Pedometric tools to characterize soil granulometric composition from hydromorphical soil profiles

Detalhes bibliográficos
Autor(a) principal: Pinheiro, Helena Saraiva Koenow
Data de Publicação: 2016
Outros Autores: Chagas, César da Silva, Carvalho Júnior, Waldir de, Anjos, Lúcia Helena Cunha dos
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/22453
Resumo: The objective of this work was to evaluate pedometric tools to characterize the particle size distribution (sand, silt, and clay) and to compare the profiles of hydromorphic soils. The study was carried out in the Guapi-Macacu watershed, in the state of Rio de Janeiro, Brazil. The slice-wise algorithm was applied to slice the profile data at 1-cm intervals, and the equal-area spline function for database harmonization, according to six predefined depth intervals. The analysis of the soil profile collection, using the soil-depth functions (slice‑wise and spline) and the similarity analysis, revealed that Alfisols and Entisols are relatively shallow and have coarse texture in the topsoil layer and a more irregular distribution of clay and silt along the soil profile.These two orders usually occur in the watershed area related to floodplains, valleys, and footslopes. Fluvisols had higher amounts of clay and silt in the topsoil layer, which decrease with soil depth, and they are deeper and occur in alluvial terraces. The approach allowed to characterize the variability of texture along hydromorphical soil profiles and to perform a similarity analysis between soil orders, which can support the differentiation of soil mapping units and the identification of quantitative criteria for soil classification.
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spelling Pedometric tools to characterize soil granulometric composition from hydromorphical soil profilesFerramentas de pedometria para caracterização da composição granulométrica de perfis de solos hidromórficosalgorithm for quantitative pedology, pedological database, soil classification, soil-depth functions, harmonization of soil data, soil mappingalgoritmo para pedologia quantitativa, banco de dados pedológicos, classificação do solo, funções de profundidade, harmonização de dados, mapeamento do soloThe objective of this work was to evaluate pedometric tools to characterize the particle size distribution (sand, silt, and clay) and to compare the profiles of hydromorphic soils. The study was carried out in the Guapi-Macacu watershed, in the state of Rio de Janeiro, Brazil. The slice-wise algorithm was applied to slice the profile data at 1-cm intervals, and the equal-area spline function for database harmonization, according to six predefined depth intervals. The analysis of the soil profile collection, using the soil-depth functions (slice‑wise and spline) and the similarity analysis, revealed that Alfisols and Entisols are relatively shallow and have coarse texture in the topsoil layer and a more irregular distribution of clay and silt along the soil profile.These two orders usually occur in the watershed area related to floodplains, valleys, and footslopes. Fluvisols had higher amounts of clay and silt in the topsoil layer, which decrease with soil depth, and they are deeper and occur in alluvial terraces. The approach allowed to characterize the variability of texture along hydromorphical soil profiles and to perform a similarity analysis between soil orders, which can support the differentiation of soil mapping units and the identification of quantitative criteria for soil classification.O objetivo deste trabalho foi avaliar ferramentas pedométricas para caracterização da composição granulométrica (areia, silte e argila) e comparação de perfis de solos hidromórficos. O estudo foi realizado na bacia hidrográfica do rio Guapi-Macacu, RJ. Foram aplicados o algoritmo “slice-wise” para o fatiamento doperfil em intervalos de 1 cm, e a função “spline” para harmonizar o conjunto de dados segundo seis intervalos deprofundidade predefinidos. A análise do conjunto de perfis, por meio das funções de profundidade (slice-wise e spline) e de dendrograma de dissimilaridade, revelou que Planossolos e Gleissolos são relativamente rasos e apresentam camadas arenosas nos horizontes superficiais e teores de argila e silte irregulares em subsuperficie. Essas duas ordens ocorrem na área da bacia hidrográfica geralmente em planícies aluviais, em vales e em sopés de elevação. Os Neossolos Flúvicos apresentaram maiores quantidades de argila e silte em superfície, as quaisdecrescem em profundidade, e são mais profundos e ocorrem nos terraços aluviais. A abordagem permitiu descrever a variabilidade da textura dos solos hidromórficos em perfil e realizar a análise de similaridade entre as ordens, o que pode apoiar a distinção de fases em unidades de mapeamento e a identificação de critérios quantitativos para a classificação dos solos.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes)Conselho Nacional de Desenvolvimento Científico (CNPq)Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (Faperj).Pinheiro, Helena Saraiva KoenowChagas, César da SilvaCarvalho Júnior, Waldir deAnjos, Lúcia Helena Cunha dos2016-10-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/22453Pesquisa Agropecuaria Brasileira; v.51, n.9, set. 2016: Número Temático O solo como fator de integração entre os componentes ambientais e a produção agropecuária; 1326-1338Pesquisa Agropecuária Brasileira; v.51, n.9, set. 2016: Número Temático O solo como fator de integração entre os componentes ambientais e a produção agropecuária; 1326-13381678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/22453/13487https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14468https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14469https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14470https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14471https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14472https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14473https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14474https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14475https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14476https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14477https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14478https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14479https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14480https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14501https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14908Direitos autorais 2016 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2016-10-31T17:52:12Zoai:ojs.seer.sct.embrapa.br:article/22453Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2016-10-31T17:52:12Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Pedometric tools to characterize soil granulometric composition from hydromorphical soil profiles
