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Web databases of feather photographs are useful tools for avian morphometry studies

1. Wing area, wing loading, and aspect ratio are key variables for studies of avian comparative ecology, despite the complexity of measuring wing characteristics in living and museum specimens. The systematic databases of feather photographs available on the Internet may offer an alternative way of...

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Autores principales: Malo, Juan E., Mata, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216968/
https://www.ncbi.nlm.nih.gov/pubmed/34188843
http://dx.doi.org/10.1002/ece3.7600
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author Malo, Juan E.
Mata, Cristina
author_facet Malo, Juan E.
Mata, Cristina
author_sort Malo, Juan E.
collection PubMed
description 1. Wing area, wing loading, and aspect ratio are key variables for studies of avian comparative ecology, despite the complexity of measuring wing characteristics in living and museum specimens. The systematic databases of feather photographs available on the Internet may offer an alternative way of obtaining such morphometric data. Here, we evaluate whether measurements of scanned feathers from web photograph databases may offer reliable estimates of avian morphometry. 2. Published data on wing area were obtained for 317 bird species and feather measurements from web photograph databases for 225 of them. A variable termed “lift generation area,” a proxy for wing area, was calculated for each species on the basis of the mean length of the five distal secondary feathers and wingspan data from literature. The fit between this proposed variable and data extracted from the literature was examined by correlation, employing linear regression to explore the lack of fit among species. 3. “Lift generation area” proved to be highly informative as a proxy for wing area for the study species as a whole (R (2) > .98). Discrepancies observed between species were strongly negatively associated with the size of the original sample used to calculate wing area (p = .001) and, to a lesser extent, with bird size (p = .023), but not with aspect ratio. It was also found that the mean value of the mismatch between “lift generation area” and wing area (13.1%) among the study species as a whole was of similar magnitude to that found between sources of bibliographic wing area data for the 64 species for which two published estimates of this variable were available (15.3%). 4. We conclude that measurements made from feather photograph databases are reliable for use in studies of avian comparative ecology, enabling the inclusion of biomechanical parameters of many more species than featured at present.
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spelling pubmed-82169682021-06-28 Web databases of feather photographs are useful tools for avian morphometry studies Malo, Juan E. Mata, Cristina Ecol Evol Original Research 1. Wing area, wing loading, and aspect ratio are key variables for studies of avian comparative ecology, despite the complexity of measuring wing characteristics in living and museum specimens. The systematic databases of feather photographs available on the Internet may offer an alternative way of obtaining such morphometric data. Here, we evaluate whether measurements of scanned feathers from web photograph databases may offer reliable estimates of avian morphometry. 2. Published data on wing area were obtained for 317 bird species and feather measurements from web photograph databases for 225 of them. A variable termed “lift generation area,” a proxy for wing area, was calculated for each species on the basis of the mean length of the five distal secondary feathers and wingspan data from literature. The fit between this proposed variable and data extracted from the literature was examined by correlation, employing linear regression to explore the lack of fit among species. 3. “Lift generation area” proved to be highly informative as a proxy for wing area for the study species as a whole (R (2) > .98). Discrepancies observed between species were strongly negatively associated with the size of the original sample used to calculate wing area (p = .001) and, to a lesser extent, with bird size (p = .023), but not with aspect ratio. It was also found that the mean value of the mismatch between “lift generation area” and wing area (13.1%) among the study species as a whole was of similar magnitude to that found between sources of bibliographic wing area data for the 64 species for which two published estimates of this variable were available (15.3%). 4. We conclude that measurements made from feather photograph databases are reliable for use in studies of avian comparative ecology, enabling the inclusion of biomechanical parameters of many more species than featured at present. John Wiley and Sons Inc. 2021-06-02 /pmc/articles/PMC8216968/ /pubmed/34188843 http://dx.doi.org/10.1002/ece3.7600 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Malo, Juan E.
Mata, Cristina
Web databases of feather photographs are useful tools for avian morphometry studies
title Web databases of feather photographs are useful tools for avian morphometry studies
title_full Web databases of feather photographs are useful tools for avian morphometry studies
title_fullStr Web databases of feather photographs are useful tools for avian morphometry studies
title_full_unstemmed Web databases of feather photographs are useful tools for avian morphometry studies
title_short Web databases of feather photographs are useful tools for avian morphometry studies
title_sort web databases of feather photographs are useful tools for avian morphometry studies
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216968/
https://www.ncbi.nlm.nih.gov/pubmed/34188843
http://dx.doi.org/10.1002/ece3.7600
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