Research Information System
MUSTAFA KEMAL UNIVERSITY JOURNAL OF AGRICULTURAL SCIENCES (MKUJAS), vol.28, 2023 (Peer-Reviewed Journal)
This study aims to provide a spatial erosion sensitivity analysis for agricultural crop class in the Seyhan River Basin to exhibit the optimal crop selection according to the erosion sensitivity. In this manner, it is targeted to contribute to the provision of ideal product selection processes according to erosion intensity in order to support soil protection and ecological sustainability. The Revised Universal Soil Loss Equation (RUSLE) method was used for erosion estimation as the first step of the methodology. The factors that were used within the scope of RUSLE were produced as layers in the GIS environment with the help of remote sensing. The annual total erosion in the basin was estimated as the erosion intensity groups. The erosion sensitivity index was produced depending on the soil cultivation needs of the crop classes based on the produced erosion intensity groups. According to the results of the RUSLE erosion modelling carried out within the borders of the Seyhan Basin, it has been determined that the average annual erosion in the basin is 14 tons/ha, and 28% of the basin has moderate, 12% has high and 2% has very high erosion. According to the results of the erosion suitability index produced for each crop class; It has been seen in the Seyhan Basin that pasture, forage legumes, and citrus crop classes have the highest suitability and the fiber, sugar and starch crops crop classes have the lowest suitability for erosion.