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Global relationships in tree functional traits

  • Due to massive energetic investments in woody support structures, trees are subject to unique physiological, mechanical, and ecological pressures not experienced by herbaceous plants. Despite a wealth of studies exploring trait relationships across the entire plant kingdom, the dominant traits underpinning these unique aspects of tree form and function remain unclear. Here, by considering 18 functional traits, encompassing leaf, seed, bark, wood, crown, and root characteristics, we quantify the multidimensional relationships in tree trait expression. We find that nearly half of trait variation is captured by two axes: one reflecting leaf economics, the other reflecting tree size and competition for light. Yet these orthogonal axes reveal strong environmental convergence, exhibiting correlated responses to temperature, moisture, and elevation. By subsequently exploring multidimensional trait relationships, we show that the full dimensionality of trait space is captured by eight distinct clusters, each reflecting a unique aspect of tree form and function. Collectively, this work identifies a core set of traits needed to quantify global patterns in functional biodiversity, and it contributes to our fundamental understanding of the functioning of forests worldwide.
Metadaten
Author:Daniel S. MaynardORCiDGND, Lalasia Bialic-MurphyORCiD, Constantin ZohnerORCiD, Colin Averill, Johan van den HoogenORCiD, Haozhi MaORCiD, Lidong MoORCiD, Gabriel Reuben SmithORCiD, Alicia T. R. AcostaORCiD, Isabelle AubinORCiD, Erika BerenguerORCiD, Coline C. F. BoonmanORCiD, Jane A. CatfordORCiD, Bruno E. L. CeraboliniORCiD, Arildo S. DiasORCiD, Andrés González-Melo, Peter HietzORCiD, Christopher H. LuskORCiD, Akira S. MoriORCiD, Ülo NiinemetsORCiDGND, Valério D. PillarORCiD, Bruno X. PinhoORCiD, Julieta A. RosellORCiD, Frank SchurrORCiDGND, Serge N. SheremetevORCiD, Ana Carolina Feldenheimer da SilvaORCiDGND, Ênio SosinskiORCiD, Peter M. van BodegomORCiDGND, Evan WeiherORCiD, Gerhard Bönisch, Jens KattgeORCiDGND, Thomas Ward CrowtherORCiDGND
URN:urn:nbn:de:hebis:30:3-632719
DOI:https://doi.org/10.1038/s41467-022-30888-2
ISSN:2041-1723
Parent Title (English):Nature Communications
Publisher:Nature Publishing Group UK
Place of publication:[London]
Document Type:Article
Language:English
Date of Publication (online):2022/06/08
Date of first Publication:2022/06/08
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/12/04
Tag:Biogeography; Ecology; Ecophysiology
Volume:13
Issue:art. 3185
Article Number:3185
Page Number:12
First Page:1
Last Page:12
Note:
The imputed trait data used in this study have been deposited in a dedicated GitHub repository with https://doi.org/10.5281/zenodo.6564051 (https://github.com/dsmaynard/tree_traits), along with the cleaned phylogenetic eigenvectors from the seed plant phylogeny of Smith & Brown (2018) and corresponding tree species names matched using BGCI GlobalTreeSearch database v1.3. The raw TRY trait data are not available due to data privacy and sharing restrictions, but can be obtained by making a data request to the TRY Plant Trait Database (https://www.try-db.org/TryWeb/).
Note:
The code for replicating the central findings of this paper is available at https://github.com/dsmaynard/tree_traits (https://doi.org/10.5281/zenodo.6564051).
HeBIS-PPN:516702343
Institutes:Geowissenschaften / Geographie
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
5 Naturwissenschaften und Mathematik / 58 Pflanzen (Botanik) / 580 Pflanzen (Botanik)
3 Sozialwissenschaften / 33 Wirtschaft / 333 Boden- und Energiewirtschaft / 333.7 Natürliche Ressourcen, Energie und Umwelt
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International