Canopy functional trait variation across Earth’s tropical forests
| dc.contributor.affiliation | Instituto de la Naturaleza, Tierra y Energía (INTE-PUCP) | |
| dc.contributor.author | Aguirre-Gutiérrez, J. | |
| dc.contributor.author | Rifai, S.W. | |
| dc.contributor.author | Deng, X. | |
| dc.contributor.author | ter Steege, H. | |
| dc.contributor.author | Thomson, E. | |
| dc.contributor.author | Corral-Rivas, J.J. | |
| dc.contributor.author | Guimarães, A.F. | |
| dc.contributor.author | Müller, S. | |
| dc.contributor.author | Klipel, J. | |
| dc.contributor.author | Fauset, S. | |
| dc.contributor.author | Resende, A.F. | |
| dc.contributor.author | Wallin, G. | |
| dc.contributor.author | Joly, C.A. | |
| dc.contributor.author | Abernethy, K. | |
| dc.contributor.author | Adu-Bredu, S. | |
| dc.contributor.author | Alexandre Silva, C. | |
| dc.contributor.author | de Oliveira, E.A. | |
| dc.date.accessioned | 2026-03-13T16:57:48Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Abstract Tropical forest canopies are the biosphere’s most concentrated atmospheric interface for carbon, water and energy 1,2 . However, in most Earth System Models, the diverse and heterogeneous tropical forest biome is represented as a largely uniform ecosystem with either a singular or a small number of fixed canopy ecophysiological properties 3 . This situation arises, in part, from a lack of understanding about how and why the functional properties of tropical forest canopies vary geographically 4 . Here, by combining field-collected data from more than 1,800 vegetation plots and tree traits with satellite remote-sensing, terrain, climate and soil data, we predict variation across 13 morphological, structural and chemical functional traits of trees, and use this to compute and map the functional diversity of tropical forests. Our findings reveal that the tropical Americas, Africa and Asia tend to occupy different portions of the total functional trait space available across tropical forests. Tropical American forests are predicted to have 40% greater functional richness than tropical African and Asian forests. Meanwhile, African forests have the highest functional divergence—32% and 7% higher than that of tropical American and Asian forests, respectively. An uncertainty analysis highlights priority regions for further data collection, which would refine and improve these maps. Our predictions represent a ground-based and remotely enabled global analysis of how and why the functional traits of tropical forest canopies vary across space. | |
| dc.description.sponsorship | Funding: J.A.-G. was funded by the Natural Environment Research Council (NERC) under an Independent Research Fellowship (NE/T011084/1), the NERC Pushing the Frontiers (NE/Z504191/1) and the Oxford University John Fell Fund (10667). This paper is a product of several vegetation data networks including the GEM network (gem.tropicalforests.ox.ac.uk), RAINFOR, MONAFOR and the ForestPlots.net meta-network. This manuscript is an output of ForestPlots.net research projects 109 and 184, ‘Predicting plant functional traits across the tropics'. ForestPlots.net is a meta-network and cyber-initiative developed at the University of Leeds that unites permanent plot records and supports tropical forest scientists. We acknowledge the contributions of the ForestPlots.net Collaboration and Data Request Committee (T.R.B., E. Honorio Coronado, A. Levesley, O.L.P., B.S.M., B. Sonké, C. Ewango, J. Muledi, S. Lewis, L. Qie) for facilitating this project and associated data management. The development of ForestPlots.net and data curation has been funded by multiple grants including NE/B503384/1, NE/N012542/1 – ‘BIO-RED', ERC Advanced Grant 291585 – ‘T-FORCES', NE/F005806/1 – ‘AMAZONICA', NE/N004655/1 – ‘TREMOR', NERC New Investigators Awards, the Gordon and Betty Moore Foundation (‘RAINFOR', ‘MonANPeru'), ERC Starter Grant 758873 – ‘TreeMort', and from EU Framework 5, 6 and 7. Global trait collection and trait analyses for GEM were funded by an ERC Advanced Investigator Award (GEM-TRAIT: 321131) to Y.M. under the European Union's Seventh Framework Programme (FP7/2007–2013), with additional support from NERC grant