Why is it so difficult to identify a single indicator of water stress in plants? A proposal for a multivariate analysis to assess emergent properties

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dc.contributor.authorBertolli, S. C. [UNESP]
dc.contributor.authorMazzafera, P.
dc.contributor.authorSouza, G. M.
dc.contributor.institutionUniversidade do Oeste Paulista (UNOESTE)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2014-12-03T13:11:00Z
dc.date.available2014-12-03T13:11:00Z
dc.date.issued2014-05-01
dc.description.abstractBecause of the complexity of plant responses to water deficit, researchers have attempted to identify simplified models to understand critical aspects of the problem by searching for single indicators that would enable evaluations of the effects of environmental changes on the entire plant. However, this reductionist approach, which is often used in plant sciences, makes it difficult to distinguish systemic emergent behaviours. Currently, a new class of models and epistemology have called attention to the fundamental properties of complex systems. These properties, termed 'emergent', are observed at a large scale of the system (top hierarchical level) but cannot be observed or inferred from smaller scales of observation in the same system. We propose that multivariate statistical analysis can provide a suitable tool to quantify global responses to water deficit, allowing a specific and partially quantitative assessment of emergent properties. Based on an experimental study, our results showed that the classical approach of the individual analysis of different data sets might provide different interpretations for the observed effects of water deficit. These results support the hypothesis that a cross-scale multivariate analysis is an appropriate method to establish models for systemic understanding of the interactions between plants and their changing environment.en
dc.description.affiliationUniv Oeste Paulista, Plant Ecol Cognit Lab, BR-19067175 Presidente Prudente, SP, Brazil
dc.description.affiliationUniv Estadual Paulista Julio de Mesquita Filho UN, Inst Biociencias, Programa Posgrad Biol Vegetal, Rio Claro, Brazil
dc.description.affiliationUniv Estadual Campinas UNICAMP, Inst Biol, Dept Biol Vegetal, Campinas, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista Julio de Mesquita Filho UN, Inst Biociencias, Programa Posgrad Biol Vegetal, Rio Claro, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 08/57571-1
dc.description.sponsorshipIdFAPESP: 09/11212-3
dc.format.extent578-585
dc.identifierhttp://dx.doi.org/10.1111/plb.12088
dc.identifier.citationPlant Biology. Hoboken: Wiley-blackwell, v. 16, n. 3, p. 578-585, 2014.
dc.identifier.doi10.1111/plb.12088
dc.identifier.issn1435-8603
dc.identifier.urihttp://hdl.handle.net/11449/112724
dc.identifier.wosWOS:000334046100007
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofPlant Biology
dc.relation.ispartofjcr2.156
dc.relation.ispartofsjr0,939
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjecthierarchyen
dc.subjectphotosynthesisen
dc.subjectstressen
dc.subjectwater deficiten
dc.subjectemergenceen
dc.subjectprincipal components analysisen
dc.subjectComplex systemsen
dc.titleWhy is it so difficult to identify a single indicator of water stress in plants? A proposal for a multivariate analysis to assess emergent propertiesen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-Blackwell
unesp.author.orcid0000-0001-6754-4860[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Biociências, Rio Claropt

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