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Ecological drivers of global gradients in avian dispersal inferred from wing morphology
An organism’s ability to disperse influences many fundamental processes, from speciation and geographical range expansion to community assembly. However, the patterns and underlying drivers of variation in dispersal across species remain unclear, partly because standardised estimates of dispersal ab...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235233/ https://www.ncbi.nlm.nih.gov/pubmed/32424113 http://dx.doi.org/10.1038/s41467-020-16313-6 |
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author | Sheard, Catherine Neate-Clegg, Montague H. C. Alioravainen, Nico Jones, Samuel E. I. Vincent, Claire MacGregor, Hannah E. A. Bregman, Tom P. Claramunt, Santiago Tobias, Joseph A. |
author_facet | Sheard, Catherine Neate-Clegg, Montague H. C. Alioravainen, Nico Jones, Samuel E. I. Vincent, Claire MacGregor, Hannah E. A. Bregman, Tom P. Claramunt, Santiago Tobias, Joseph A. |
author_sort | Sheard, Catherine |
collection | PubMed |
description | An organism’s ability to disperse influences many fundamental processes, from speciation and geographical range expansion to community assembly. However, the patterns and underlying drivers of variation in dispersal across species remain unclear, partly because standardised estimates of dispersal ability are rarely available. Here we present a global dataset of avian hand-wing index (HWI), an estimate of wing shape widely adopted as a proxy for dispersal ability in birds. We show that HWI is correlated with geography and ecology across 10,338 (>99%) species, increasing at higher latitudes and with migration, and decreasing with territoriality. After controlling for these effects, the strongest predictor of HWI is temperature variability (seasonality), with secondary effects of diet and habitat type. Finally, we also show that HWI is a strong predictor of geographical range size. Our analyses reveal a prominent latitudinal gradient in HWI shaped by a combination of environmental and behavioural factors, and also provide a global index of avian dispersal ability for use in community ecology, macroecology, and macroevolution. |
format | Online Article Text |
id | pubmed-7235233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72352332020-05-20 Ecological drivers of global gradients in avian dispersal inferred from wing morphology Sheard, Catherine Neate-Clegg, Montague H. C. Alioravainen, Nico Jones, Samuel E. I. Vincent, Claire MacGregor, Hannah E. A. Bregman, Tom P. Claramunt, Santiago Tobias, Joseph A. Nat Commun Article An organism’s ability to disperse influences many fundamental processes, from speciation and geographical range expansion to community assembly. However, the patterns and underlying drivers of variation in dispersal across species remain unclear, partly because standardised estimates of dispersal ability are rarely available. Here we present a global dataset of avian hand-wing index (HWI), an estimate of wing shape widely adopted as a proxy for dispersal ability in birds. We show that HWI is correlated with geography and ecology across 10,338 (>99%) species, increasing at higher latitudes and with migration, and decreasing with territoriality. After controlling for these effects, the strongest predictor of HWI is temperature variability (seasonality), with secondary effects of diet and habitat type. Finally, we also show that HWI is a strong predictor of geographical range size. Our analyses reveal a prominent latitudinal gradient in HWI shaped by a combination of environmental and behavioural factors, and also provide a global index of avian dispersal ability for use in community ecology, macroecology, and macroevolution. Nature Publishing Group UK 2020-05-18 /pmc/articles/PMC7235233/ /pubmed/32424113 http://dx.doi.org/10.1038/s41467-020-16313-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sheard, Catherine Neate-Clegg, Montague H. C. Alioravainen, Nico Jones, Samuel E. I. Vincent, Claire MacGregor, Hannah E. A. Bregman, Tom P. Claramunt, Santiago Tobias, Joseph A. Ecological drivers of global gradients in avian dispersal inferred from wing morphology |
title | Ecological drivers of global gradients in avian dispersal inferred from wing morphology |
title_full | Ecological drivers of global gradients in avian dispersal inferred from wing morphology |
title_fullStr | Ecological drivers of global gradients in avian dispersal inferred from wing morphology |
title_full_unstemmed | Ecological drivers of global gradients in avian dispersal inferred from wing morphology |
title_short | Ecological drivers of global gradients in avian dispersal inferred from wing morphology |
title_sort | ecological drivers of global gradients in avian dispersal inferred from wing morphology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235233/ https://www.ncbi.nlm.nih.gov/pubmed/32424113 http://dx.doi.org/10.1038/s41467-020-16313-6 |
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