Canopy functional trait variation across Earth’s tropical forests
2025
Aguirre-Gutiérrez, Jesús | Rifai, Sami, W | Deng, Xiongjie | ter Steege, Hans | Thomson, Eleanor | Corral-Rivas, Jose, Javier | Guimaraes, Aretha, Franklin | Muller, Sandra | Klipel, Joice | Fauset, Sophie | Resende, Angelica, F | Wallin, Göran | Joly, Carlos, A | Abernethy, Katharine | Adu-Bredu, Stephen | Alexandre Silva, Celice | de Oliveira, Edmar, Almeida | Almeida, Danilo, R A | Alvarez-Davila, Esteban | Asner, Gregory, P | Baker, Timothy, R | Benchimol, Maíra | Bentley, Lisa, Patrick | Berenguer, Erika | Blanc, Lilian | Bonal, Damien | Bordin, Kauane | Borges de Lima, Robson | Both, Sabine | Cabezas Duarte, Jaime | Cardoso, Domingos | de Lima, Haroldo, C | Cavalheiro, Larissa | Cernusak, Lucas, A | dos Santos Prestes, Nayane, Cristina C | da Silva Zanzini, Antonio, Carlos | da Silva, Ricardo, José | dos Santos Alves da Silva, Robson | de Andrade Iguatemy, Mariana | de Sousa Oliveira, Tony, César | Dechant, Benjamin | Derroire, Géraldine | Dexter, Kyle, G | Rodrigues, Domingos, J | Espírito-Santo, Mário | Silva, Letícia, Fernandes | Domingues, Tomas, Ferreira | Ferreira, Joice | Simon, Marcelo, Fragomeni | Girardin, Cécile, A J | Hérault, Bruno | Jeffery, Kathryn, J | Kalpuzha Ashtamoorthy, Sreejith | Kavidapadinjattathil Sivadasan, Arunkumar | Klitgaard, Bente | Laurance, William, F | Dan, Maurício, Lima | Magnusson, William, E | Campos-Filho, Eduardo, Malta | Manoel dos Santos, Rubens | Manzatto, Angelo, Gilberto | Silveira, Marcos | Marimon-Junior, Ben, Hur | Martin, Roberta, E | Vieira, Daniel, Luis Mascia | Metzker, Thiago | Milliken, William | Moonlight, Peter | Moraes de Seixas, Marina, Maria | Morandi, Paulo, S | Muscarella, Robert | Nava-Miranda, María, Guadalupe | Nyirambangutse, Brigitte | Silva, Jhonathan, Oliveira | Oliveras Menor, Imma | Francisco Pena Rodrigues, Pablo, José | Pereira de Oliveira, Cinthia | Pereira Zanzini, Lucas | Peres, Carlos, A | Punjayil, Vignesh | Quesada, Carlos, A | Réjou-Méchain, Maxime | Riutta, Terhi | Rivas-Torres, Gonzalo | Rosa, Clarissa | Salinas, Norma | Bergamin, Rodrigo, Scarton | Marimon, Beatriz, Schwantes | Shenkin, Alexander | Silva Rodrigues, Priscyla, Maria | Figueiredo, Axa, Emanuelle Simões | Garcia, Queila, Souza | Spósito, Tereza | Storck-Tonon, Danielle | Sullivan, Martin, J P | Svátek, Martin | Vieira Santiago, Wagner, Tadeu | Arn Teh, Yit | Theruvil Parambil Sivan, Prasad | Nascimento, Marcelo, Trindade | Veenendaal, Elmar | Zo-Bi, Irie, Casimir | Dago, Marie, Ruth | Traoré, Soulemane | Patacca, Marco | Badouard, Vincyane | de Padua Chaves E Carvalho, Samuel | White, Lee, J T | Zhang-Zheng, Huanyuan | Zibera, Etienne | Zwerts, Joeri, Alexander | Burslem, David, F R P | Silman, Miles | Chave, Jérôme | Enquist, Brian, J | Barlow, Jos | Phillips, Oliver, L | Coomes, David, A | Malhi, Yadvinder | University of Oxford | University of Adelaide | Universiteit Utrecht / Utrecht University [Utrecht] | Universidad Juárez del Estado de Durango | Instituto Nacional de Pesquisas da Amazônia = National Institute of Amazonian Research (INPA) | Universidade Federal do Rio Grande do Sul [Porto Alegre – Brasil] = Federal University of Rio Grande do Sul [Porto Alegre – Brazil] (UFRGS) | Leuphana University of Lüneburg | Plymouth University | Universidade de São Paulo = University of São Paulo (USP) | University of Stirling | Universidade Estadual de Campinas = University of Campinas (UNICAMP) | Forêts et Sociétés (UPR Forêts et Sociétés) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | Département Environnements et Sociétés (Cirad-ES) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | SILVA (SILVA) ; AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | University of New England (UNE) | Ecologie des forêts de Guyane (UMR ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [Occitanie])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM) | Centre de Recherche sur la Biodiversité et l'Environnement (CRBE) ; Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP) ; Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université de Toulouse (EPE UT) ; Communauté d'universités et établissements de Toulouse (Comue de Toulouse) | University of Cambridge [UK] (CAM) | ANR-10-LABX-0025,CEBA,CEnter of the study of Biodiversity in Amazonia(2010)
International audience
Afficher plus [+] Moins [-]anglais. Tropical forest canopies are the biosphere’s most concentrated atmospheric interface for carbon, water and energy1,2. 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 properties3. This situation arises, in part, from a lack of understanding about how and why the functional properties of tropical forest canopies vary geographically4. 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.
Afficher plus [+] Moins [-]Informations bibliographiques
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