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dc.contributor.author
Pierce, Simon  
dc.contributor.author
Negreiros, Daniel  
dc.contributor.author
Cerabolini, Bruno E. L.  
dc.contributor.author
Kattge, Jens  
dc.contributor.author
Díaz, Sandra Myrna  
dc.contributor.author
Grime, John Philip  
dc.contributor.author
Thompson, Ken  
dc.contributor.author
Hunt, Roderick  
dc.contributor.author
Wilson, Peter J.  
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Buffa, Gabriella  
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Nyakunga, Oliver C.  
dc.contributor.author
Reich, Peter B.  
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Caccianiga, Marco  
dc.contributor.author
Mangili, Federico  
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Ceriani, Roberta M.  
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Luzzaro, Alessandra  
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Brusa, Guido  
dc.contributor.author
Siefert, Andrew  
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Barbosa, Newton P. U.  
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Chapin III, Francis Stuart  
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Cornwell, William K.  
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Fang, Jingyun  
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Fernandes, Geraldo Wilson  
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Garnier, Eric  
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Le Stradic, Soizig  
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Peñuelas, Josep  
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Melo, Felipe P. L.  
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Slaviero, Antonio  
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Tabarelli, Marcelo  
dc.contributor.author
Tampucci, Duccio  
dc.date.available
2018-07-13T15:35:06Z  
dc.date.issued
2016-08  
dc.identifier.citation
Pierce, Simon; Negreiros, Daniel; Cerabolini, Bruno E. L.; Kattge, Jens; Díaz, Sandra Myrna; et al.; A global method for calculating plant CSR ecological strategies applied across biomes world-wide; Wiley Blackwell Publishing, Inc; Functional Ecology; 31; 8-2016; 444-457  
dc.identifier.issn
0269-8463  
dc.identifier.uri
http://hdl.handle.net/11336/52011  
dc.description.abstract
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.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Csr  
dc.subject
Ecological Strategies  
dc.subject.classification
Otras Ciencias Biológicas  
dc.subject.classification
Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
A global method for calculating plant CSR ecological strategies applied across biomes world-wide  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-06-11T12:59:43Z  
dc.identifier.eissn
1365-2435  
dc.journal.volume
31  
dc.journal.pagination
444-457  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Pierce, Simon. University Of Milan; Italia  
dc.description.fil
Fil: Negreiros, Daniel. Universidade Federal de Minas Gerais; Brasil  
dc.description.fil
Fil: Cerabolini, Bruno E. L.. Universidad de Insubria; Italia  
dc.description.fil
Fil: Kattge, Jens. 1max Planck Institute For Biogeochemistr; Alemania  
dc.description.fil
Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina  
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Fil: Grime, John Philip. University of Sheffield; Reino Unido  
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Fil: Thompson, Ken. University of Sheffield; Reino Unido  
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Fil: Hunt, Roderick. University of Exeter; Reino Unido  
dc.description.fil
Fil: Wilson, Peter J.. University of Sheffield; Reino Unido  
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Fil: Buffa, Gabriella. University Ca’Foscari of Venice; Italia  
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Fil: Nyakunga, Oliver C.. University Ca’Foscari of Venice; Italia  
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Fil: Reich, Peter B.. University of Minnesota; Estados Unidos  
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Fil: Caccianiga, Marco. Università degli Studi di Milano; Italia  
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Fil: Mangili, Federico. Università degli Studi di Milano; Italia  
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Fil: Ceriani, Roberta M.. The Native Flora Centre; Italia. Università degli Studi di Milano; Italia  
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Fil: Luzzaro, Alessandra. Università degli Studi di Milano; Italia  
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Fil: Brusa, Guido. University of Insubria; Italia  
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Fil: Siefert, Andrew. University of California at Davis; Estados Unidos  
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Fil: Barbosa, Newton P. U.. Universidade Federal de Minas Gerais; Brasil  
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Fil: Chapin III, Francis Stuart. University Of Alaska; Estados Unidos  
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Fil: Cornwell, William K.. University of New South Wales; Australia  
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Fil: Fang, Jingyun. The Chinese Academy of Sciences; China  
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Fil: Fernandes, Geraldo Wilson. Universidade Federal de Minas Gerais; Brasil  
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Fil: Garnier, Eric. Centre d’Écologie Fonctionnelle et Évolutive; Francia  
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Fil: Le Stradic, Soizig. Université de Liège; Bélgica  
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Fil: Peñuelas, Josep. Global Ecology Unit; España  
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Fil: Melo, Felipe P. L.. Universidade Federal de Pernambuco; Brasil  
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Fil: Slaviero, Antonio. University Ca’Foscari of Venice; Italia  
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Fil: Tabarelli, Marcelo. Universidade Federal de Pernambuco; Brasil  
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Fil: Tampucci, Duccio. Università degli Studi di Milano; Italia  
dc.journal.title
Functional Ecology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/1365-2435  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/1365-2435.12722