2015
DOI: 10.1590/01000683rbcs20130415
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Agrupamento De Pedons De Cambissolos Húmicos Com Base Em Atributos Físicos E Químicos Utilizando a Estatística Multivariada

Abstract: RESUMOEm um levantamento pedológico, a descrição detalhada do conjunto de atributos do solo é fundamental para se analisar e compreender as interações dos diversos processos que ocorrem no solo. Para tanto, a análise multivariada pode ser uma ferramenta estatística importante para interpretar e compreender melhor as relações e semelhanças entre pedons. Os objetivos deste trabalho foram diferenciar e agrupar pedons similares com base em atributos físicos e químicos usando a estatística multivariada. O estudo fo… Show more

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Cited by 3 publications
(3 citation statements)
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“…Os teores médios de argila e MO foram de 25% e 5,8%, respectivamente. Estes valores ocorrem em grande parte dos Cambissolos da região (SANTOS et al, 2015;DORTZBACH et al, 2016).…”
Section: Resultsunclassified
“…Os teores médios de argila e MO foram de 25% e 5,8%, respectivamente. Estes valores ocorrem em grande parte dos Cambissolos da região (SANTOS et al, 2015;DORTZBACH et al, 2016).…”
Section: Resultsunclassified
“…Thus, these attributes are important to distinguish environments and characterize soils. Santos et al (2015) used multivariate analysis to evaluate the variability of attributes of Cambissolos in Lajes SC, Brazil, and found chemical and physical attributes as determinant factors for differentiating soil profiles, with organic carbon content, active and potential acidity, and base saturation as the most important chemical attributes; and pore volume, soil density, and total porosity as the most important physical attributes. Martins et al (2010) used multivariate analysis in Luvissolos of the semiarid region of Pernambuco and found chemical and microbiological attributes as the most sensitive for the distinction of the environments.…”
Section: Resultsmentioning
confidence: 99%
“…This can deepen knowledge regarding the pedogeomorphological relationships of these soils (Carvalho Junior et al, 2008) and taxonomic interpretation of them by means of numerical classification (Pedron et al, 2012). Multivariate statistical methods can potentially be applied in pedological surveys and in the study of soil properties (Webster and Oliver, 1990;Kravchenko et al, 2002), which would make it possible to predict the occurrence of similar pedons and to delimit the mapping units (Demattê and Garcia, 1999;Demattê and Nanni, 2003;Santos et al, 2015a). …”
Section: Introductionmentioning
confidence: 99%