MATHEMATICAL TOOLS ASSOCIATED WITH MAGNETIC SUSCEPTIBILITY AND LANDSCAPE MODELS IN IDENTIFYING AREAS FOR SPECIFIC MANAGEMENT PRACTICES

Página do item simplificado
dc.contributor.authorRocha Matias, Sammy Sidney
dc.contributor.authorMarques Junior, Jose [UNESP]
dc.contributor.authorPereira, Gener Tadeu [UNESP]
dc.contributor.authorSiqueira, Diego Silva [UNESP]
dc.contributor.institutionUniv Estadual Piaui
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-27T02:12:24Z
dc.date.available2018-11-27T02:12:24Z
dc.date.issued2015-07-01
dc.description.abstractThe identification of variability patterns through soil properties allows land use and occupation in a sustainable manner. The aim of this study was to ascertain the potential of magnetic susceptibility of the soil and landscape models in defining areas for specific management practices through the use of mathematical tools. The study area is in the municipality of Guariba, SP, Brazil. We chose an area of 110 ha in which three geomorphic surfaces (I, II, and III) had been identified and mapped. In this area, we collected 204 soil samples in a transect at depths of 0.00-0.20 and 0.60-0.80 m. We determined pH in CaCl2, and quantified the contents of sand and clay, organic matter, P, Ca, Mg, K, H+Al, and calculated BS, CEC, and V. Magnetic susceptibility (MS) was measured with the aid of an analytical balance. The mathematical limits of the split moving-windows dissimilarity analysis (SMWDA) technique, using the information from magnetic susceptibility, coincided with the field boundaries identified based on the landscape models. The combined use of magnetic susceptibility, mathematical modeling, and landscape models allowed faster and less expensive identification of different management areas, locations with different levels of clay content and soil fertility levels. Magnetic susceptibility may be adopted as an alternative for identification and mapping of management units.en
dc.description.affiliationUniv Estadual Piaui, Dept Agron, Corrente, Piaui, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Solos & Adubos, Sao Paulo, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Sao Paulo, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Solos & Adubos, Programa Posgrad Agron Ciencia Solo, Sao Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Solos & Adubos, Sao Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Sao Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Solos & Adubos, Programa Posgrad Agron Ciencia Solo, Sao Paulo, Brazil
dc.format.extent968-980
dc.identifierhttp://dx.doi.org/10.1590/01000683rbcs20140638
dc.identifier.citationRevista Brasileira De Ciencia Do Solo. Vicosa: Soc Brasileira De Ciencia Do Solo, v. 39, n. 4, p. 968-980, 2015.
dc.identifier.doi10.1590/01000683rbcs20140638
dc.identifier.fileS0100-06832015000400968.pdf
dc.identifier.issn0100-0683
dc.identifier.scieloS0100-06832015000400968
dc.identifier.urihttp://hdl.handle.net/11449/164928
dc.identifier.wosWOS:000362369800005
dc.language.isopor
dc.publisherSoc Brasileira De Ciencia Do Solo
dc.relation.ispartofRevista Brasileira De Ciencia Do Solo
dc.relation.ispartofsjr0,679
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectgeomorphic surface
dc.subjectmultivariate statistics
dc.subjectsplit moving windows
dc.titleMATHEMATICAL TOOLS ASSOCIATED WITH MAGNETIC SUSCEPTIBILITY AND LANDSCAPE MODELS IN IDENTIFYING AREAS FOR SPECIFIC MANAGEMENT PRACTICESen
dc.typeArtigo
dcterms.rightsHolderSoc Brasileira De Ciencia Do Solo
unesp.author.orcid0000-0003-3339-1143[4]

Arquivos

Pacote Original
Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
S0100-06832015000400968.pdf
Tamanho:
580.35 KB
Formato:
Adobe Portable Document Format
Baixar

Coleções

Artigos - Solos e Adubos - FCAV
Artigos - Ciências Exatas - FCAV