@conference{
author = "Životić, Ljubomir and Gajić, Boško and Ćosić, Marija and Kaluđerović, Lazar and Lazović, Vojislav",
year = "2022",
abstract = "Universal Soil Loss Equation (USLE) is the most applied model for soil erosion assessment. It takes into consideration five soil erosion factors: rainfall erosivity, topographic factor, vegetation cover, applied conservation practices, and soil erodibility. Soil erodibilty factor (K-factor) is a measure of inheritant reistance of soils to erosion. In the formulation of USLE model, K-factor was determined experimentally. Experimental determinations are costly and time- consuming, so the authors have encouraged scientists to utilise USLE nomograph or derived equations. This paper aims to compare USLE nomograph and soil erodibility equation which was derived from nomograph by the same authors. A total number of 108 soil samples have been collected on agricultural land of Western Serbia. For the determination of K-values, particle size distribution and soil organic matter content were determined in the laboratory, whereas soil permeability and soil structure were assessed according to the nomograph. The results have been compared using basic statistics. The average K-values obtained by nomograph and derived equation are 0.034±0.010 and 0.029±0.012, which is 14.7% difference. Coefficient of determination (R2) amounts to 0.5802, which indicates deviation of 23.9%, although there is statistically significant correlation between two methods. Root Mean Square Error (RMSE) is 0.008, which is 23–27% difference. The RMSE is not low, whereas index of agreement amounts to 0.93, which represent good agreement, and also there is significant correlation. These results are ambiguous. We think that 15% of absolute error is a threshold value for good correlation, which occur on only 56% of samples. K-factor is an important part of various soil erosion models and it is of high importance to determine it in the best manner. Therefore, the obtained results indicate the gaps in the determination of K-factor and could contribute to further improvment of soil erodibilty determination and consequently, soil erosion assessment.",
publisher = "University of Banja Luka Faculty of Agriculture",
journal = "11th International Symposium of Agricultural Sciences "AGRORES 2022", 26–28 May, 2022, Trebinje, Bosnia and Herzegovina",
title = "Differences in Determination of Soil Erodibility Between USLE Nomograph and Erodibility Equation",
pages = "52-52",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6501"
}