Abstract
Concerning about land degradation, soil erosion became a serious global problem in the world. Depending of the management and environmental conditions, the soil erosion may manifests in varying degrees. The aim of this study is to assess the land loss estimation and erosion prediction on soil under sugarcane management at Tijucos Creek watershed, SP. Soil samples were collected in 500 m of spacing, giving a total of 353 points in 0 0.20 m depth soil layer in 8.008 ha of area. The geoprocessing resources and the universal soil loss equation (USLE) were used. The soil erosion prediction was calculated using the results for the R, K, LS, C and P factors (USLE). The results showed a constant spatial distribution of rainfall erosivity and soil erodibility. The topographic factor indicated a predominance of low spatial values, although some areas with high values also occurred. Higher occurrence of values greater than 100 Mg ha-1year-1 on land loss spatial distribution was observed in the entire watershed area, indicating the need for measures to minimize the trace processes that contributes to soil loss. The relation between parameters erosivity, erodibility, topographic factor, vegetation cover and conservation practice with the soil loss were compared by linear regression. In all cases, the dependent variable is the soil loss (A) and the independent variable, the parameters of the USLE. The highest correlation occurred with the values of the topographic factor (0.82), explaining 67.2% of soil loss (A), showing that soil loss was more influenced by the topography of the land. Then appears the canopy (0.69) which explains 47.8% of soil loss (A) this is due mainly to areas where the vegetation cover (C) is composed of riparian vegetation, forest, pasture, water bodies and urban areas, the values adopted are close to zero, reducing the loss of soil below the 10 Mg ha-1year-1. The conservation practice factor had a correlation of 0.68 explaining 46.3% of soil loss, probably due to the influence of terrain slope in the calculation of this factor. The correlation of soil loss with soil erodibility (0.60) and with rainfall erosivity (0.60), explained 36.6% and 37.0% respectively of data, soil loss, is due to the uniform distribution of these factors in study area. The erosion prediction resulted in large areas with positive values (6.558 ha), indicating a manifestation of erosion prediction and lower negative values (1.450 ha) that coincide mainly with areas near the headwaters and along the drainage, indicating the conditions under which the occupation does not increase the number of physical factors in order to promote soil loss by erosion. The use of the USLE, with the support of GIS, for calculating and estimate the soil loss, proved that to be feasible, since it allowed to estimate and evaluate the soil erosion, assisting in the planning of land use and conservation practices.
Author(s): C. R. P. Bueno, C. L. Arraes, D. P. Miqueloni