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dc.creatorPaine, C. E. Timothy 
dc.creatorAmissah, Lucy 
dc.creatorAuge, Harald 
dc.creatorBaraloto, Christopher 
dc.creatorBaruffol, Martin 
dc.creatorBourland, Nils 
dc.creatorBruelheide, Helge 
dc.creatorDaïnou, Kasso 
dc.creatorGouvenain, Roland C. 
dc.creatorDoucet, Jean?Louis 
dc.creatorDoust, Susan 
dc.creatorFine, Paul V. A. 
dc.creatorFortunel, Claire 
dc.creatorHaase, Josephine 
dc.creatorHoll, Karen D. 
dc.creatorJactel, Hervé 
dc.creatorLi, Xuefei 
dc.creatorKitajima, Kaoru 
dc.creatorKoricheva, Julia 
dc.creatorMartínez?Garza, Cristina 
dc.creatorMessier, Christian 
dc.creatorPaquette, Alain 
dc.creatorPhilipson, Christopher 
dc.creatorPiotto, Daniel 
dc.creatorPoorter, Lourens 
dc.creatorPosada, Juan M. 
dc.creatorPotvin, Catherine 
dc.creatorRainio, Kalle 
dc.creatorRusso, Sabrina E. 
dc.creatorRuiz?Jaen, Mariacarmen 
dc.creatorScherer?Lorenzen, Michael 
dc.creatorWebb, Campbell O. 
dc.creatorWright, S. Joseph 
dc.creatorZahawi, Rakan A. 
dc.creatorHector, Andy 
dc.date.accessioned2020-05-25T23:56:07Z
dc.date.available2020-05-25T23:56:07Z
dc.date.created2015
dc.identifier.issn00220477
dc.identifier.issn13652745
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22328
dc.description.abstractPlant functional traits, in particular specific leaf area (SLA), wood density and seed mass, are often good predictors of individual tree growth rates within communities. Individuals and species with high SLA, low wood density and small seeds tend to have faster growth rates. If community-level relationships between traits and growth have general predictive value, then similar relationships should also be observed in analyses that integrate across taxa, biogeographic regions and environments. Such global consistency would imply that traits could serve as valuable proxies for the complex suite of factors that determine growth rate, and, therefore, could underpin a new generation of robust dynamic vegetation models. Alternatively, growth rates may depend more strongly on the local environment or growth-trait relationships may vary along environmental gradients. We tested these alternative hypotheses using data on 27 352 juvenile trees, representing 278 species from 27 sites on all forested continents, and extensive functional trait data, 38% of which were obtained at the same sites at which growth was assessed. Data on potential evapotranspiration (PET), which summarizes the joint ecological effects of temperature and precipitation, were obtained from a global data base. We estimated size-standardized relative height growth rates (SGR) for all species, then related them to functional traits and PET using mixed-effect models for the fastest growing species and for all species together. Both the mean and 95th percentile SGR were more strongly associated with functional traits than with PET. PET was unrelated to SGR at the global scale. SGR increased with increasing SLA and decreased with increasing wood density and seed mass, but these traits explained only 3.1% of the variation in SGR. SGR-trait relationships were consistently weak across families and biogeographic zones, and over a range of tree statures. Thus, the most widely studied functional traits in plant ecology were poor predictors of tree growth over large scales. Synthesis. We conclude that these functional traits alone may be unsuitable for predicting growth of trees over broad scales. Determining the functional traits that predict vital rates under specific environmental conditions may generate more insight than a monolithic global relationship can offer. The most widely studied functional traits in plant ecology, specific leaf area, wood density and seed mass, were only weakly associated with tree growth rates over broad scales. Assessing trait-growth relationships under specific environmental conditions may generate more insight than a global relationship can offer. © 2015 British Ecological Society.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.relation.ispartofJournal of Ecology, ISSN:00220477, 13652745, Vol.103, No.4 (2015); pp. 978-989
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84931570588&doi=10.1111%2f1365-2745.12401&partnerID=40&md5=2df9a2ecb8eecbf49f78ea493d7e5661
dc.titleGlobally, functional traits are weak predictors of juvenile tree growth, and we do not know why
dc.typearticle
dc.publisherBlackwell Publishing Ltd
dc.subject.keywordBiogeographical region
dc.subject.keywordCommunity dynamics
dc.subject.keywordDatabase
dc.subject.keywordEnvironmental gradient
dc.subject.keywordEvapotranspiration
dc.subject.keywordFunctional morphology
dc.subject.keywordGrowth rate
dc.subject.keywordIndividual variation
dc.subject.keywordJuvenile
dc.subject.keywordLeaf area
dc.subject.keywordSeed
dc.subject.keywordWood
dc.subject.keywordWoody plant
dc.subject.keywordFunctional ecology
dc.subject.keywordFundiveurope
dc.subject.keywordGrowth
dc.subject.keywordHierarchical models
dc.subject.keywordPlant population and community dynamics
dc.subject.keywordRelative growth rate
dc.subject.keywordSize-standardized growth rate
dc.subject.keywordTreedivnet
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.type.spaArtículo
dc.rights.accesoAbierto (Texto Completo)
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doihttps://doi.org/10.1111/1365-2745.12401
dc.relation.citationEndPage989
dc.relation.citationIssueNo. 4
dc.relation.citationStartPage978
dc.relation.citationTitleJournal of Ecology
dc.relation.citationVolumeVol. 103
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR


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