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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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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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0082000</identifier><identifier>PMID: 24312392</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Anatidae ; Animals ; Birds ; Body mass ; Body size ; Body Weight ; Bones ; Correlation analysis ; Error analysis ; Estimates ; Evolution ; Flight ; Flight, Animal ; Fossils ; Geology ; Geophysics ; Gruiformes ; Humerus ; Lower bounds ; Paleobiology ; Paleontology ; Phylogenetics ; Robustness (mathematics) ; Scaling ; Statistical analysis ; Statistics ; Studies ; Zoology</subject><ispartof>PloS one, 2013-11, Vol.8 (11), p.e82000-e82000</ispartof><rights>2013 Field et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/3.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Field et al 2013 Field et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a549t-27a632e29845dff24cea40d701a6deab56e9e9a771926c123971be709b076a0f3</citedby><cites>FETCH-LOGICAL-a549t-27a632e29845dff24cea40d701a6deab56e9e9a771926c123971be709b076a0f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3843728/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3843728/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23865,27923,27924,53790,53792,79371,79372</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24312392$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Iwaniuk, Andrew</contributor><creatorcontrib>Field, Daniel J</creatorcontrib><creatorcontrib>Lynner, Colton</creatorcontrib><creatorcontrib>Brown, Christian</creatorcontrib><creatorcontrib>Darroch, Simon A F</creatorcontrib><title>Skeletal correlates for body mass estimation in modern and fossil flying birds</title><title>PloS one</title><addtitle>PLoS One</addtitle><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.</description><subject>Anatidae</subject><subject>Animals</subject><subject>Birds</subject><subject>Body mass</subject><subject>Body size</subject><subject>Body Weight</subject><subject>Bones</subject><subject>Correlation analysis</subject><subject>Error analysis</subject><subject>Estimates</subject><subject>Evolution</subject><subject>Flight</subject><subject>Flight, Animal</subject><subject>Fossils</subject><subject>Geology</subject><subject>Geophysics</subject><subject>Gruiformes</subject><subject>Humerus</subject><subject>Lower bounds</subject><subject>Paleobiology</subject><subject>Paleontology</subject><subject>Phylogenetics</subject><subject>Robustness (mathematics)</subject><subject>Scaling</subject><subject>Statistical 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one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Field, Daniel J</au><au>Lynner, Colton</au><au>Brown, Christian</au><au>Darroch, Simon A F</au><au>Iwaniuk, Andrew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Skeletal correlates for body mass estimation in modern and fossil flying birds</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-11-29</date><risdate>2013</risdate><volume>8</volume><issue>11</issue><spage>e82000</spage><epage>e82000</epage><pages>e82000-e82000</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24312392</pmid><doi>10.1371/journal.pone.0082000</doi><oa>free_for_read</oa></addata></record> |
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subjects | Anatidae Animals Birds Body mass Body size Body Weight Bones Correlation analysis Error analysis Estimates Evolution Flight Flight, Animal Fossils Geology Geophysics Gruiformes Humerus Lower bounds Paleobiology Paleontology Phylogenetics Robustness (mathematics) Scaling Statistical analysis Statistics Studies Zoology |
title | Skeletal correlates for body mass estimation in modern and fossil flying birds |
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