Atmospheric concentrations of greenhouse gases (GHG), especially CO2, CH4 and N2O have increased since the beginning of the industrial age, which can be attributed mainly to human activities related to the burning of fossil fuels, land use changes and agricultural practices. The aim of this project is to determine the structure of spatial variability of soil CO2, CH4 and N2O emissions and their fractal dimension in different scales and directions, relating it to the physical and chemical soil properties in a mechanically harvested sugarcane production area. Measurements of GHG and soil sampling will be conducted in a grid of 50 × 50 m, containing 133 points arranged symmetrically. From the orientation of the grid in relation to the crop row and direction of the soil tillage, it is expected to characterize the anisotropy, determined by crop management practices, and the relationship of GHG with other soil properties. Initially the variability of the dataset will be analyzed using descriptive statistics, and subsequently calculated the fractal dimension derived from experimental variograms for the different directions and scales of all attributes studied. This characterization derives the fractogram which indicates the structure of spatial variability and its anisotropy in different directions along the grid in the studied area. Moreover, a principal component analysis will be applied to dataset to help us characterize the anisotropy, and a multiple regression analysis will be applied to aid the modeling of variability.
News published in Agência FAPESP Newsletter about the scholarship: