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Avian Wing Proportions and Flight Styles: First Step towards Predicting the Flight Modes of Mesozoic Birds

Overview of attention for article published in PLOS ONE, December 2011
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Title
Avian Wing Proportions and Flight Styles: First Step towards Predicting the Flight Modes of Mesozoic Birds
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028672
Pubmed ID
Authors

Xia Wang, Alistair J. McGowan, Gareth J. Dyke

Abstract

We investigated the relationship between wing element proportions and flight mode in a dataset of living avian species to provide a framework for making basic estimates of the range of flight styles evolved by Mesozoic birds. Our results show that feather length (f(prim)) and total arm length (ta) (sum of the humerus, ulna and manus length) ratios differ significantly between four flight style groups defined and widely used for living birds and as a result are predictive for fossils. This was confirmed using multivariate ordination analyses, with four wing elements (humerus, ulna/radius, manus, primary feathers), that discriminate the four broad flight styles within living birds. Among the variables tested, manus length is closely correlated with wing size, yet is the poorest predictor for flight style, suggesting that the shape of the bones in the hand wing is most important in determining flight style. Wing bone thickness (shape) must vary with wing beat strength, with weaker forces requiring less bone. Finally, we show that by incorporating data from Mesozoic birds, multivariate ordination analyses can be used to predict the flight styles of fossils.

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Geographical breakdown

Country Count As %
United States 2 2%
New Zealand 1 <1%
Germany 1 <1%
Romania 1 <1%
Unknown 110 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 22%
Student > Bachelor 22 19%
Student > Master 18 16%
Researcher 12 10%
Student > Doctoral Student 9 8%
Other 10 9%
Unknown 19 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 51%
Earth and Planetary Sciences 18 16%
Environmental Science 5 4%
Engineering 4 3%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 3 3%
Unknown 23 20%