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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: Field, Daniel J., Lynner, Colton, Brown, Christian, Darroch, Simon A. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3843728/
https://www.ncbi.nlm.nih.gov/pubmed/24312392
http://dx.doi.org/10.1371/journal.pone.0082000
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author Field, Daniel J.
Lynner, Colton
Brown, Christian
Darroch, Simon A. F.
author_facet Field, Daniel J.
Lynner, Colton
Brown, Christian
Darroch, Simon A. F.
author_sort Field, Daniel J.
collection PubMed
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.
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spelling pubmed-38437282013-12-05 Skeletal Correlates for Body Mass Estimation in Modern and Fossil Flying Birds Field, Daniel J. Lynner, Colton Brown, Christian Darroch, Simon A. F. PLoS One Research Article 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. Public Library of Science 2013-11-29 /pmc/articles/PMC3843728/ /pubmed/24312392 http://dx.doi.org/10.1371/journal.pone.0082000 Text en © 2013 Field et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Field, Daniel J.
Lynner, Colton
Brown, Christian
Darroch, Simon A. F.
Skeletal Correlates for Body Mass Estimation in Modern and Fossil Flying Birds
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3843728/
https://www.ncbi.nlm.nih.gov/pubmed/24312392
http://dx.doi.org/10.1371/journal.pone.0082000
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