A primate's body mass covaries with numerous ecological, physiological, and behavioral characteristics. This versatility and potential to provide insight into an animal's life has made body mass prediction a frequent and important objective in paleoanthropology. In hominin paleontology, the most commonly employed body mass prediction equations (BMPEs) are "mechanical" and "morphometric": uni- or multivariate linear regressions incorporating dimensions of load-bearing skeletal elements and stature and living bi-iliac breadth as predictor variables, respectively. The precision and accuracy of BMPEs are contingent on multiple factors, however, one of the most notable and pervasive potential sources of error is extrapolation beyond the limits of the reference sample. In this study, we use a test sample requiring extrapolation-56 bonobos (Pan paniscus) from the Lola ya Bonobo sanctuary in Kinshasa, Democratic Republic of the Congo-to evaluate the predictive accuracy of human-based morphometric BMPEs. We first assess systemic differences in stature and bi-iliac breadth between humans and bonobos. Due to significant differences in the scaling relationships of body mass and stature between bonobos and humans, we use panel regression to generate a novel BMPE based on living bi-iliac breadth. We then compare the predictive accuracy of two previously published morphometric equations with the novel equation and find that the novel equation predicts bonobo body mass most accurately overall (41 of 56 bonobos predicted within 20% of their observed body mass). The novel BMPE is particularly accurate between 25 and 45 kg. Given differences in limb proportions, pelvic morphology, and body tissue composition between the human reference and bonobo test samples, we find these results promising and evaluate the novel BMPE's potential application to fossil hominins.

中文翻译：

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使用基于人体的形态计量方程预测bo黑猩猩的体重。

灵长类动物的体重随生态，生理和行为特征而变化。这种多功能性和提供洞察动物生命的潜力使体重预测成为古人类学中常见且重要的目标。在人古生物学中，最常用的体重预测方程（BMPE）是“机械的”和“形态的”：单变量或多变量线性回归，将承重骨骼元素的尺寸以及身高和双bi活度作为预测变量，分别。BMPE的精度和准确性取决于多个因素，但是，最明显和最普遍的潜在误差源之一是超出参考样本范围的外推法。在这个研究中，我们使用了需要从刚果民主共和国金沙萨的Lola ya Bonobo保护区外推56-黑猩猩（Pan paniscus）的测试样本来评估基于人的形态计量BMPE的预测准确性。我们首先评估人与bo黑猩猩在身高和双-宽度上的系统差异。由于bo黑猩猩和人类之间体重和身高的比例关系之间存在显着差异，因此我们使用面板回归来基于活的双bread宽度生成新的BMPE。然后，我们将两个以前发布的形态方程与新方程式的预测准确性进行比较，发现新方程式总体上最准确地预测了no黑猩猩的体重（56个56黑猩猩中有41个在其观测到的体重的20％以内预测）。新型BMPE在25至45公斤之间特别准确。