Global patterns and environmental drivers of forest functional composition
- Autores
- 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.; Peri, Pablo Luis; Zawiła Niedźwiecki, Tomasz; Zhou, Mo; Zhu, Zhi Xin; Zo Bi, Irié C.; Paquette, Alain
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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. 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). 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, withinbiome 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. 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.
Fil: Bouchard, Elise. Université du Québec a Montreal; Canadá
Fil: Searle, Eric B.. Université du Québec a Montreal; Canadá
Fil: Drapeau, Pierre. Université du Québec a Montreal; Canadá
Fil: Liang, Jingjing. Purdue University; Estados Unidos
Fil: Gamarra, Javier G. P.. Food and Agriculture Organization of the United Nations; Italia
Fil: Abegg, Meinrad. No especifíca;
Fil: Alberti, Giorgio. No especifíca;
Fil: Zambrano, Angelica Almeyda. No especifíca;
Fil: Alvarez Davila, Esteban. No especifíca;
Fil: Alves, Luciana F.. No especifíca;
Fil: Avitabile, Valerio. No especifíca;
Fil: Aymard, Gerardo. No especifíca;
Fil: Bastin, Jean François. No especifíca;
Fil: Birnbaum, Philippe. No especifíca;
Fil: Bongers, Frans. No especifíca;
Fil: Bouriaud, Olivier. No especifíca;
Fil: Brancalion, Pedro. No especifíca;
Fil: Broadbent, Eben. No especifíca;
Fil: Bussotti, Filippo. No especifíca;
Fil: Gatti, Roberto Cazzolla. No especifíca;
Fil: Češljar, Goran. No especifíca;
Fil: Chisholm, Chelsea. No especifíca;
Fil: Cienciala, Emil. No especifíca;
Fil: Clark, Connie J.. No especifíca;
Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina
Fil: Zawiła Niedźwiecki, Tomasz. No especifíca;
Fil: Zhou, Mo. No especifíca;
Fil: Zhu, Zhi Xin. No especifíca;
Fil: Zo Bi, Irié C.. No especifíca;
Fil: Paquette, Alain. Université du Québec a Montreal; Canadá - Materia
-
tree functional traits
environmental changes
species abundance
global forest biomes - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/240207
Ver los metadatos del registro completo
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Global patterns and environmental drivers of forest functional compositionBouchard, EliseSearle, Eric B.Drapeau, PierreLiang, JingjingGamarra, Javier G. P.Abegg, MeinradAlberti, GiorgioZambrano, Angelica AlmeydaAlvarez Davila, EstebanAlves, Luciana F.Avitabile, ValerioAymard, GerardoBastin, Jean FrançoisBirnbaum, PhilippeBongers, FransBouriaud, OlivierBrancalion, PedroBroadbent, EbenBussotti, FilippoGatti, Roberto CazzollaČešljar, GoranChisholm, ChelseaCienciala, EmilClark, Connie J.Peri, Pablo LuisZawiła Niedźwiecki, TomaszZhou, MoZhu, Zhi XinZo Bi, Irié C.Paquette, Alaintree functional traitsenvironmental changesspecies abundanceglobal forest biomeshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1To 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. 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). 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, withinbiome 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. 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.Fil: Bouchard, Elise. Université du Québec a Montreal; CanadáFil: Searle, Eric B.. Université du Québec a Montreal; CanadáFil: Drapeau, Pierre. Université du Québec a Montreal; CanadáFil: Liang, Jingjing. Purdue University; Estados UnidosFil: Gamarra, Javier G. P.. Food and Agriculture Organization of the United Nations; ItaliaFil: Abegg, Meinrad. No especifíca;Fil: Alberti, Giorgio. No especifíca;Fil: Zambrano, Angelica Almeyda. No especifíca;Fil: Alvarez Davila, Esteban. No especifíca;Fil: Alves, Luciana F.. No especifíca;Fil: Avitabile, Valerio. No especifíca;Fil: Aymard, Gerardo. No especifíca;Fil: Bastin, Jean François. No especifíca;Fil: Birnbaum, Philippe. No especifíca;Fil: Bongers, Frans. No especifíca;Fil: Bouriaud, Olivier. No especifíca;Fil: Brancalion, Pedro. No especifíca;Fil: Broadbent, Eben. No especifíca;Fil: Bussotti, Filippo. No especifíca;Fil: Gatti, Roberto Cazzolla. No especifíca;Fil: Češljar, Goran. No especifíca;Fil: Chisholm, Chelsea. No especifíca;Fil: Cienciala, Emil. No especifíca;Fil: Clark, Connie J.. No especifíca;Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; ArgentinaFil: Zawiła Niedźwiecki, Tomasz. No especifíca;Fil: Zhou, Mo. No especifíca;Fil: Zhu, Zhi Xin. No especifíca;Fil: Zo Bi, Irié C.. No especifíca;Fil: Paquette, Alain. Université du Québec a Montreal; CanadáWiley Blackwell Publishing, Inc2024-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/240207Bouchard, Elise; Searle, Eric B.; Drapeau, Pierre; Liang, Jingjing; Gamarra, Javier G. P.; et al.; Global patterns and environmental drivers of forest functional composition; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 33; 2; 2-2024; 303-3241466-8238CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13790info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/geb.13790info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:23:09Zoai:ri.conicet.gov.ar:11336/240207instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:23:09.561CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Global patterns and environmental drivers of forest functional composition |
