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- W2209399055 abstract "Changes in land cover and land use changes promote the quantity and quality of soil chemical properties and consequently on soil organic carbon. In this context, the aim of this work was to evaluate the changes of chemical properties of an Oxisol under different managements, using multivariate analysis. We selected three adjacent areas (forest, sugar cane and reforested area), in the municipality of Jaboticabal (SP). In each area, were collected, randomly, four samples, in layers of 0.0-0.10 m and 0.10-0.20 m. We evaluated the chemical attributes, such as: pH, organic matter content, potassium, calcium, magnesium, aluminum, potential acidity, sulfur, boron, copper, iron, manganese, zinc, of each sample in the two studied depths. The cluster analysis and principal components allowed identifying the formation of two groups, one formed by native forest, and the other by area in reforestation and the area planted with sugar cane. The cluster analyzes and principal component identify the native forest behaved differently and the reforested area planted to sugar cane, and area with cane sugar and reforested provided similar and different from the forest area native. The use of multivariate techniques was efficient to check for similarities or differences based on soil chemical properties in each environment studied." @default.
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- W2209399055 date "2014-01-01" @default.
- W2209399055 modified "2023-09-26" @default.
- W2209399055 title "Multivariate analyzes of soil chemical attributes for characterization of environments." @default.
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