NE/D014174/1 and NE/J022616/1 for trait work in Peru, NERC grant ECOFOR (NE/K016385/1) for trait work in Santarem, NERC grant BALI (NE/K016369/1) for plot and trait work in Malaysia and ERC advanced grant T-FORCES (291585) to O.L.P. and Y.M. for trait work in Australia. Plot set-up in Ghana and Gabon was funded by NERC grant NE/I014705/1 and by the Royal Society–Leverhulme Africa Capacity Building Programme. The Malaysia campaign was also funded by NERC grant NE/K016253/1. Plot inventories in Peru were supported by funding from the US National Science Foundation (NSF) Long-Term Research in Environmental Biology program (LTREB; DEB 1754647) and the Gordon and Betty Moore Foundation Andes–Amazon Program. Plot inventories in Nova Xavantina (Brazil) were supported by the National Council for Scientific and Technological Development (CNPq), Long Term Ecological Research Program (PELD), process 441244/2016-5 and the Foundation of Research Support of Mato Grosso (FAPEMAT), Project ReFlor, process 589267/2016. The network of long-term permanent plots in Mexico, MONAFOR, is supported by the National Forest Council (CONAFOR), National Council of Humanities Science and Technology (CONAHCYT) and Council of Science and Technology of the State of Durango (COCYTED). Trait data acquisition in Gabon was supported by the Gabon National Parks Agency. H.Z-Z. was supported by NERC NE/T011084/1 grant to J.A.-G. and by NGEE–Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. S.A.-B. acknowledges funding from the Leverhulme Trust—Royal Society of the United Kingdom (A130026) under the water stress, ecosystem function and tree functional diversity in tropical African forests project. C.A.J. acknowledges support from the Brazilian National Research Council–CNPq (PELD process 403710/2012–0), NERC and the State of São Paulo Research Foundation (FAPESP) as part of the projects Functional Gradient, PELD/BIOTA and ECOFOR (processes 2003/12595-7, 2012/51509-8 and 2012/51872-5, within the BIOTA/FAPESP Program–the Biodiversity Virtual Institute ( www.biota.org.br ); COTEC/IF 002.766/2013 and 010.631/2013 permits. B.S.M. was supported by CNPq–PELD projects (441244/2016-5 and 441572/2020-0) and CAPES (136277/2017-0). M.S. acknowledges funding for the Andes Biodiversity and Ecosystem Research Group (ABERG) plot network from the US NSF LTREB (1754647), the Gordon and Betty Moore Foundation's Andes to Amazon Initiative and RAINFOR. E.B., J.B. and Y.M. acknowledge support from NERC under projects NE/K016431/1 and NE/S01084X/1. Y.M. is supported by the Frank Jackson Foundation. A.F.R. acknowledges support from FAPESP 22/14605-0 and 19/24049-5; G.W. from the Swedish Research Council grant 2021-05265 and the Swedish strategic research area ‘Biodiversity and Ecosystem services in a Changing Climate' (BECC; http://www.becc.lu.se/ ); E.A.d.O. from CNPq, Brazil 153023/2022-8 and 150666/2023-3; D.R.A.A. from FEALQ; K.B. from the Instituto Nacional de Ci\u00EAncia e Tecnología (INCT) in Ecology, Evolution and Conservation of Biodiversity, from MCTIC–CNPq 465610/2014-5 and from FAPEG grant 201810267000023; R.B.d.L. from UEAP; J.C.D. from COL-TREE; L.C. from UFMT/Sinop; D.J.R. from CNPq (productivity grant -312407/2022-0), T.F.D. from CNPq Bolsa Produtividade 312589/2022-0; S.K.A. from the Kerala Forest Research Institute Plan Fund; B.K. from a Darwin Initiative main grant 20-021; W.E.M. from CNPq (productivity grant), FAPEAM and CNPq (funding for PPBio, PELD, CENBAM and smaller projects); C.R. from INCT-SinBiAm (grant CNPq 406767/2022-0), INCT-CENBAM (grant CNPq 406474/2022-2), CAPES/FAPEAM (grant 88887.964874/2024-00) and PPBio (grant CNPq 441260/2023-3 and 441228/2023-2); E.M.C.