title |
Global patterns and environmental drivers of forest functional composition |
spellingShingle |
Global patterns and environmental drivers of forest functional composition Bouchard, Elise tree functional traits environmental changes species abundance global forest biomes |
title_short |
Global patterns and environmental drivers of forest functional composition |
title_full |
Global patterns and environmental drivers of forest functional composition |
title_fullStr |
Global patterns and environmental drivers of forest functional composition |
title_full_unstemmed |
Global patterns and environmental drivers of forest functional composition |
title_sort |
Global patterns and environmental drivers of forest functional composition |
dc.creator.none.fl_str_mv |
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. Peri, Pablo Luis Zawiła Niedźwiecki, Tomasz Zhou, Mo Zhu, Zhi Xin Zo Bi, Irié C. Paquette, Alain |
author |
Bouchard, Elise |
author_facet |
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. Peri, Pablo Luis Zawiła Niedźwiecki, Tomasz Zhou, Mo Zhu, Zhi Xin Zo Bi, Irié C. Paquette, Alain |
author_role |
author |
author2 |
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. Peri, Pablo Luis Zawiła Niedźwiecki, Tomasz Zhou, Mo Zhu, Zhi Xin Zo Bi, Irié C. Paquette, Alain |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
tree functional traits environmental changes species abundance global forest biomes |
topic |
tree functional traits environmental changes species abundance global forest biomes |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. 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). 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, withinbiome 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. 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. Fil: Bouchard, Elise. Université du Québec a Montreal; Canadá Fil: Searle, Eric B.. Université du Québec a Montreal; Canadá Fil: Drapeau, Pierre. Université du Québec a Montreal; Canadá Fil: Liang, Jingjing. Purdue University; Estados Unidos Fil: Gamarra, Javier G. P.. Food and Agriculture Organization of the United Nations; Italia Fil: Abegg, Meinrad. No especifíca; Fil: Alberti, Giorgio. No especifíca; Fil: Zambrano, Angelica Almeyda. No especifíca; Fil: Alvarez Davila, Esteban. No especifíca; Fil: Alves, Luciana F.. No especifíca; Fil: Avitabile, Valerio. No especifíca; Fil: Aymard, Gerardo. No especifíca; Fil: Bastin, Jean François. No especifíca; Fil: Birnbaum, Philippe. No especifíca; Fil: Bongers, Frans. No especifíca; Fil: Bouriaud, Olivier. No especifíca; Fil: Brancalion, Pedro. No especifíca; Fil: Broadbent, Eben. No especifíca; Fil: Bussotti, Filippo. No especifíca; Fil: Gatti, Roberto Cazzolla. No especifíca; Fil: Češljar, Goran. No especifíca; Fil: Chisholm, Chelsea. No especifíca; Fil: Cienciala, Emil. No especifíca; Fil: Clark, Connie J.. No especifíca; Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina Fil: Zawiła Niedźwiecki, Tomasz. No especifíca; Fil: Zhou, Mo. No especifíca; Fil: Zhu, Zhi Xin. No especifíca; Fil: Zo Bi, Irié C.. No especifíca; Fil: Paquette, Alain. Université du Québec a Montreal; Canadá |
description |
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. 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). 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, withinbiome 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. 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. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-02 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/240207 Bouchard, Elise; Searle, Eric B.; Drapeau, Pierre; Liang, Jingjing; Gamarra, Javier G. P.; et al.; Global patterns and environmental drivers of forest functional composition; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 33; 2; 2-2024; 303-324 1466-8238 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/240207 |
identifier_str_mv |
Bouchard, Elise; Searle, Eric B.; Drapeau, Pierre; Liang, Jingjing; Gamarra, Javier G. P.; et al.; Global patterns and environmental drivers of forest functional composition; Wiley Blackwell Publishing, Inc; Global Ecology and Biogeography; 33; 2; 2-2024; 303-324 1466-8238 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1111/geb.13790 info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/geb.13790 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1846082637579419648 |
score |
13.22299 |