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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:27:12Z</responseDate> <request identifier=oai:HAL:hal-01204211v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01204211v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:sdv</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:INRA</setSpec> <setSpec>collection:AGROPARISTECH</setSpec> <setSpec>collection:CIRAD</setSpec> <setSpec>collection:ECOFOG</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Environmental factors predict community functional composition in Amazonian forests</title> <creator>FORTUNEL, Claire</creator> <creator>Paine, C. E. Timothy</creator> <creator>Fine, Paul V. A.</creator> <creator>Kraft, Nathan J. B.</creator> <creator>Baraloto, Christopher</creator> <contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>Biological and Environmental Sciences ; University of Stirling</contributor> <contributor>Department of Integrative Biology ; University of California [Berkeley]</contributor> <contributor>Department of Biology ; University of Maryland [College Park]</contributor> <contributor>Department of Biology ; University of Florida [Gainesville]</contributor> <contributor>NSF [DEB-0743103/0743800]; INRA Package grant; 'Investissement d'Avenir' grant [ANR-10-LABX-0025]</contributor> <source>ISSN: 0022-0477</source> <source>EISSN: 1365-2745</source> <source>Journal of Ecology</source> <publisher>Wiley</publisher> <identifier>hal-01204211</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-01204211</identifier> <source>https://hal.archives-ouvertes.fr/hal-01204211</source> <source>Journal of Ecology, Wiley, 2014, 102 (1), pp.145-155. 〈10.1111/1365-2745.12160〉</source> <identifier>DOI : 10.1111/1365-2745.12160</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1111/1365-2745.12160</relation> <identifier>PRODINRA : 259900</identifier> <language>en</language> <subject lang=en>Amazonian landscape</subject> <subject lang=en>climatic and soil gradients</subject> <subject lang=en>determinants of plant community diversity and structure</subject> <subject lang=en>environmental filtering</subject> <subject lang=en>functional traits</subject> <subject lang=en>tree communities</subject> <subject lang=en>tropical forests</subject> <subject>[SDV] Life Sciences [q-bio]</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>The consequences of biodiversity loss for ecosystem services largely depend on the functional identities of extirpated species. However, poor descriptions of spatial patterns of community functional composition across landscapes hamper accurate predictions, particularly in highly diverse tropical regions. Therefore, understanding how community functional composition varies across environmental gradients remains an important challenge. We sampled 15 functional traits in 800 Neotropical tree species across 13 forest plots representative of the broad climatic and soil gradients encompassed by three widespread lowland forest habitats (terra firme forests on clay-rich soils, seasonally flooded forests and white-sand forests) at opposite ends of Amazonia (Peru and French Guiana). We combined univariate and multivariate approaches to test the magnitude and predictability of environmental filtering on community leaf and wood functional composition. Directional shifts in community functional composition correlated with environmental changes across the 13 plots, with denser leaves, stems and roots in forests occurring in environments with limited water and soil-nutrient availability. Critically, these relationships allowed us to accurately predict the functional composition of 61 additional forest plots from environmental data alone.Synthesis. Environmental filtering consistently shapes the functional composition of highly diverse tropical forests at large scales across the terra firme, seasonally flooded and white-sand forests of lowland Amazonia. Environmental factors drive and allow the prediction of variation in community functional composition among habitat types in Amazonian forests.</description> <date>2014</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>