Inner ear anatomy is a proxy for deducing auditory capability and behaviour in reptiles and birds.
Inner ear anatomy is a proxy for deducing auditory capability and behaviour in reptiles and birds.
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内耳解剖学是推断爬行动物和鸟类听觉能力和行为的代理。
DOI：
10.1098/rspb.2008.1390
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Walsh SA
中科院分区：
文献类型：
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作者：
Walsh SA
关于灭绝的爬行动物和鸟类的听觉能力和听觉相关行为的推断，以前是基于将耳蜗管尺寸与现存物种进行比较。然而，内耳骨骼解剖与听觉能力或发声之间的关系从未在现存或化石分类群中进行过严格的测试。在这里，微计算机断层扫描分析是用来调查是否简单的骨内耳蜗管（ECD）的测量可以适合模型的听力灵敏度，发声，社会性和环境偏好的59个现存的爬行动物和鸟类物种，选择基于他们的发声能力。从ECD虚拟内窥镜模型中测量长度、喙尾/内外侧宽度和体积，并按比例缩放至颅底长度。多元回归这些数据的听力灵敏度，声乐的复杂性，社会性和环境偏好的措施恢复ECD长度和听力范围/平均频率，声乐的复杂性，行为特征的配对结合和生活在大的聚集之间的正相关关系，和ECD长度/rostrocaudal宽度和水生环境之间的负相关关系。没有其他维度与这些变量相关。我们的研究结果表明，ECD长度可以用来预测平均听力频率和范围的化石类群，这一措施也可以预测声音的复杂性和大群体的社会性给予全面的数据集。
Inferences of hearing capabilities and audition-related behaviours in extinct reptiles and birds have previously been based on comparing cochlear duct dimensions with those of living species. However, the relationship between inner-ear bony anatomy and hearing ability or vocalization has never been tested rigorously in extant or fossil taxa. Here, micro-computed tomographic analysis is used to investigate whether simple endosseous cochlear duct (ECD) measurements can be fitted to models of hearing sensitivity, vocalization, sociality and environmental preference in 59 extant reptile and bird species, selected based on their vocalization ability. Length, rostrocaudal/mediolateral width and volume measurements were taken from ECD virtual endocasts and scaled to basicranial length. Multiple regression of these data with measures of hearing sensitivity, vocal complexity, sociality and environmental preference recovered positive correlations between ECD length and hearing range/mean frequency, vocal complexity, the behavioural traits of pair bonding and living in large aggregations, and a negative correlation between ECD length/rostrocaudal width and aquatic environments. No other dimensions correlated with these variables. Our results suggest that ECD length can be used to predict mean hearing frequency and range in fossil taxa, and that this measure may also predict vocal complexity and large group sociality given comprehensive datasets.