Soil CO2 emission estimated by different interpolation techniques

dc.contributor.authorTeixeira, Daniel de Bortoli [UNESP]
dc.contributor.authorPanosso, Alan Rodrigo [UNESP]
dc.contributor.authorPelegrino Cerri, Carlos Eduardo
dc.contributor.authorPereira, Gener Tadeu [UNESP]
dc.contributor.authorLa Scala, Newton [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2014-05-20T13:13:42Z
dc.date.available2014-05-20T13:13:42Z
dc.date.issued2011-08-01
dc.description.abstractSoil CO2 emissions are highly variable, both spatially and across time, with significant changes even during a one-day period. The objective of this study was to compare predictions of the diurnal soil CO2 emissions in an agricultural field when estimated by ordinary kriging and sequential Gaussian simulation. The dataset consisted of 64 measurements taken in the morning and in the afternoon on bare soil in southern Brazil. The mean soil CO2 emissions were significantly different between the morning (4.54 mu mol m(-2) s(-1)) and afternoon (6.24 mu mol m(-2) s(-1)) measurements. However, the spatial variability structures were similar, as the models were spherical and had close range values of 40.1 and 40.0 m for the morning and afternoon semivariograms. In both periods, the sequential Gaussian simulation maps were more efficient for the estimations of emission than ordinary kriging. We believe that sequential Gaussian simulation can improve estimations of soil CO2 emissions in the field, as this property is usually highly non-Gaussian distributed.en
dc.description.affiliationUniv Estadual Paulista, FCAV UNESP, Dept Ciencias Exatas, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationUniv São Paulo, ESALQ USP, Dept Ciência Solo, BR-13418900 Piracicaba, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, FCAV UNESP, Dept Ciencias Exatas, BR-14884900 Jaboticabal, SP, 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.format.extent187-194
dc.identifierhttp://dx.doi.org/10.1007/s11104-011-0770-6
dc.identifier.citationPlant and Soil. Dordrecht: Springer, v. 345, n. 1-2, p. 187-194, 2011.
dc.identifier.doi10.1007/s11104-011-0770-6
dc.identifier.issn0032-079X
dc.identifier.lattes7053426037771460
dc.identifier.lattes1449605928537533
dc.identifier.urihttp://hdl.handle.net/11449/1405
dc.identifier.wosWOS:000292999700014
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofPlant and Soil
dc.relation.ispartofjcr3.306
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectSoil respirationen
dc.subjectGeostatisticsen
dc.subjectordinary krigingen
dc.subjectSequential Gaussian simulationen
dc.titleSoil CO2 emission estimated by different interpolation techniquesen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
unesp.author.lattes7053426037771460
unesp.author.lattes1449605928537533
unesp.author.lattes2134397589741043[2]
unesp.author.orcid0000-0001-9916-1696[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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