-F. from the Good Energies Foundation; R.M.d.S. from CNPq Bolsa de Produtividade 313632/2021-9; A.G.M. from FAPERO/PAP/Universal/AP-CA/2022, CNPq (funding for PPBio, PELD, CENBAM and smaller projects); W.M. from the Darwin Initiative main grant 20-021; R.M. from the Swedish Research Council (Vetenskapsrådet), grant 2019-03758; C.P.d.O. from UEAP; M. Svátek from a grant from the Ministry of Education, Youth and Sports of the Czech Republic (INTER-TRANSFER LTT19018); and M.T.N. from CNPq (Research Productivity Fellowship) grant 312567/2021-9 and FAPERJ (E-26/201.007/2022). B.D. was supported by sDiv, the Synthesis Centre of iDiv (DFG FZT 118, 202548816). D.C.'s research in plant biodiversity is supported by grants from CNPq (Research Productivity Fellowship no. 314187/2021-9 and PPBIO Semiárido no. 441271/2023-5) and FAPERJ (Programa Jovem Cientista do Nosso Estado - 2022, grant no. 200.153/2023). S.W.R. acknowledges support from the Australian Research Council Discovery Grant (DP190101823) and from the ARC Centre of Excellence for Climate Extremes (CE170100023). We thank R. M. Ewers for contributing trait data. In Brazil, we also thank the Reserva Particular de Patrimonio \u00D9nio Natural de Serra das Almas, Área de Proteção Ambiental da Chapada do Araripe and Floresta Nacional do Araripe-Apodi for granting research access, and ONF Brazil, for providing data access from the Private Natural Reserve.; Funding text 2: J.A.-G. was funded by the Natural Environment Research Council (NERC) under an Independent Research Fellowship (NE/T011084/1), the NERC Pushing the Frontiers (NE/Z504191/1) and the Oxford University John Fell Fund (10667). This paper is a product of several vegetation data networks including the GEM network (gem.tropicalforests.ox.ac.uk), RAINFOR, MONAFOR and the ForestPlots.net meta-network. This manuscript is an output of ForestPlots.net research projects 109 and 184, ‘Predicting plant functional traits across the tropics'. ForestPlots.net is a meta-network and cyber-initiative developed at the University of Leeds that unites permanent plot records and supports tropical forest scientists. We acknowledge the contributions of the ForestPlots.net Collaboration and Data Request Committee (T.R.B., E. Honorio Coronado, A. Levesley, O.L.P., B.S.M., B. Sonké, C. Ewango, J. Muledi, S. Lewis, L. Qie) for facilitating this project and associated data management. The development of ForestPlots.net and data curation has been funded by multiple grants including NE/B503384/1, NE/N012542/1 – ‘BIO-RED', ERC Advanced Grant 291585 – ‘T-FORCES', NE/F005806/1 – ‘AMAZONICA', NE/N004655/1 – ‘TREMOR', NERC New Investigators Awards, the Gordon and Betty Moore Foundation (‘RAINFOR', ‘MonANPeru'), ERC Starter Grant 758873 – ‘TreeMort', and from EU Framework 5, 6 and 7. Global trait collection and trait analyses for GEM were funded by an ERC Advanced Investigator Award (GEM-TRAIT: 321131) to Y.M. under the European Union's Seventh Framework Programme (FP7/2007–2013), with additional support from NERC grant NE/D014174/1 and NE/J022616/1 for trait work in Peru, NERC grant ECOFOR (NE/K016385/1) for trait work in Santarem, NERC grant BALI (NE/K016369/1) for plot and trait work in Malaysia and ERC advanced grant T-FORCES (291585) to O.L.P. and Y.M. for trait work in Australia. Plot set-up in Ghana and Gabon was funded by NERC grant NE/I014705/1 and by the Royal Society–Leverhulme Africa Capacity Building Programme. The Malaysia campaign was also funded by NERC grant NE/K016253/1. Plot inventories in Peru were supported by funding from the US National Science Foundation (NSF) Long-Term Research in Environmental Biology program (LTREB; DEB 1754647) and the Gordon and Betty Moore Foundation Andes–Amazon Program. Plot inventories in Nova Xavantina (Brazil) were supported by the National Council for Scientific and Technological Development (CNPq), Long Term Ecological Research Program (PELD), process 441244/2016-5 and the Foundation of Research Support of Mato Grosso (FAPEMAT), Project ReFlor, process 589267/2016. The network of long-term permanent plots in Mexico, MONAFOR, is supported by the National Forest Council (CONAFOR), National Council of Humanities Science and Technology (CONAHCYT) and Council of Science and Technology of the State of Durango (COCYTED). Trait data acquisition in Gabon was supported by the Gabon National Parks Agency. H.Z-Z. was supported by NERC NE/T011084/1 grant to J.A.-G. and by NGEE–Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. S.A.