Soil properties and relations with land attributes in the federal district

Abstract

Soil properties are related to positions in the landscape. This implies that the variables of soil formation factors can be used to predict soil attributes. Digital relief modeling is one of the best-developed quantitative techniques for predicting soil attributes and classes. Estimated soil properties can be used as input data in water erosion and sediment / nutrient transport models, risk of soil acidification, and productivity. Therefore, the objective of this work was to evaluate the relationship between soil properties (clay content, organic carbon and thickness of the superficial and subsurface horizons) and terrain attributes derived from a Digital Elevation Model (MDE) in the Rio Jardim Basin, Federal District. From the MDE letter, the slope, altitude, curvature and topographic moisture index (TWI) attributes were obtained, which together with the soil properties data of 24 profiles were subjected to multiple linear regression analysis to obtain the coefficients used for the generation of prediction equations of soil attributes. Slope, altitude and TWI were the attributes derived from the MDE that obtained a greater association with clay and organic carbon content in the soils of the Jardim River Basin. The influence of the curvature on the prediction of clay and organic carbon content was not very representative, but in the prediction of surface horizon thickness, curvature and slope had a good association.