Slik, F. orcid.org/0000-0003-3988-7019, Pinho, B. X. orcid.org/0000-0002-6588-3575, Griffith, D. M. et al. (111 more authors) (2024) Wind dispersed tree species have greater maximum height. Global Ecology and Biogeography, 33 (9). e13878. ISSN 1466-822X
Abstract
Aim We test the hypothesis that wind dispersal is more common among emergent tree species given that being tall increases the likelihood of effective seed dispersal.
Location Americas, Africa and the Asia-Pacific.
Time period 1970–2020.
Major taxa studied Gymnosperms and Angiosperms.
Methods We used a dataset consisting of tree inventories from 2821 plots across three biogeographic regions (Americas, Africa and Asia-Pacific), including dry and wet forests, to determine the maximum height and dispersal strategy of 5314 tree species. A web search was used to determine whether species were wind-dispersed. We compared differences in tree species maximum height between biogeographic regions and examined the relationship between species maximum height and wind dispersal using logistic regression. We also tested whether emergent tree species, that is species with at least one individual taller than the 95% height percentile in one or more plots, were disproportionally wind dispersed in dry and wet forests within each biogeographic region.
Results Our dataset provides maximum height values for 5314 tree species, of which more than half (2914) had no record of this trait in existing global databases. We found that, on average, tree species in the Americas have lower maximum heights compared to those in Africa and the Asia Pacific. The probability of wind dispersal increased significantly with tree species maximum height and was significantly higher among emergent than non-emergent tree species in both dry and wet forests in all three biogeographic regions.
Main conclusion Wind dispersal is more prevalent in tall, emergent tree species than in non-emergent species and may thus be an important factor in the evolution of tree species maximum height. By providing the most comprehensive dataset so far of tree species maximum height and wind dispersal strategies, this study paves the way for advancing our understanding of the eco-evolutionary drivers of tree size.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2024 John Wiley & Sons Ltd. This is the peer reviewed version of the following article: Slik, F., Pinho, B. X., Griffith, D. M., Webb, E., Raghubanshi, A. S., Quaresma, A. C., Cuni Sanchez, A., Sultana, A., Souza, A. F., Ensslin, A., Hemp, A., Lowe, A., Marshall, A. R., Anitha, K., Lykke, A. M., Armadyanto, Mansor, A., Honam, A. K., Poulsen, A. D., … Hemati, Z. (2024). Wind dispersed tree species have greater maximum height. Global Ecology and Biogeography, 33, e13878, which has been published in final form at https://doi.org/10.1111/geb.13878. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. |
Keywords: | emergent trees, evolution, functional traits, seed dispersal,tree species maximum height, wind dispersal |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Jun 2024 14:07 |
Last Modified: | 30 Sep 2024 13:52 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/geb.13878 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:213096 |
Download
Filename: Main text revision 2.pdf
