Spatial variability of iron oxides in soils from Brazilian sandstone and basalt
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
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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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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1808129520663789568 |