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Wing loading, not terminal velocity, is the best parameter to predict capacity of diaspores for secondary wind dispersal
Lift-off velocity may be the most useful surrogate to measure the secondary dispersal capacity of diaspores. However, the most important diaspore attribute determining diaspore lift-off velocity is unclear. Furthermore, it is not known whether terminal velocity used to characterize the primary dispe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475251/ https://www.ncbi.nlm.nih.gov/pubmed/32242240 http://dx.doi.org/10.1093/jxb/eraa170 |
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author | Liang, Wei Liu, Zhimin Liu, Minghu Qin, Xuanping Baskin, Carol C Baskin, Jerry M Xin, Zhiming Wang, Zhigang Su, Zhi Zhou, Quanlai |
author_facet | Liang, Wei Liu, Zhimin Liu, Minghu Qin, Xuanping Baskin, Carol C Baskin, Jerry M Xin, Zhiming Wang, Zhigang Su, Zhi Zhou, Quanlai |
author_sort | Liang, Wei |
collection | PubMed |
description | Lift-off velocity may be the most useful surrogate to measure the secondary dispersal capacity of diaspores. However, the most important diaspore attribute determining diaspore lift-off velocity is unclear. Furthermore, it is not known whether terminal velocity used to characterize the primary dispersal capacity of diaspores can also be used to predict their secondary wind dispersal capacity. Here, we investigate how diaspore attributes are related to lift-off velocity. Thirty-six species with diaspores differing in mass, shape index, projected area, wing loading, and terminal velocity were used in a wind tunnel to determine the relationship between diaspore attributes and lift-off velocity. We found that diaspore attributes largely explained the variation in lift-off velocity, and wing loading, not terminal velocity, was the best parameter for predicting lift-off velocity of diaspores during secondary wind dispersal. The relative importance of diaspore attributes in determining lift-off velocity was modified by both upwind and downwind slope directions and type of diaspore appendage. These findings allow us to predict diaspore dispersal behaviors using readily available diaspore functional attributes, and they indicate that wing loading is the best proxy for estimating the capacity for secondary dispersal by wind. |
format | Online Article Text |
id | pubmed-7475251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74752512020-09-10 Wing loading, not terminal velocity, is the best parameter to predict capacity of diaspores for secondary wind dispersal Liang, Wei Liu, Zhimin Liu, Minghu Qin, Xuanping Baskin, Carol C Baskin, Jerry M Xin, Zhiming Wang, Zhigang Su, Zhi Zhou, Quanlai J Exp Bot Research Papers Lift-off velocity may be the most useful surrogate to measure the secondary dispersal capacity of diaspores. However, the most important diaspore attribute determining diaspore lift-off velocity is unclear. Furthermore, it is not known whether terminal velocity used to characterize the primary dispersal capacity of diaspores can also be used to predict their secondary wind dispersal capacity. Here, we investigate how diaspore attributes are related to lift-off velocity. Thirty-six species with diaspores differing in mass, shape index, projected area, wing loading, and terminal velocity were used in a wind tunnel to determine the relationship between diaspore attributes and lift-off velocity. We found that diaspore attributes largely explained the variation in lift-off velocity, and wing loading, not terminal velocity, was the best parameter for predicting lift-off velocity of diaspores during secondary wind dispersal. The relative importance of diaspore attributes in determining lift-off velocity was modified by both upwind and downwind slope directions and type of diaspore appendage. These findings allow us to predict diaspore dispersal behaviors using readily available diaspore functional attributes, and they indicate that wing loading is the best proxy for estimating the capacity for secondary dispersal by wind. Oxford University Press 2020-07-06 2020-04-03 /pmc/articles/PMC7475251/ /pubmed/32242240 http://dx.doi.org/10.1093/jxb/eraa170 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Papers Liang, Wei Liu, Zhimin Liu, Minghu Qin, Xuanping Baskin, Carol C Baskin, Jerry M Xin, Zhiming Wang, Zhigang Su, Zhi Zhou, Quanlai Wing loading, not terminal velocity, is the best parameter to predict capacity of diaspores for secondary wind dispersal |
title | Wing loading, not terminal velocity, is the best parameter to predict capacity of diaspores for secondary wind dispersal |
title_full | Wing loading, not terminal velocity, is the best parameter to predict capacity of diaspores for secondary wind dispersal |
title_fullStr | Wing loading, not terminal velocity, is the best parameter to predict capacity of diaspores for secondary wind dispersal |
title_full_unstemmed | Wing loading, not terminal velocity, is the best parameter to predict capacity of diaspores for secondary wind dispersal |
title_short | Wing loading, not terminal velocity, is the best parameter to predict capacity of diaspores for secondary wind dispersal |
title_sort | wing loading, not terminal velocity, is the best parameter to predict capacity of diaspores for secondary wind dispersal |
topic | Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475251/ https://www.ncbi.nlm.nih.gov/pubmed/32242240 http://dx.doi.org/10.1093/jxb/eraa170 |
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