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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>2018-01-15T18:27:07Z</responseDate> <request identifier=oai:HAL:hal-01204224v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01204224v1</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:AMAP</setSpec> <setSpec>collection:CIRAD</setSpec> <setSpec>collection:ECOFOG</setSpec> <setSpec>collection:AGROPOLIS</setSpec> <setSpec>collection:GUYANE</setSpec> <setSpec>collection:AGROPARISTECH-ORG</setSpec> <setSpec>collection:AGROPARISTECH-SIAFEE</setSpec> <setSpec>collection:B3ESTE</setSpec> <setSpec>collection:UNIV-MONTPELLIER</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Geomorphological landscape features explain floristic patterns in French Guiana rainforest</title> <creator>Guitet, Stéphane</creator> <creator>Pélissier, Raphaël</creator> <creator>Brunaux, Olivier</creator> <creator>Jaouen, Gaëlle</creator> <creator>Sabatier, Daniel</creator> <contributor>Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut national de la recherche agronomique [Montpellier] (INRA Montpellier) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS) - Institut de Recherche pour le Développement (IRD [France-Sud])</contributor> <contributor>Office National des Forêts (ONF)</contributor> <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 - Université de Guyane (UG) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>European Union’s PO-FEDER program (HABITATS)</contributor> <source>ISSN: 0960-3115</source> <source>EISSN: 1572-9710</source> <source>Biodiversity and Conservation</source> <publisher>Springer Verlag</publisher> <identifier>hal-01204224</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-01204224</identifier> <source>https://hal.archives-ouvertes.fr/hal-01204224</source> <source>Biodiversity and Conservation, Springer Verlag, 2015, 24 (5), pp.1215-1237. 〈10.1007/s10531-014-0854-8〉</source> <identifier>DOI : 10.1007/s10531-014-0854-8</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1007/s10531-014-0854-8</relation> <identifier>PRODINRA : 295767</identifier> <language>en</language> <subject lang=en>Tree community</subject> <subject lang=en>Landscapes</subject> <subject lang=en>Geodiversity</subject> <subject lang=en>Species distribution</subject> <subject lang=en>Geomorphology</subject> <subject>[SDV] Life Sciences [q-bio]</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>Geomorphic landscape features have been suggested as indicators of forest diversity. However, their explanatory power has not yet been explicitly tested at a regional scale in tropical rainforest. We used forest inventories conducted according to a stratified sampling design (3,132 plots in 111 transects at 33 sites) and holistic multi-scale geomorphological mapping derived from a Shuttle Radar Topography Mission digital elevation model to describe and explain spatial patterns in floristic composition across French Guiana (80,000 km2). We measured and identified 123,906 trees with DBH C20 cm and used constrained and unconstrained ordinations to analyze variations in the abundance of 221 taxa and 51 families. Variance partitioning and variograms were used to detect spatial patterns in species composition, compare the explanatory power of spatial and environmentalfactors, and select the variables that best explain forest composition. Strong floristic patterns corresponded to a major latitudinal gradient and significant sub-regional floristic structure. Geomorphological landscapes shaped by historic climate fluctuations and major geological events successfully captured these patterns and explained the variation in abundance of 80 taxa, corresponding to 65 % of the inventoried trees. Our findings suggest that long-term forest dynamics are under substantial ‘‘geomorphographic control’’. A geomorphological perspective on landscapes that incorporates current and past environmental filters and historical biogeographical processes could thus be used more systematically in tropical regions for regional planning and forest conservation</description> <date>2015</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>