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Beyond species means – the intraspecific contribution to global wood density variation

Fabian Jörg Fischer*, Jérôme Chave*, Amy Zanne, Tommaso Jucker, Alex Fajardo, Adeline Fayolle, Renato Augusto Ferreira de Lima, Ghislain Vieilledent, Hans Beeckman, Wannes Hubau, Tom De Mil, Daniel Wallenus, Ana María Aldana, Esteban Alvarez‐Dávila, Luciana F. Alves, Deborah M. G. Apgaua, Fátima Arcanjo, Jean‐François Bastin, Andrii Bilous, Philippe BirnbaumVolodymyr Blyshchyk, Joli Borah, Vanessa Boukili, J. Julio Camarero, Luisa Casas, Roberto Cazzolla Gatti, Jeffrey Q. Chambers, Ezequiel Chimbioputo Fabiano, Brendan Choat, Georgina Conti

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

5 Citations (Scopus)

Abstract

Wood density is central for estimating vegetation carbon storage and a plant functional trait of great ecological and evolutionary importance. However, the global extent of wood density variation is unclear, especially at the intraspecific level. We assembled the most comprehensive wood density collection to date, including 109 626 records from 16 829 plant species across woody life forms and biomes (GWDD v.2, available here: doi: 10.5281/zenodo.16919509). Using the GWDD v.2, we explored the sources of wood density variation within individuals, within species and across environmental gradients. Intraspecific variation accounted for c. 15% of overall wood density variation (SD = 0.068 g cm−3). Variance was 50% smaller in sapwood than heartwood, and 30% smaller in branchwood than trunkwood. Individuals in extreme environments (dry, hot and acidic soils) had higher wood density than conspecifics elsewhere (+0.02 g cm−3, c. 4% of the mean). Intraspecific environmental effects strongly tracked interspecific patterns (r = 0.83) but were 70–80% smaller and varied considerably among taxa. Individual plant wood density was difficult to predict (root mean square error > 0.08 g cm−3; single-measurement R2 = 0.59). We recommend (1) systematic sampling of multiple individuals and tissues for local applications, and (2) expanded taxonomic coverage combined with integrative models for robust estimates across ecological scales.
Original languageEnglish
Pages (from-to)2630-2651
Number of pages22
JournalNew Phytologist
Volume249
Issue number6
Early online date16 Jan 2026
DOIs
Publication statusPublished - 1 Mar 2026

Bibliographical note

Publisher Copyright:
© 2026 The Author(s). New Phytologist © 2026 New Phytologist Foundation.

Keywords

  • aridity
  • functional trait
  • intraspecific variation
  • hierarchical modelling
  • biomass
  • wood density

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