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Provedor de dados:  90
País:  Brazil
Título:  Spatial variability of soil chemical properties after coffee tree removal
Autores:  Vieira,Sidney Rosa
Guedes Filho,Osvaldo
Chiba,Márcio Koiti
Cantarella,Heitor
Data:  2009-10-01
Ano:  2009
Palavras-chave:  Geostatistics
Soil fertility
Traditional management
Semivariogram
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.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832009000500041
Editor:  Sociedade Brasileira de Ciência do Solo
Relação:  10.1590/S0100-06832009000500041
Formato:  text/html
Fonte:  Revista Brasileira de Ciência do Solo v.33 n.5 2009
Direitos:  info:eu-repo/semantics/openAccess
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