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Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why

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dc.creatorPaine, C. E. Timothyspa
dc.creatorAmissah, Lucyspa
dc.creatorAuge, Haraldspa
dc.creatorBaraloto, Christopherspa
dc.creatorBaruffol, Martinspa
dc.creatorBourland, Nilsspa
dc.creatorBruelheide, Helgespa
dc.creatorDaïnou, Kassospa
dc.creatorGouvenain, Roland C.spa
dc.creatorDoucet, Jean?Louisspa
dc.creatorDoust, Susanspa
dc.creatorFine, Paul V. A.spa
dc.creatorFortunel, Clairespa
dc.creatorHaase, Josephinespa
dc.creatorHoll, Karen D.spa
dc.creatorJactel, Hervéspa
dc.creatorLi, Xuefeispa
dc.creatorKitajima, Kaoruspa
dc.creatorKoricheva, Juliaspa
dc.creatorMartínez?Garza, Cristinaspa
dc.creatorMessier, Christianspa
dc.creatorPaquette, Alainspa
dc.creatorPhilipson, Christopherspa
dc.creatorPiotto, Danielspa
dc.creatorPoorter, Lourensspa
dc.creatorPosada Hostettler, Juan Manuel Robertospa
dc.creatorPotvin, Catherinespa
dc.creatorRainio, Kallespa
dc.creatorRusso, Sabrina E.spa
dc.creatorRuiz?Jaen, Mariacarmenspa
dc.creatorScherer?Lorenzen, Michaelspa
dc.creatorWebb, Campbell O.spa
dc.creatorWright, S. Josephspa
dc.creatorZahawi, Rakan A.spa
dc.creatorHector, Andyspa
dc.date.accessioned2020-05-25T23:56:07Z
dc.date.available2020-05-25T23:56:07Z
dc.date.created2015spa
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.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1111/1365-2745.12401
dc.identifier.issn00220477
dc.identifier.issn13652745
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22328
dc.language.isoengspa
dc.publisherBlackwell Publishing Ltdspa
dc.relation.citationEndPage989
dc.relation.citationIssueNo. 4
dc.relation.citationStartPage978
dc.relation.citationTitleJournal of Ecology
dc.relation.citationVolumeVol. 103
dc.relation.ispartofJournal of Ecology, ISSN:00220477, 13652745, Vol.103, No.4 (2015); pp. 978-989spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84931570588&doi=10.1111%2f1365-2745.12401&partnerID=40&md5=2df9a2ecb8eecbf49f78ea493d7e5661spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordBiogeographical regionspa
dc.subject.keywordCommunity dynamicsspa
dc.subject.keywordDatabasespa
dc.subject.keywordEnvironmental gradientspa
dc.subject.keywordEvapotranspirationspa
dc.subject.keywordFunctional morphologyspa
dc.subject.keywordGrowth ratespa
dc.subject.keywordIndividual variationspa
dc.subject.keywordJuvenilespa
dc.subject.keywordLeaf areaspa
dc.subject.keywordSeedspa
dc.subject.keywordWoodspa
dc.subject.keywordWoody plantspa
dc.subject.keywordFunctional ecologyspa
dc.subject.keywordFundiveuropespa
dc.subject.keywordGrowthspa
dc.subject.keywordHierarchical modelsspa
dc.subject.keywordPlant population and community dynamicsspa
dc.subject.keywordRelative growth ratespa
dc.subject.keywordSize-standardized growth ratespa
dc.subject.keywordTreedivnetspa
dc.titleGlobally, functional traits are weak predictors of juvenile tree growth, and we do not know whyspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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