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<identifier>oai:HAL:hal-01032415v1</identifier>
<datestamp>2018-01-11</datestamp>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Leaf, stem and root tissue strategies across 758 Neotropical tree species</title>
<creator>FORTUNEL, Claire</creator>
<creator>Fine, Paul V. A.</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>Dept Integrat Biol ; University of California [Berkeley]</contributor>
<contributor>NSF [DEB-0743103/0743800]; INRA Package grant</contributor>
<source>ISSN: 0269-8463</source>
<source>EISSN: 1365-2435</source>
<source>Functional Ecology</source>
<publisher>Wiley</publisher>
<identifier>hal-01032415</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01032415</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01032415</source>
<source>Functional Ecology, Wiley, 2012, 26 (5), pp.1153 - 1161. 〈10.1111/j.1365-2435.2012.02020.x〉</source>
<identifier>DOI : 10.1111/j.1365-2435.2012.02020.x</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1365-2435.2012.02020.x</relation>
<language>en</language>
<subject lang=en>French Guiana</subject>
<subject lang=en>functional trade-offs</subject>
<subject lang=en>leaf economics</subject>
<subject lang=en>Peru</subject>
<subject lang=en>plant traits</subject>
<subject lang=en>tropical forest</subject>
<subject lang=en>wood economics</subject>
<subject lang=en>RAIN-FOREST TREES</subject>
<subject lang=en>ECONOMICS SPECTRUM</subject>
<subject lang=en>FUNCTIONAL TRAITS</subject>
<subject lang=en>TROPICAL FORESTS</subject>
<subject lang=en>WOOD DENSITY</subject>
<subject lang=en>HYDRAULIC ARCHITECTURE</subject>
<subject lang=en>AMAZONIAN FOREST</subject>
<subject lang=en>GOOD PREDICTORS</subject>
<subject lang=en>SPATIAL SCALES</subject>
<subject lang=en>LIFE-SPAN</subject>
<subject>[SDV.SA] Life Sciences [q-bio]/Agricultural sciences</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>1. Trade-offs among functional traits reveal major plant strategies that can give insight into species distributions and ecosystem processes. However, current identification of plant strategies lacks the integration of root structural traits together with leaf and stem traits. 2. We examined correlations among 14 traits representing leaf, stem and woody root tissues. Traits were measured on 1084 individuals representing 758 Neotropical tree species, across 13 sites representative of the environmental variation encompassed by three widespread habitats (seasonally flooded, clay terra firme and white-sand forests) at opposite ends of Amazonia (French Guiana and Peru). 3. Woody root traits were closely aligned with stem traits, but not with leaf traits. Altogether leaf, stem and woody root traits delineated two orthogonal axes of functional trade-offs: a first axis defined by leaf traits, corresponding to a leaf economics spectrum, and a second axis defined by covarying stem and woody root traits, corresponding to a wood economics spectrum. These axes remained consistent when accounting for species evolutionary history with phylogenetically independent contrasts. 4. Despite the strong species turnover across sites, the covariation among root and stem structural traits as well as their orthogonality to leaf traits were strongly consistent across habitats and regions. 5. We conclude that root structural traits mirrored stem traits rather than leaf traits in Neotropical trees. Leaf and wood traits define an integrated whole-plant strategy in lowland South American forests that may contribute to a more complete understanding of plant responses to global changes in both correlative and modelling approaches. We suggest further meta-analyses in expanded environmental and geographic zones to determine the generality of this pattern.</description>
<date>2012</date>
</dc>
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