Global patterns and environmental drivers of forest functional composition
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Global patterns and environmental drivers of forest functional composition. / 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.
In: Global Ecology and Biogeography, Vol. 33, No. 2, 2024, p. 303-324.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Global patterns and environmental drivers of forest functional composition
AU - Bouchard, Elise
AU - Searle, Eric B.
AU - Drapeau, Pierre
AU - Liang, Jingjing
AU - Gamarra, Javier G.P.
AU - Abegg, Meinrad
AU - Alberti, Giorgio
AU - Zambrano, Angelica Almeyda
AU - Alvarez-Davila, Esteban
AU - Alves, Luciana F.
AU - Avitabile, Valerio
AU - Aymard, Gerardo
AU - Bastin, Jean François
AU - Birnbaum, Philippe
AU - Bongers, Frans
AU - Bouriaud, Olivier
AU - Brancalion, Pedro
AU - Broadbent, Eben
AU - Bussotti, Filippo
AU - Gatti, Roberto Cazzolla
AU - Češljar, Goran
AU - Chisholm, Chelsea
AU - Cienciala, Emil
AU - Clark, Connie J.
AU - Corral-Rivas, José Javier
AU - Crowther, Thomas W.
AU - Dayanandan, Selvadurai
AU - Decuyper, Mathieu
AU - de Gasper, André L.
AU - de-Miguel, Sergio
AU - Derroire, Géraldine
AU - DeVries, Ben
AU - Djordjević, Ilija
AU - Van Do, Tran
AU - Dolezal, Jiri
AU - Fayle, Tom M.
AU - Fridman, Jonas
AU - Frizzera, Lorenzo
AU - Gianelle, Damiano
AU - Hemp, Andreas
AU - Hérault, Bruno
AU - Herold, Martin
AU - Imai, Nobuo
AU - Jagodziński, Andrzej M.
AU - Jaroszewicz, Bogdan
AU - Jucker, Tommaso
AU - Kepfer-Rojas, Sebastian
AU - Keppel, Gunnar
AU - Khan, Mohammed Latif
AU - Kim, Hyun Seok
AU - Korjus, Henn
AU - Kraxner, Florian
AU - Laarmann, Diana
AU - Lewis, Simon
AU - Lu, Huicui
AU - Maitner, Brian S.
AU - Marcon, Eric
AU - Marshall, Andrew R.
AU - Mukul, Sharif A.
AU - Nabuurs, Gert Jan
AU - Nava-Miranda, María Guadalupe
AU - Parfenova, Elena I.
AU - Park, Minjee
AU - Peri, Pablo L.
AU - Pfautsch, Sebastian
AU - Phillips, Oliver L.
AU - Piedade, Maria Teresa F.
AU - Piotto, Daniel
AU - Poulsen, John R.
AU - Poulsen, Axel Dalberg
AU - Pretzsch, Hans
AU - Reich, Peter B.
AU - Rodeghiero, Mirco
AU - Rolim, Samir
AU - Rovero, Francesco
AU - Saikia, Purabi
AU - Salas-Eljatib, Christian
AU - Schall, Peter
AU - Schepaschenko, Dmitry
AU - Schöngart, Jochen
AU - Šebeň, Vladimír
AU - Sist, Plinio
AU - Slik, Ferry
AU - Souza, Alexandre F.
AU - Stereńczak, Krzysztof
AU - Svoboda, Miroslav
AU - Tchebakova, Nadezhda M.
AU - ter Steege, Hans
AU - Tikhonova, Elena V.
AU - Usoltsev, Vladimir A.
AU - Valladares, Fernando
AU - Viana, Helder
AU - Vibrans, Alexander C.
AU - Wang, Hua Feng
AU - Westerlund, Bertil
AU - Wiser, Susan K.
AU - Wittmann, Florian
AU - Wortel, Verginia
AU - Zawiła-Niedźwiecki, Tomasz
AU - Zhou, Mo
AU - Zhu, Zhi Xin
AU - Zo-Bi, Irié C.
AU - Paquette, Alain
N1 - Publisher Copyright: © 2023 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - biogeography
KW - climate
KW - environmental gradients
KW - functional traits
KW - seed mass
KW - species abundance
KW - specific leaf area
KW - trees
KW - wood density
U2 - 10.1111/geb.13790
DO - 10.1111/geb.13790
M3 - Journal article
AN - SCOPUS:85182844125
VL - 33
SP - 303
EP - 324
JO - Global Ecology and Biogeography
JF - Global Ecology and Biogeography
SN - 1466-822X
IS - 2
ER -
ID: 380654891