Global patterns and environmental drivers of forest functional composition
2024
Bouchard, Elise | Searle, Eric, B | Drapeau, Pierre | Liang, Jingjing | Gamarra, Javier, G P | Abegg, Meinrad | Alberti, Giorgio | Zambrano, Angelica, Almeyda | Alvarez‐davila, Esteban | Alves, Luciana, F | Avitabile, Valerio | Aymard, Gerardo | Bastin, Jean‐françois | Birnbaum, Philippe | Bongers, Frans | Bouriaud, Olivier | Brancalion, Pedro | Broadbent, Eben | Bussotti, Filippo | Gatti, Roberto, Cazzolla | Češljar, Goran | Chisholm, Chelsea | Cienciala, Emil | Clark, Connie, J | Corral‐rivas, José, Javier | Crowther, Thomas, W | Dayanandan, Selvadurai | Decuyper, Mathieu | de Gasper, André, L | De‐miguel, Sergio | Derroire, Géraldine | Devries, Ben | Djordjević, Ilija | van Do, Tran | Dolezal, Jiri | Fayle, Tom, M | Fridman, Jonas | Frizzera, Lorenzo | Gianelle, Damiano | Hemp, Andreas | Hérault, Bruno | Herold, Martin | Imai, Nobuo | Jagodziński, Andrzej, M | Jaroszewicz, Bogdan | Jucker, Tommaso | Kepfer‐rojas, Sebastian | Keppel, Gunnar | Khan, Mohammed, Latif | Kim, Hyun, Seok | Korjus, Henn | Kraxner, Florian | Laarmann, Diana | Lewis, Simon | Lu, Huicui | Maitner, Brian, S | Marcon, Eric | Marshall, Andrew, R | Mukul, Sharif, A | Nabuurs, Gert‐jan | Nava‐miranda, María, Guadalupe | Parfenova, Elena, I | Park, Minjee | Peri, Pablo, L | Pfautsch, Sebastian | Phillips, Oliver, L | Piedade, Maria, Teresa F | Piotto, Daniel | Poulsen, John, R | Poulsen, Axel, Dalberg | Pretzsch, Hans | Reich, Peter, B | Rodeghiero, Mirco | Rolim, Samir | Rovero, Francesco | Saikia, Purabi | Salas‐eljatib, Christian | Schall, Peter | Schepaschenko, Dmitry | Schöngart, Jochen | Šebeň, Vladimír | Sist, Plinio | Slik, Ferry | Souza, Alexandre, F | Stereńczak, Krzysztof | Svoboda, Miroslav | Tchebakova, Nadezhda, M | ter Steege, Hans | Tikhonova, Elena, V | Usoltsev, Vladimir, A | Valladares, Fernando | Viana, Helder | Vibrans, Alexander, C | Wang, Hua‐feng | Westerlund, Bertil | Wiser, Susan, K | Wittmann, Florian | Wortel, Verginia | Zawiła‐niedźwiecki, Tomasz | Zhou, Mo | Zhu, Zhi‐xin | Zo‐bi, Irié, C | Paquette, Alain | Université du Québec à Montréal = University of Québec in Montréal (UQAM) | 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) | Département Systèmes Biologiques (Cirad-BIOS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | AgroParisTech | Natural Sciences and Engineering Research Council of Canada
International audience
اظهر المزيد [+] اقل [-]إنجليزي. Aim: To determine the relationships between the functional trait composition of forest communities and environmental gradients across scales and biomes and the role of species relative abundances in these relationships. Location: Global. Time: period Recent. Major taxa studied Trees. Methods: We integrated species abundance records from worldwide forest inventories and associated functional traits (wood density, specific leaf area and seed mass) to obtain a data set of 99,953 to 149,285 plots (depending on the trait) spanning all forested continents. We computed community-weighted and unweighted means of trait values for each plot and related them to three broad environmental gradients and their interactions (energy availability, precipitation and soil properties) at two scales (global and biomes). Results: Our models explained up to 60% of the variance in trait distribution. At global scale, the energy gradient had the strongest influence on traits. However, within-biome models revealed different relationships among biomes. Notably, the functional composition of tropical forests was more influenced by precipitation and soil properties than energy availability, whereas temperate forests showed the opposite pattern. Depending on the trait studied, response to gradients was more variable and proportionally weaker in boreal forests. Community unweighted means were better predicted than weighted means for almost all models. Main conclusions: Worldwide, trees require a large amount of energy (following latitude) to produce dense wood and seeds, while leaves with large surface to weight ratios are concentrated in temperate forests. However, patterns of functional composition within-biome differ from global patterns due to biome specificities such as the presence of conifers or unique combinations of climatic and soil properties. We recommend assessing the sensitivity of tree functional traits to environmental changes in their geographic context. Furthermore, at a given site, the distribution of tree functional traits appears to be driven more by species presence than species abundance.
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
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