes of native range monk parakeets,Myiopsitta monachus, in Uruguay and invasive range populations in the United States. Flock sizes were obtained to estimate maximum social group sizes per range. Supervised machine learning and frequency contours were employed to compare contact call structure between native and invasive range populations, and the effect of urban habitats on call structure was also assessed. Invasive range populations exhibited fewer nests, lower nest densities and smaller maximum flock sizes, which is consistent with a reduction in population size following invasion. Parakeets at invasive range sites also produced contact calls with simpler frequency modulation patterns. Beecher's statistic (HS) revealed reduced individual identity content and fewer possible unique individual signatures in invasive range calls. Simpler individual signatures are consistent with relaxed selection on the complexity of learned calls likely used for individual vocal recognition in the smaller local populations that we identified post-invasion. Frequency modulation patterns were simpler in urban habitats in both ranges, indicating that urban habitats could also alter the social environment and in turn influence the complexity of learned individual signatures. These findings contribute to a growing literature on the use of vocal learning for individual recognition and indicate that vocal learning can be used to produce individual vocal signatures in a manner sensitive to local population size.
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影响因子：
2.4
作者：
Grace Smith;M. Araya‐Salas;T. Wright
通讯作者：
T. Wright
DOI：
--
发表时间：
2020
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Philosophical Transactions of the Royal Society of London. Biological Sciences
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DOI：
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发表时间：
2007
期刊：
影响因子：
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作者：
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DOI：
--
发表时间：
2008
期刊：
影响因子：
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