Spatial variability of iron oxides in soils from Brazilian sandstone and basalt

dc.contributor.authorSilva, Laércio Santos [UNESP]
dc.contributor.authorMarques Júnior, José [UNESP]
dc.contributor.authorBarrón, Vidal
dc.contributor.authorGomes, Romário Pimenta [UNESP]
dc.contributor.authorTeixeira, Daniel De Bortoli
dc.contributor.authorSiqueira, Diego Silva [UNESP]
dc.contributor.authorVasconcelos, Vinícius
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionCórdoba University
dc.contributor.institutionUniversity of Marília (Unimar)
dc.contributor.institutionUniversity of Brasília (UnB)
dc.date.accessioned2020-12-12T01:43:09Z
dc.date.available2020-12-12T01:43:09Z
dc.date.issued2020-02-01
dc.description.abstractIron oxides as goethite (Gt) and hematite (Hm) are key minerals to better understand the soil–landscape relationships. Soil samples were collected at three stages of landscape dissection from the geological formations of Vale do Rio do Peixe (sandstone) and Serra Geral (basalt) in the Western Paulista Plateau (WPP), Brazil. Both iron oxides were quantified by X-ray diffraction (XRD) and diffuse reflectance spectroscopy (DRS), and the results were subjected to geostatistical analysis in order to assess the usefulness of DRS for characterizing the spatial variability in Gt and Hm. The prevalence and spatial variability of Hm and Gt in the soils were governed by the sandstone/basalt lithological contrast and landscape dissection. Iron oxides in the clay fraction exhibited high spatial variability over a large area and can be robust indicators of geological diversity and landscape dissection in pedoenvironments with low or high contents of iron oxides. Goethite had the highest spatial variability. Based on the spatial pattern of the differences between DRS and XRD estimates, the saturated red color in soil made DRS less useful for quantifying Hm in environments with high iron oxide contents. The maps indicate the sensitivity of XRD and DRS techniques to represent Hm and Gt spatial variability patterns. Gt was more sensitive to landscape dissection while Hm sensitive to lithology. Thus, the DRS technique is efficient in characterizing the spatial variability of these soil oxides in large areas, even considering the complex relations between soil and landscape.en
dc.description.affiliationDepartment of Soils and Fertilizers Research Group CSME - Soil Characterization for Specific Management Faculty of Agrarian and Veterinary Sciences São Paulo State University (FCAV/UNESP)
dc.description.affiliationDepartment of Agronomy Córdoba University
dc.description.affiliationCenter of Agrarian Sciences University of Marília (Unimar)
dc.description.affiliationDepartment of Geography University of Brasília (UnB)
dc.description.affiliationUnespDepartment of Soils and Fertilizers Research Group CSME - Soil Characterization for Specific Management Faculty of Agrarian and Veterinary Sciences São Paulo State University (FCAV/UNESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 402796/2016-0
dc.identifierhttp://dx.doi.org/10.1016/j.catena.2019.104258
dc.identifier.citationCatena, v. 185.
dc.identifier.doi10.1016/j.catena.2019.104258
dc.identifier.issn0341-8162
dc.identifier.scopus2-s2.0-85073986928
dc.identifier.urihttp://hdl.handle.net/11449/199555
dc.language.isoeng
dc.relation.ispartofCatena
dc.sourceScopus
dc.subjectDiffuse reflectance spectroscopy
dc.subjectGoethite
dc.subjectHematite
dc.subjectMapping
dc.subjectPedometrics
dc.titleSpatial variability of iron oxides in soils from Brazilian sandstone and basalten
dc.typeArtigo

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