Elliott Marina, Kurki Helen, Weston Darlene A, Collard Mark
Human Evolutionary Studies Program and Department of Archaeology, Simon Fraser University, Burnaby, BC, Canada, V5A 1S6.
Am J Phys Anthropol. 2014 Jun;154(2):201-14. doi: 10.1002/ajpa.22493. Epub 2014 Feb 26.
Body mass estimates are integral to a wide range of inferences in paleoanthropology. Most techniques employ postcranial elements, but predictive equations based on cranial variables have also been developed. Three studies currently provide regression equations for estimating mass from cranial variables, but none of the equations has been tested on samples of known mass. Nor have the equations been compared to each other in terms of performance. Consequently, this study assessed the performance of existing cranial equations using computed tomography scans from a large, documented sample of modern humans of known body mass. Virtual models of the skull were reconstructed and measured using computer software, and the resulting variables were entered into three sets of published regression equations. Estimated and known body masses were then compared. For most equations, prediction errors were high and few individuals were estimated within ±20% of their known mass. Only one equation satisfied the accuracy criteria. In addition, variables that had been previously argued to be good predictors of mass in hominins, including humans, did not estimate mass reliably. These results have important implications for paleoanthropology. In particular, they emphasize the need to develop new equations for estimating fossil hominin body mass from cranial variables.
体重估计在古人类学的广泛推断中不可或缺。大多数技术采用颅后骨骼元素,但基于颅骨变量的预测方程也已被开发出来。目前有三项研究提供了根据颅骨变量估计体重的回归方程,但这些方程均未在已知体重的样本上进行过测试。这些方程在性能方面也未相互比较。因此,本研究使用来自大量有记录的已知体重现代人类样本的计算机断层扫描,评估了现有颅骨方程的性能。使用计算机软件重建并测量了颅骨的虚拟模型,并将所得变量代入三组已发表的回归方程中。然后比较了估计体重和已知体重。对于大多数方程,预测误差很大,只有少数个体的估计体重在其已知体重的±20%范围内。只有一个方程满足准确性标准。此外,先前被认为是包括人类在内的古人类体重良好预测指标的变量,并不能可靠地估计体重。这些结果对古人类学具有重要意义。特别是,它们强调了开发新的根据颅骨变量估计化石古人类体重方程的必要性。