Estimating fossil hominin body mass from cranial variables: An assessment using CT data from modern humans of known body mass. Issue 2 (26th February 2014)
- Record Type:
- Journal Article
- Title:
- Estimating fossil hominin body mass from cranial variables: An assessment using CT data from modern humans of known body mass. Issue 2 (26th February 2014)
- Main Title:
- Estimating fossil hominin body mass from cranial variables: An assessment using CT data from modern humans of known body mass
- Authors:
- Elliott, Marina
Kurki, Helen
Weston, Darlene A.
Collard, Mark - Abstract:
- <abstract abstract-type="main"> <title>ABSTRACT</title> <p>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. Am J Phys Anthropol 154:201–214, 2014. © 2014 Wiley Periodicals, Inc.</p><abstract abstract-type="main"> <title>ABSTRACT</title> <p>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. Am J Phys Anthropol 154:201–214, 2014. © 2014 Wiley Periodicals, Inc.</p> </abstract> … (more)
- Is Part Of:
- American journal of physical anthropology. Volume 154:Issue 2(2014)
- Journal:
- American journal of physical anthropology
- Issue:
- Volume 154:Issue 2(2014)
- Issue Display:
- Volume 154, Issue 2 (2014)
- Year:
- 2014
- Volume:
- 154
- Issue:
- 2
- Issue Sort Value:
- 2014-0154-0002-0000
- Page Start:
- 201
- Page End:
- 214
- Publication Date:
- 2014-02-26
- Subjects:
- Physical anthropology -- Periodicals
Anthropology -- Periodicals
Anthropologie physique -- Périodiques
599.9 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/ajpa.22493 ↗
- Languages:
- English
- ISSNs:
- 0002-9483
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0832.000000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 4142.xml