Skeletal correlates for body mass estimation in modern and fossil flying birds.

Field, D. J. and Lynner, C and Brown, C and Darroch, SAF (2013) Skeletal correlates for body mass estimation in modern and fossil flying birds. PLoS ONE, 8 (11). e82000. ISSN eISSN-1545-7885; ISSN-1544-9173 DOI

[img] Text
journal.pone.0082000.PDF - Published Version
Available under License Creative Commons Attribution.

Download (22MB)
Official URL:


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.

Item Type: Article
Uncontrolled Keywords: NILAREP
Subjects: 04 - Palaeobiology
Divisions: 04 - Palaeobiology
Journal or Publication Title: PLoS ONE
Volume: 8
Page Range: e82000
Identification Number:
Depositing User: Sarah Humbert
Date Deposited: 13 Dec 2019 11:28
Last Modified: 13 Dec 2019 11:28

Actions (login required)

View Item View Item

About cookies