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

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 rarel...

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Autores principales: Daniel J Field, Colton Lynner, Christian Brown, Simon A F Darroch
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Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/c85f5774149545c9997543f056f1c9ec
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spelling oai:doaj.org-article:c85f5774149545c9997543f056f1c9ec2021-11-18T08:44:07ZSkeletal correlates for body mass estimation in modern and fossil flying birds.1932-620310.1371/journal.pone.0082000https://doaj.org/article/c85f5774149545c9997543f056f1c9ec2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24312392/?tool=EBIhttps://doaj.org/toc/1932-6203Scaling 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.Daniel J FieldColton LynnerChristian BrownSimon A F DarrochPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e82000 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Daniel J Field
Colton Lynner
Christian Brown
Simon A F Darroch
Skeletal correlates for body mass estimation in modern and fossil flying birds.
description 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.
format article
author Daniel J Field
Colton Lynner
Christian Brown
Simon A F Darroch
author_facet Daniel J Field
Colton Lynner
Christian Brown
Simon A F Darroch
author_sort Daniel J Field
title Skeletal correlates for body mass estimation in modern and fossil flying birds.
title_short Skeletal correlates for body mass estimation in modern and fossil flying birds.
title_full Skeletal correlates for body mass estimation in modern and fossil flying birds.
title_fullStr Skeletal correlates for body mass estimation in modern and fossil flying birds.
title_full_unstemmed Skeletal correlates for body mass estimation in modern and fossil flying birds.
title_sort skeletal correlates for body mass estimation in modern and fossil flying birds.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/c85f5774149545c9997543f056f1c9ec
work_keys_str_mv AT danieljfield skeletalcorrelatesforbodymassestimationinmodernandfossilflyingbirds
AT coltonlynner skeletalcorrelatesforbodymassestimationinmodernandfossilflyingbirds
AT christianbrown skeletalcorrelatesforbodymassestimationinmodernandfossilflyingbirds
AT simonafdarroch skeletalcorrelatesforbodymassestimationinmodernandfossilflyingbirds
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