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hal.structure.identifierUniversità degli Studi di Milano = University of Milan [UNIMI]
dc.contributor.authorPIERCE, Simon
hal.structure.identifierUniversidade Federal de Minas Gerais = Federal University of Minas Gerais [Belo Horizonte, Brazil] [UFMG]
dc.contributor.authorNEGREIROS, Daniel
hal.structure.identifierUniversitá degli Studi dell’Insubria = University of Insubria [Varese] [Uninsubria]
dc.contributor.authorCERABOLINI, Bruno
hal.structure.identifierMax Planck Institute for Biogeochemistry [MPI-BGC]
dc.contributor.authorKATTGE, Jens
hal.structure.identifierInstituto Multidisciplinario de Biología Vegetal [Córdoba] [IMBIV]
dc.contributor.authorDÍAZ, Sandra
hal.structure.identifierInstitute of Biology and Environmental Sciences [Oldenburg]
dc.contributor.authorKLEYER, Michael
hal.structure.identifierDépartement de biologie [Sherbrooke] [UdeS]
dc.contributor.authorSHIPLEY, Bill
dc.contributor.authorWRIGHT, Stuart Joseph
hal.structure.identifierInstitute of Environmental Sciences [Leiden] [CML]
dc.contributor.authorSOUDZILOVSKAIA, Nadejda
hal.structure.identifierMoscow State University
dc.contributor.authorONIPCHENKO, Vladimir
hal.structure.identifierInstitute of Environmental Sciences [Leiden] [CML]
dc.contributor.authorVAN BODEGOM, Peter
hal.structure.identifierInstitut de Recherches en Biologie Végétale [Montréal] [IRBV]
dc.contributor.authorFRENETTE-DUSSAULT, Cedric
hal.structure.identifierDepartment of Biology
dc.contributor.authorWEIHER, Evan
dc.contributor.authorPINHO, Bruno
hal.structure.identifierDepartment of Theoretical and Applied Sciences [Insubria]
dc.contributor.authorCORNELISSEN, Johannes
dc.contributor.authorGRIME, John Philip
hal.structure.identifierDepartment of Animal and Plant Sciences [Sheffield]
dc.contributor.authorTHOMPSON, Ken
dc.contributor.authorHUNT, Roderick
hal.structure.identifierCommonwealth Scientific and Industrial Research Organisation [Australia] [CSIRO]
dc.contributor.authorWILSON, Peter
hal.structure.identifierUniversity of Ca’ Foscari [Venice, Italy]
dc.contributor.authorBUFFA, Gabriella
dc.contributor.authorNYAKUNGA, Oliver
dc.contributor.authorREICH, Peter
dc.contributor.authorCACCIANIGA, Marco
dc.contributor.authorMANGILI, Federico
dc.contributor.authorCERIANI, Roberta
dc.contributor.authorLUZZARO, Alessandra
dc.contributor.authorBRUSA, Guido
dc.contributor.authorSIEFERT, Andrew
dc.contributor.authorBARBOSA, Newton
dc.contributor.authorCHAPIN, Francis Stuart
dc.contributor.authorCORNWELL, William
dc.contributor.authorFANG, Jingyun
dc.contributor.authorFERNANDES, Geraldo Wilson
dc.contributor.authorGARNIER, Eric
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorLE STRADIC, Soizig
dc.contributor.authorPEÑUELAS, Josep
dc.contributor.authorMELO, Felipe
dc.contributor.authorSLAVIERO, Antonio
dc.contributor.authorTABARELLI, Marcelo
dc.contributor.authorTAMPUCCI, Duccio
dc.date.issued2016-09-07
dc.identifier.issn0269-8463
dc.description.abstractEnSummary Competitor, stress‐tolerator, ruderal ( CSR ) theory is a prominent plant functional strategy scheme previously applied to local floras. Globally, the wide geographic and phylogenetic coverage of available values of leaf area ( LA ), leaf dry matter content ( LDMC ) and specific leaf area ( SLA ) (representing, respectively, interspecific variation in plant size and conservative vs . acquisitive resource economics) promises the general application of CSR strategies across biomes, including the tropical forests hosting a large proportion of Earth's diversity. We used trait variation for 3068 tracheophytes (representing 198 families, six continents and 14 biomes) to create a globally calibrated CSR strategy calculator tool and investigate strategy–environment relationships across biomes world‐wide. Due to disparity in trait availability globally, co‐inertia analysis was used to check correspondence between a ‘wide geographic coverage, few traits’ data set and a ‘restricted coverage, many traits’ subset of 371 species for which 14 whole‐plant, flowering, seed and leaf traits (including leaf nitrogen content) were available. CSR strategy/environment relationships within biomes were investigated using fourth‐corner and RLQ analyses to determine strategy/climate specializations. Strong, significant concordance ( RV = 0·597; P < 0·0001) was evident between the 14 trait multivariate space and when only LA , LDMC and SLA were used. Biomes such as tropical moist broadleaf forests exhibited strategy convergence (i.e. clustered around a CS / CSR median; C:S:R = 43:42:15%), with CS ‐selection associated with warm, stable situations (lesser temperature seasonality), with greater annual precipitation and potential evapotranspiration. Other biomes were characterized by strategy divergence: for example, deserts varied between xeromorphic perennials such as Larrea divaricata, classified as S‐selected (C:S:R = 1:99:0%) and broadly R‐selected annual herbs (e.g. Claytonia perfoliata ; R/ CR ‐selected; C:S:R = 21:0:79%). Strategy convergence was evident for several growth habits (e.g. trees) but not others (forbs). The CSR strategies of vascular plants can now be compared quantitatively within and between biomes at the global scale. Through known linkages between underlying leaf traits and growth rates, herbivory and decomposition rates, this method and the strategy–environment relationships it elucidates will help to predict which kinds of species may assemble in response to changes in biogeochemical cycles, climate and land use.
dc.language.isoen
dc.publisherWiley
dc.title.enA global method for calculating plant CSR ecological strategies applied across biomes world‐wide
dc.typeArticle de revue
dc.identifier.doi10.1111/1365-2435.12722
dc.subject.halSciences de l'environnement
bordeaux.journalFunctional Ecology
bordeaux.page444-457
bordeaux.volume31
bordeaux.issue2
bordeaux.peerReviewedoui
hal.identifierhal-04662099
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04662099v1
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