-B. acknowledges funding from the Leverhulme Trust—Royal Society of the United Kingdom (A130026) under the water stress, ecosystem function and tree functional diversity in tropical African forests project. C.A.J. acknowledges support from the Brazilian National Research Council–CNPq (PELD process 403710/2012–0), NERC and the State of São Paulo Research Foundation (FAPESP) as part of the projects Functional Gradient, PELD/BIOTA and ECOFOR (processes 2003/12595-7, 2012/51509-8 and 2012/51872-5, within the BIOTA/FAPESP Program–the Biodiversity Virtual Institute (www.biota.org.br); COTEC/IF 002.766/2013 and 010.631/2013 permits. B.S.M. was supported by CNPq–PELD projects (441244/2016-5 and 441572/2020-0) and CAPES (136277/2017-0). M.S. acknowledges funding for the Andes Biodiversity and Ecosystem Research Group (ABERG) plot network from the US NSF LTREB (1754647), the Gordon and Betty Moore Foundation's Andes to Amazon Initiative and RAINFOR. E.B., J.B. and Y.M. acknowledge support from NERC under projects NE/K016431/1 and NE/S01084X/1. Y.M. is supported by the Frank Jackson Foundation. A.F.R. acknowledges support from FAPESP 22/14605-0 and 19/24049-5; G.W. from the Swedish Research Council grant 2021-05265 and the Swedish strategic research area ‘Biodiversity and Ecosystem services in a Changing Climate' (BECC; http://www.becc.lu.se/); E.A.d.O. from CNPq, Brazil 153023/2022-8 and 150666/2023-3; D.R.A.A. from FEALQ; K.B. from the Instituto Nacional de Ci\u00EAncia e Tecnología (INCT) in Ecology, Evolution and Conservation of Biodiversity, from MCTIC–CNPq 465610/2014-5 and from FAPEG grant 201810267000023; R.B.d.L. from UEAP; J.C.D. from COL-TREE; L.C. from UFMT/Sinop; D.J.R. from CNPq (productivity grant -312407/2022-0), T.F.D. from CNPq Bolsa Produtividade 312589/2022-0; S.K.A. from the Kerala Forest Research Institute Plan Fund; B.K. from a Darwin Initiative main grant 20-021; W.E.M. from CNPq (productivity grant), FAPEAM and CNPq (funding for PPBio, PELD, CENBAM and smaller projects); C.R. from INCT-SinBiAm (grant CNPq 406767/2022-0), INCT-CENBAM (grant CNPq 406474/2022-2), CAPES/FAPEAM (grant 88887.964874/2024-00) and PPBio (grant CNPq 441260/2023-3 and 441228/2023-2); E.M.C.-F. from the Good Energies Foundation; R.M.d.S. from CNPq Bolsa de Produtividade 313632/2021-9; A.G.M. from FAPERO/PAP/Universal/AP-CA/2022, CNPq (funding for PPBio, PELD, CENBAM and smaller projects); W.M. from the Darwin Initiative main grant 20-021; R.M. from the Swedish Research Council (Vetenskapsrådet), grant 2019-03758; C.P.d.O. from UEAP; M. Svátek from a grant from the Ministry of Education, Youth and Sports of the Czech Republic (INTER-TRANSFER LTT19018); and M.T.N. from CNPq (Research Productivity Fellowship) grant 312567/2021-9 and FAPERJ (E-26/201.007/2022). B.D. was supported by sDiv, the Synthesis Centre of iDiv (DFG FZT 118, 202548816). D.C.'s research in plant biodiversity is supported by grants from CNPq (Research Productivity Fellowship no. 314187/2021-9 and PPBIO Semiárido no. 441271/2023-5) and FAPERJ (Programa Jovem Cientista do Nosso Estado - 2022, grant no. 200.153/2023). S.W.R. acknowledges support from the Australian Research Council Discovery Grant (DP190101823) and from the ARC Centre of Excellence for Climate Extremes (CE170100023). We thank R. M. Ewers for contributing trait data. In Brazil, we also thank the Reserva Particular de Patrimonio \u00D9nio Natural de Serra das Almas, Área de Proteção Ambiental da Chapada do Araripe and Floresta Nacional do Araripe-Apodi for granting research access, and ONF Brazil, for providing data access from the Private Natural Reserve. | |
| dc.identifier.doi | https://doi.org/10.1038/s41586-025-08663-2 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14657/205675 | |
| dc.language.iso | eng | |
| dc.publisher | Nature Research | |
| dc.relation.ispartof | urn:issn:0028-0836 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.source | Nature; Vol. 641, Núm. 8061 (2025) | |
| dc.subject | Tropical forest canopies | |
| dc.subject | Functional traits | |
| dc.subject | Functional diversity | |
| dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#1.06.00 | |
| dc.title | Canopy functional trait variation across Earth’s tropical forests | |
| dc.type | http://purl.org/coar/resource_type/c_6501 | |
| dc.type.other | Artículo | |
| dc.type.version | https://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/ |
