Spatial variability of soil chemical properties after coffee tree removal

Detalhes bibliográficos
Autor(a) principal: Vieira,Sidney Rosa
Data de Publicação: 2009
Outros Autores: Guedes Filho,Osvaldo, Chiba,Márcio Koiti, Cantarella,Heitor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Ciência do Solo (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832009000500041
Resumo: Assessing the spatial variability of soil chemical properties has become an important aspect of soil management strategies with a view to higher crop yields with minimal environmental degradation. This study was carried out at the Centro Experimental of the Instituto Agronomico, in Campinas, São Paulo, Brazil. The aim was to characterize the spatial variability of chemical properties of a Rhodic Hapludox on a recently bulldozer-cleaned area after over 30 years of coffee cultivation. Soil samples were collected in a 20 x 20 m grid with 36 sampling points across a 1 ha area in the layers 0.0-0.2 and 0.2-0.4 m to measure the following chemical properties: pH, organic matter, K+, P, Ca2+, Mg2+, potential acidity, NH4-N, and NO3-N. Descriptive statistics were applied to assess the central tendency and dispersion moments. Geostatistical methods were applied to evaluate and to model the spatial variability of variables by calculating semivariograms and kriging interpolation. Spatial dependence patterns defined by spherical model adjusted semivariograms were made for all cited soil properties. Moderate to strong degrees of spatial dependence were found between 31 and 60 m. It was still possible to map soil spatial variability properties in the layers 0-20 cm and 20-40 cm after plant removal with bulldozers.
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spelling Spatial variability of soil chemical properties after coffee tree removalGeostatisticssoil fertilitytraditional managementsemivariogramAssessing the spatial variability of soil chemical properties has become an important aspect of soil management strategies with a view to higher crop yields with minimal environmental degradation. This study was carried out at the Centro Experimental of the Instituto Agronomico, in Campinas, São Paulo, Brazil. The aim was to characterize the spatial variability of chemical properties of a Rhodic Hapludox on a recently bulldozer-cleaned area after over 30 years of coffee cultivation. Soil samples were collected in a 20 x 20 m grid with 36 sampling points across a 1 ha area in the layers 0.0-0.2 and 0.2-0.4 m to measure the following chemical properties: pH, organic matter, K+, P, Ca2+, Mg2+, potential acidity, NH4-N, and NO3-N. Descriptive statistics were applied to assess the central tendency and dispersion moments. Geostatistical methods were applied to evaluate and to model the spatial variability of variables by calculating semivariograms and kriging interpolation. Spatial dependence patterns defined by spherical model adjusted semivariograms were made for all cited soil properties. Moderate to strong degrees of spatial dependence were found between 31 and 60 m. It was still possible to map soil spatial variability properties in the layers 0-20 cm and 20-40 cm after plant removal with bulldozers.Sociedade Brasileira de Ciência do Solo2009-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832009000500041Revista Brasileira de Ciência do Solo v.33 n.5 2009reponame:Revista Brasileira de Ciência do Solo (Online)instname:Sociedade Brasileira de Ciência do Solo (SBCS)instacron:SBCS10.1590/S0100-06832009000500041info:eu-repo/semantics/openAccessVieira,Sidney RosaGuedes Filho,OsvaldoChiba,Márcio KoitiCantarella,Heitoreng2010-01-11T00:00:00Zoai:scielo:S0100-06832009000500041Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0100-0683&lng=es&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||sbcs@ufv.br1806-96570100-0683opendoar:2010-01-11T00:00Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)false
dc.title.none.fl_str_mv Spatial variability of soil chemical properties after coffee tree removal
title Spatial variability of soil chemical properties after coffee tree removal
spellingShingle Spatial variability of soil chemical properties after coffee tree removal
Vieira,Sidney Rosa
Geostatistics
soil fertility
traditional management
semivariogram
title_short Spatial variability of soil chemical properties after coffee tree removal
title_full Spatial variability of soil chemical properties after coffee tree removal
title_fullStr Spatial variability of soil chemical properties after coffee tree removal
title_full_unstemmed Spatial variability of soil chemical properties after coffee tree removal
title_sort Spatial variability of soil chemical properties after coffee tree removal
author Vieira,Sidney Rosa
author_facet Vieira,Sidney Rosa
Guedes Filho,Osvaldo
Chiba,Márcio Koiti
Cantarella,Heitor
author_role author
author2 Guedes Filho,Osvaldo
Chiba,Márcio Koiti
Cantarella,Heitor
author2_role author
author
author
dc.contributor.author.fl_str_mv Vieira,Sidney Rosa
Guedes Filho,Osvaldo
Chiba,Márcio Koiti
Cantarella,Heitor
dc.subject.por.fl_str_mv Geostatistics
soil fertility
traditional management
semivariogram
topic Geostatistics
soil fertility
traditional management
semivariogram
description Assessing the spatial variability of soil chemical properties has become an important aspect of soil management strategies with a view to higher crop yields with minimal environmental degradation. This study was carried out at the Centro Experimental of the Instituto Agronomico, in Campinas, São Paulo, Brazil. The aim was to characterize the spatial variability of chemical properties of a Rhodic Hapludox on a recently bulldozer-cleaned area after over 30 years of coffee cultivation. Soil samples were collected in a 20 x 20 m grid with 36 sampling points across a 1 ha area in the layers 0.0-0.2 and 0.2-0.4 m to measure the following chemical properties: pH, organic matter, K+, P, Ca2+, Mg2+, potential acidity, NH4-N, and NO3-N. Descriptive statistics were applied to assess the central tendency and dispersion moments. Geostatistical methods were applied to evaluate and to model the spatial variability of variables by calculating semivariograms and kriging interpolation. Spatial dependence patterns defined by spherical model adjusted semivariograms were made for all cited soil properties. Moderate to strong degrees of spatial dependence were found between 31 and 60 m. It was still possible to map soil spatial variability properties in the layers 0-20 cm and 20-40 cm after plant removal with bulldozers.
publishDate 2009
dc.date.none.fl_str_mv 2009-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832009000500041
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832009000500041
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-06832009000500041
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
dc.source.none.fl_str_mv Revista Brasileira de Ciência do Solo v.33 n.5 2009
reponame:Revista Brasileira de Ciência do Solo (Online)
instname:Sociedade Brasileira de Ciência do Solo (SBCS)
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instname_str Sociedade Brasileira de Ciência do Solo (SBCS)
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reponame_str Revista Brasileira de Ciência do Solo (Online)
collection Revista Brasileira de Ciência do Solo (Online)
repository.name.fl_str_mv Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)
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