Sampling density and proportion for the characterization of the variability of Oxisol attributes on different materials

Página do item simplificado
dc.contributor.authorSiqueira, D. S. [UNESP]
dc.contributor.authorMarques, J. [UNESP]
dc.contributor.authorPereira, G. T. [UNESP]
dc.contributor.authorBarbosa, R. S. [UNESP]
dc.contributor.authorTeixeira, D. B. [UNESP]
dc.contributor.authorPeluco, R. G. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2015-03-18T15:53:31Z
dc.date.available2015-03-18T15:53:31Z
dc.date.issued2014-11-01
dc.description.abstractEstablishing a soil sampling plan is one of the most important stages for providing the detailed information required for sustainable land management. This study aims to investigate the most appropriate sampling density and proportion for the characterization of Oxisol attributes on different materials, using the magnetic susceptibility (MS). The studied area is located in Sao Paulo State, Brazil, in Guatapard Town and its size is 380 ha. To evaluate the subsampling effect in the variability description, 60 samples were collected from part of the area (150 ha) in the density of one point per 2.5 ha, using both simple sampling and subsamples with three points. Different sampling densities were obtained (3; 4; 5; 6; 7; 8; and one point per 9 ha) by the exclusion of points. The evaluated attributes were: clay content; base saturation and MS at 0.00-0.25 and 0.25-0.50 m depths. There were no differences among spatial variability maps generated from either simple or subsamples. This information might precede a change in the sampling system for the agricultural industry. The minimal sampling density required so that there is no loss in the spatial variability representativeness was one point per 7 ha. MS may be used to upgrade clay content estimates in the sampling proportion of three points of MS for per clay point (one point per 2.5 ha for MS: one point per 7 ha). (C) 2014 Elsevier B.V. All rights reserved.en
dc.description.affiliationState Univ Sao Paulo, UNESP, Dept Soils & Fertilizers, Jaboticabal, SP, Brazil
dc.description.affiliationState Univ Sao Paulo, UNESP, Dept Exact Sci, Jaboticabal, SP, Brazil
dc.description.affiliationUnespState Univ Sao Paulo, UNESP, Dept Soils & Fertilizers, Jaboticabal, SP, Brazil
dc.description.affiliationUnespState Univ Sao Paulo, UNESP, Dept Exact Sci, Jaboticabal, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 11/06053-3
dc.format.extent172-182
dc.identifierhttp://dx.doi.org/10.1016/j.geoderma.2014.04.037
dc.identifier.citationGeoderma. Amsterdam: Elsevier Science Bv, v. 232, p. 172-182, 2014.
dc.identifier.doi10.1016/j.geoderma.2014.04.037
dc.identifier.issn0016-7061
dc.identifier.lattes7053426037771460
dc.identifier.urihttp://hdl.handle.net/11449/116564
dc.identifier.wosWOS:000340315700019
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofGeoderma
dc.relation.ispartofjcr3.740
dc.relation.ispartofsjr1,717
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectSampling planen
dc.subjectMagnetic susceptibilityen
dc.subjectStratified samplingen
dc.subjectAgreement indexen
dc.titleSampling density and proportion for the characterization of the variability of Oxisol attributes on different materialsen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.author.lattes7053426037771460
unesp.author.orcid0000-0001-8172-7911[5]
unesp.author.orcid0000-0003-3339-1143[1]
unesp.author.orcid0000-0001-6341-8154[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

Arquivos

Coleções

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