Spatial modeling of relationship between soil erosion factors and land-use changes at sub-watershed scale for the Talar watershed, Iran

Soil erosion is one of the most common types land degradation. To provide useful information for proper management, quantitative soil evaluation and identifying influential factors are needed. However, rare studies have been reported on spatial modeling in connection with affective to prioritize locality type control measures. Hence, aim this study was (1) assess erosion-prone areas Talar watershed, Iran, using revised universal loss equation (RUSLE) model (2) investigate relationship between variability land-use changes. Toward that, ordinary least squares (OLS), geographically weighted regression (GWR) models, principal component analysis (PCA) were used analyze relationships erosion, land-use, RUSLE factors. The results OLS GWR models indicated that these spatially non-stationary. had a good predictive performance than lower Akaike’s Information Criterion (from 254.31 276.81 from 247.87 269.42 GWR) higher adjusted R2 values 0.12 0.54 OLS, 0.36 0.66 GWR). Among variables mentioned above, LS factor, P forest, irrigated models. PCA showed PC1 PC2 explained 66.2% variation concerning These provided appropriate references managers experts properly planning watershed.