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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/240207

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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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)
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repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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