Ferramentas de pedometria para caracterização da composição granulométrica de perfis de solos hidromórficos
title Pedometric tools to characterize soil granulometric composition from hydromorphical soil profiles
spellingShingle Pedometric tools to characterize soil granulometric composition from hydromorphical soil profiles
Pinheiro, Helena Saraiva Koenow
algorithm for quantitative pedology, pedological database, soil classification, soil-depth functions, harmonization of soil data, soil mapping
algoritmo para pedologia quantitativa, banco de dados pedológicos, classificação do solo, funções de profundidade, harmonização de dados, mapeamento do solo
title_short Pedometric tools to characterize soil granulometric composition from hydromorphical soil profiles
title_full Pedometric tools to characterize soil granulometric composition from hydromorphical soil profiles
title_fullStr Pedometric tools to characterize soil granulometric composition from hydromorphical soil profiles
title_full_unstemmed Pedometric tools to characterize soil granulometric composition from hydromorphical soil profiles
title_sort Pedometric tools to characterize soil granulometric composition from hydromorphical soil profiles
author Pinheiro, Helena Saraiva Koenow
author_facet Pinheiro, Helena Saraiva Koenow
Chagas, César da Silva
Carvalho Júnior, Waldir de
Anjos, Lúcia Helena Cunha dos
author_role author
author2 Chagas, César da Silva
Carvalho Júnior, Waldir de
Anjos, Lúcia Helena Cunha dos
author2_role author
author
author
dc.contributor.none.fl_str_mv
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes)
Conselho Nacional de Desenvolvimento Científico (CNPq)
Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (Faperj).
dc.contributor.author.fl_str_mv Pinheiro, Helena Saraiva Koenow
Chagas, César da Silva
Carvalho Júnior, Waldir de
Anjos, Lúcia Helena Cunha dos
dc.subject.por.fl_str_mv algorithm for quantitative pedology, pedological database, soil classification, soil-depth functions, harmonization of soil data, soil mapping
algoritmo para pedologia quantitativa, banco de dados pedológicos, classificação do solo, funções de profundidade, harmonização de dados, mapeamento do solo
topic algorithm for quantitative pedology, pedological database, soil classification, soil-depth functions, harmonization of soil data, soil mapping
algoritmo para pedologia quantitativa, banco de dados pedológicos, classificação do solo, funções de profundidade, harmonização de dados, mapeamento do solo
description The objective of this work was to evaluate pedometric tools to characterize the particle size distribution (sand, silt, and clay) and to compare the profiles of hydromorphic soils. The study was carried out in the Guapi-Macacu watershed, in the state of Rio de Janeiro, Brazil. The slice-wise algorithm was applied to slice the profile data at 1-cm intervals, and the equal-area spline function for database harmonization, according to six predefined depth intervals. The analysis of the soil profile collection, using the soil-depth functions (slice‑wise and spline) and the similarity analysis, revealed that Alfisols and Entisols are relatively shallow and have coarse texture in the topsoil layer and a more irregular distribution of clay and silt along the soil profile.These two orders usually occur in the watershed area related to floodplains, valleys, and footslopes. Fluvisols had higher amounts of clay and silt in the topsoil layer, which decrease with soil depth, and they are deeper and occur in alluvial terraces. The approach allowed to characterize the variability of texture along hydromorphical soil profiles and to perform a similarity analysis between soil orders, which can support the differentiation of soil mapping units and the identification of quantitative criteria for soil classification.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-17
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/22453
url https://seer.sct.embrapa.br/index.php/pab/article/view/22453
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/22453/13487
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14468
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14469
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14470
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14471
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14472
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14473
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14474
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14475
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14476
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14477
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14478
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14479
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14480
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14501
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/22453/14908
dc.rights.driver.fl_str_mv Direitos autorais 2016 Pesquisa Agropecuária Brasileira
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2016 Pesquisa Agropecuária Brasileira
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.51, n.9, set. 2016: Número Temático O solo como fator de integração entre os componentes ambientais e a produção agropecuária; 1326-1338
Pesquisa Agropecuária Brasileira; v.51, n.9, set. 2016: Número Temático O solo como fator de integração entre os componentes ambientais e a produção agropecuária; 1326-1338
1678-3921
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