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dc.contributor.authorBertolli, S. C.-
dc.contributor.authorMazzafera, P.-
dc.contributor.authorSouza, G. M.-
dc.identifier.citationPlant Biology. Hoboken: Wiley-blackwell, v. 16, n. 3, p. 578-585, 2014.-
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.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.sourceWeb of Science-
dc.subjectwater deficiten
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.contributor.institutionUniversidade do Oeste Paulista (UNOESTE)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
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.sponsorshipIdFAPESP: 08/57571-1-
dc.description.sponsorshipIdFAPESP: 09/11212-3-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofPlant Biology-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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