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A nondestructive method of calculating the wing area of insects

Most insects engage in winged flight. Wing loading, that is, the ratio of body mass to total wing area, has been demonstrated to reflect flight maneuverability. High maneuverability is an important survival trait, allowing insects to escape natural enemies and to compete for mates. In some ecologica...

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Autores principales: Yu, Kexin, Reddy, Gadi V. P., Schrader, Julian, Guo, Xuchen, Li, Yirong, Jiao, Yabing, Shi, Peijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975793/
https://www.ncbi.nlm.nih.gov/pubmed/35386866
http://dx.doi.org/10.1002/ece3.8792
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author Yu, Kexin
Reddy, Gadi V. P.
Schrader, Julian
Guo, Xuchen
Li, Yirong
Jiao, Yabing
Shi, Peijian
author_facet Yu, Kexin
Reddy, Gadi V. P.
Schrader, Julian
Guo, Xuchen
Li, Yirong
Jiao, Yabing
Shi, Peijian
author_sort Yu, Kexin
collection PubMed
description Most insects engage in winged flight. Wing loading, that is, the ratio of body mass to total wing area, has been demonstrated to reflect flight maneuverability. High maneuverability is an important survival trait, allowing insects to escape natural enemies and to compete for mates. In some ecological field experiments, there is a need to calculate the wing area of insects without killing them. However, fast, nondestructive estimation of wing area for insects is not available based on past work. The Montgomery equation (ME), which assumes a proportional relationship between leaf area and the product of leaf length and width, is frequently used to calculate leaf area of plants, in crops with entire linear, lanceolate leaves. Recently, the ME was proved to apply to leaves with more complex shapes from plants that do not have any needle leaves. Given that the wings of insects are similar in shape to broad leaves, we tested the validity of the ME approach in calculating the wing area of insects using three species of cicadas common in eastern China. We compared the actual area of the cicadas’ wings with the estimates provided by six potential models used for wing area calculation, and we found that the ME performed best, based on the trade‐off between model structure and goodness of fit. At the species level, the estimates for the proportionality coefficients of ME for three cicada species were 0.686, 0.693, and 0.715, respectively. There was a significant difference in the proportionality coefficients between any two species. Our method provides a simple and powerful approach for the nondestructive estimation of insect wing area, which is also valuable in quantifying wing morphological features of insects. The present study provides a nondestructive approach to estimating the wing area of insects, allowing them to be used in mark and recapture experiments.
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spelling pubmed-89757932022-04-05 A nondestructive method of calculating the wing area of insects Yu, Kexin Reddy, Gadi V. P. Schrader, Julian Guo, Xuchen Li, Yirong Jiao, Yabing Shi, Peijian Ecol Evol Research Articles Most insects engage in winged flight. Wing loading, that is, the ratio of body mass to total wing area, has been demonstrated to reflect flight maneuverability. High maneuverability is an important survival trait, allowing insects to escape natural enemies and to compete for mates. In some ecological field experiments, there is a need to calculate the wing area of insects without killing them. However, fast, nondestructive estimation of wing area for insects is not available based on past work. The Montgomery equation (ME), which assumes a proportional relationship between leaf area and the product of leaf length and width, is frequently used to calculate leaf area of plants, in crops with entire linear, lanceolate leaves. Recently, the ME was proved to apply to leaves with more complex shapes from plants that do not have any needle leaves. Given that the wings of insects are similar in shape to broad leaves, we tested the validity of the ME approach in calculating the wing area of insects using three species of cicadas common in eastern China. We compared the actual area of the cicadas’ wings with the estimates provided by six potential models used for wing area calculation, and we found that the ME performed best, based on the trade‐off between model structure and goodness of fit. At the species level, the estimates for the proportionality coefficients of ME for three cicada species were 0.686, 0.693, and 0.715, respectively. There was a significant difference in the proportionality coefficients between any two species. Our method provides a simple and powerful approach for the nondestructive estimation of insect wing area, which is also valuable in quantifying wing morphological features of insects. The present study provides a nondestructive approach to estimating the wing area of insects, allowing them to be used in mark and recapture experiments. John Wiley and Sons Inc. 2022-04-01 /pmc/articles/PMC8975793/ /pubmed/35386866 http://dx.doi.org/10.1002/ece3.8792 Text en © 2022 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 Research Articles
Yu, Kexin
Reddy, Gadi V. P.
Schrader, Julian
Guo, Xuchen
Li, Yirong
Jiao, Yabing
Shi, Peijian
A nondestructive method of calculating the wing area of insects
title A nondestructive method of calculating the wing area of insects
title_full A nondestructive method of calculating the wing area of insects
title_fullStr A nondestructive method of calculating the wing area of insects
title_full_unstemmed A nondestructive method of calculating the wing area of insects
title_short A nondestructive method of calculating the wing area of insects
title_sort nondestructive method of calculating the wing area of insects
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975793/
https://www.ncbi.nlm.nih.gov/pubmed/35386866
http://dx.doi.org/10.1002/ece3.8792
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