Russian Federation
Russian Federation
631.459.2
Digital mapping of the content and stock of soil organic carbon (SOC) in the arable layer (0–30 cm) of soils based on a set of geospatial data characterizing soil formation factors was carried out on the territory of the Cis-Salair drained plain . For comparison, maps of the content of the SOC were compiled on the basis of various sets of geospatial data (selected according to the correlation table): 1) BIO11+RVI; 2) Longitude+CNBL; 2) CAT10+KK+Texture. The modeling method is multiple linear regression. The result of modeling of the SOC content with the data set (CAT10+KK+Texture) according to visual assessment and with lower values of the model performance indicators (RMSE, MAPE) was selected as the best compared to other datasets. Based on the best model of the SOC content, a soil bulk density map was compiled using the pedotransfer function, which was used to compile a map of SOC stocks. In the soils of the upper part of the slope, the highest content and stocks of SOC were revealed, whereas in the soils down the slope, a gradual decrease in these values was found in the series of soils agrochernozems → agro-dark gray → agro -gray. The soil bulk density, on the contrary, increased downhill.
climate, relief, chernozems, gray forest soils
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