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

Detalhes bibliográficos
Autor(a) principal: Silva, Laércio Santos [UNESP]
Data de Publicação: 2020
Outros Autores: Marques Júnior, José [UNESP], Barrón, Vidal, Gomes, Romário Pimenta [UNESP], Teixeira, Daniel De Bortoli, Siqueira, Diego Silva [UNESP], Vasconcelos, Vinícius
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.catena.2019.104258
http://hdl.handle.net/11449/199555
Resumo: Iron 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.
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spelling Spatial variability of iron oxides in soils from Brazilian sandstone and basaltDiffuse reflectance spectroscopyGoethiteHematiteMappingPedometricsIron 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Soils and Fertilizers Research Group CSME - Soil Characterization for Specific Management Faculty of Agrarian and Veterinary Sciences São Paulo State University (FCAV/UNESP)Department of Agronomy Córdoba UniversityCenter of Agrarian Sciences University of Marília (Unimar)Department of Geography University of Brasília (UnB)Department of Soils and Fertilizers Research Group CSME - Soil Characterization for Specific Management Faculty of Agrarian and Veterinary Sciences São Paulo State University (FCAV/UNESP)FAPESP: 402796/2016-0Universidade Estadual Paulista (Unesp)Córdoba UniversityUniversity of Marília (Unimar)University of Brasília (UnB)Silva, Laércio Santos [UNESP]Marques Júnior, José [UNESP]Barrón, VidalGomes, Romário Pimenta [UNESP]Teixeira, Daniel De BortoliSiqueira, Diego Silva [UNESP]Vasconcelos, Vinícius2020-12-12T01:43:09Z2020-12-12T01:43:09Z2020-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.catena.2019.104258Catena, v. 185.0341-8162http://hdl.handle.net/11449/19955510.1016/j.catena.2019.1042582-s2.0-85073986928Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCatenainfo:eu-repo/semantics/openAccess2024-06-07T14:24:20Zoai:repositorio.unesp.br:11449/199555Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:26:25.123855Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatial variability of iron oxides in soils from Brazilian sandstone and basalt
title Spatial variability of iron oxides in soils from Brazilian sandstone and basalt
spellingShingle Spatial variability of iron oxides in soils from Brazilian sandstone and basalt
Silva, Laércio Santos [UNESP]
Diffuse reflectance spectroscopy
Goethite
Hematite
Mapping
Pedometrics
title_short Spatial variability of iron oxides in soils from Brazilian sandstone and basalt
title_full Spatial variability of iron oxides in soils from Brazilian sandstone and basalt
title_fullStr Spatial variability of iron oxides in soils from Brazilian sandstone and basalt
title_full_unstemmed Spatial variability of iron oxides in soils from Brazilian sandstone and basalt
title_sort Spatial variability of iron oxides in soils from Brazilian sandstone and basalt
author Silva, Laércio Santos [UNESP]
author_facet Silva, Laércio Santos [UNESP]
Marques Júnior, José [UNESP]
Barrón, Vidal
Gomes, Romário Pimenta [UNESP]
Teixeira, Daniel De Bortoli
Siqueira, Diego Silva [UNESP]
Vasconcelos, Vinícius
author_role author
author2 Marques Júnior, José [UNESP]
Barrón, Vidal
Gomes, Romário Pimenta [UNESP]
Teixeira, Daniel De Bortoli
Siqueira, Diego Silva [UNESP]
Vasconcelos, Vinícius
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Córdoba University
University of Marília (Unimar)
University of Brasília (UnB)
dc.contributor.author.fl_str_mv Silva, Laércio Santos [UNESP]
Marques Júnior, José [UNESP]
Barrón, Vidal
Gomes, Romário Pimenta [UNESP]
Teixeira, Daniel De Bortoli
Siqueira, Diego Silva [UNESP]
Vasconcelos, Vinícius
dc.subject.por.fl_str_mv Diffuse reflectance spectroscopy
Goethite
Hematite
Mapping
Pedometrics
topic Diffuse reflectance spectroscopy
Goethite
Hematite
Mapping
Pedometrics
description Iron 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T01:43:09Z
2020-12-12T01:43:09Z
2020-02-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.catena.2019.104258
Catena, v. 185.
0341-8162
http://hdl.handle.net/11449/199555
10.1016/j.catena.2019.104258
2-s2.0-85073986928
url http://dx.doi.org/10.1016/j.catena.2019.104258
http://hdl.handle.net/11449/199555
identifier_str_mv Catena, v. 185.
0341-8162
10.1016/j.catena.2019.104258
2-s2.0-85073986928
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Catena
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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