Spatial Variability of Soil Erodibility at the Rhirane Catchment Using Geostatistical Analysis

Soil erodibility is one of the most crucial factors used to estimate soil erosion by applying modeling techniques. Soil data from soil maps are commonly used to create maps of soil erodibility for soil conservation planning. This study analyzed the spatial variability of soil erodibility by using a digital elevation model (DTM) and surface soil sample data at the Rhirane catchment (Algeria). A total of 132 soil samples were collected of up to 20 cm in depth. The spatial distributions of the K-value and soil physical properties (permeability, organic matter, and texture) were used to elaborate ordinary Kriging interpolation maps. Results showed that mean values of soil organic matter content were statistically different between Chromic Cambisols (M = 3.4%) vs. Calcic Cambisols (M = 2.2%). The analysis of variance of the organic matter provided a tool for identifying significant differences when comparing means between the soil types. The soil granulometry is mainly composed of silt and fine sand. The soil erodibility showed values varying between 0.012 and 0.077 with an average of 0.034, which was greater in soils with calcic horizons. Statistical evaluation by using Pearson's correlation revealed positive correlations between erodibility and silt (0.63%), and negative correlations with sand (-0.16%), clay (-0.56%), organic matter (-0.32%), permeability (-0.41%), soil structure (-0.40%), and the soil stability index (-0.26%). The variability analysis of the K-factor showed moderate spatial dependency with the soil erodibility map indicating moderate to highly erodible risk in cropland and sparse grassland land uses. Overall, the study provides scientific support for soil conservation management and appropriate agricultural food practices for food supply.

Automated summary

This study analyzed the spatial variability of soil erodibility using a digital elevation model and soil sample data in the Rhirane catchment. The K-value and soil physical properties were used to create interpolation maps. The results showed significant differences in soil organic matter content between different soil types and correlations between soil erodibility and various factors such as particle size, organic matter, and permeability.