Skeletal correlates for body mass estimation in modern and fossil flying birds.
Skeletal correlates for body mass estimation in modern and fossil flying birds.
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DOI：
10.1371/journal.pone.0082000
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Darroch SA
中科院分区：
文献类型：
--
作者：
Field DJ;Lynner C;Brown C;Darroch SA
现存鸟类的骨骼尺寸和身体质量之间的比例关系经常被用来估计冠群鸟类化石和茎群鸟类的身体质量。然而，有用的统计测量约束化石质量估计的精度和准确性很少提供，这阻止了强大的上限和下限的身体质量估计化石的量化。在这里，我们生成13个身体质量的相关性和相关措施的统计稳健性使用的样本863现存的飞鸟。通过提供强大的身体质量回归的上限和下限预测区间的个别骨骼元素，我们解决了长期存在的问题，身体质量估计高度零碎的化石鸟类。我们证明，最精确的代理估计身体质量的整体数据集，作为普通最小二乘回归系数测定和预测误差百分比，是喙突的肱骨关节面（关节盂）的最大直径。我们进一步证明，这一结果是一致的，大多数调查鸟类订单（10出18）。因此，我们认为，在大多数情况下，这个代理可能会提供最准确的估计体质量的化石鸟类。此外，通过对13种不同的体重回归模型的体重预测误差进行统计测量，本研究为准确估计化石鸟类的体重和相关的生态相关性提供了一个急需的定量框架。这些回归的应用将提高许多基于质量的推断在未来的古鸟类学研究的精度和鲁棒性。
Scaling relationships between skeletal dimensions and body mass in extant birds are often used to estimate body mass in fossil crown-group birds, as well as in stem-group avialans. However, useful statistical measurements for constraining the precision and accuracy of fossil mass estimates are rarely provided, which prevents the quantification of robust upper and lower bound body mass estimates for fossils. Here, we generate thirteen body mass correlations and associated measures of statistical robustness using a sample of 863 extant flying birds. By providing robust body mass regressions with upper- and lower-bound prediction intervals for individual skeletal elements, we address the longstanding problem of body mass estimation for highly fragmentary fossil birds. We demonstrate that the most precise proxy for estimating body mass in the overall dataset, measured both as coefficient determination of ordinary least squares regression and percent prediction error, is the maximum diameter of the coracoid’s humeral articulation facet (the glenoid). We further demonstrate that this result is consistent among the majority of investigated avian orders (10 out of 18). As a result, we suggest that, in the majority of cases, this proxy may provide the most accurate estimates of body mass for volant fossil birds. Additionally, by presenting statistical measurements of body mass prediction error for thirteen different body mass regressions, this study provides a much-needed quantitative framework for the accurate estimation of body mass and associated ecological correlates in fossil birds. The application of these regressions will enhance the precision and robustness of many mass-based inferences in future paleornithological studies.
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影响因子：
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