Landscape position may impact soil detachment capacity (D_c) by overland flow through the imposing influences on soil properties and plant roots. Nonetheless, little knowledge existed with regard to the response of D_c to landscape position. Therefore, this study was conducted to detect the response of D_c to landscape positions and identify the primary influencing factors in hilly and gully regions of the Loess Plateau. 540 undisturbed soil samples taken from six landscape positions were subjected to scour in a hydraulic flume to determine D_c. The results demonstrated that D_c of the top ridge was the maximum (1.13 kg m⁻² s⁻¹), while D_c of the footslope was the minimum (0.0026 kg m⁻² s⁻¹). The landscape positions significantly influenced D_c, presenting a regularly decreasing trend from the top to the bottom. D_c increased with stream power (ω) by a power function. Power function was better than linear function for predicting of D_c. The partial least square regression analysis showed that soil organic matter, water stable aggregate (WSA), root mass density (RMD), and soil cohesion (Coh) dominated the variations in D_c. Significant negative relationships were detected between these primary factors and D_c. Landscape position affected Coh, WSA and RMD, which in turn controlled the regular change of D_c with landscape position. D_c of six landscape positions could be satisfactorily estimated by ω, WSA, and RMD (r² = 0.81; NSE = 0.81). The results are helpful to understand the vertical changes in soil erosion intensity in small watershed scale.

景观位置可能通过对土壤特性和植物根系的强加影响，通过陆上水流影响土壤的分离能力（D _c）。但是，关于_DC对景观位置的响应知之甚少。因此，本研究旨在检测D _c对景观位置的响应，并确定黄土高原丘陵和沟壑区的主要影响因素。对来自六个景观位置的540个未扰动土壤样品在液压水槽中进行冲刷以确定D _c。结果表明，顶脊的D _c最大（1.13 kg m ^-2 s ^-1），而D _c最小的坡度（0.0026 kg m ^-2 s ^-1）。景观位置显着影响了D _c，呈现出从上到下的规律性下降趋势。D _c通过功率函数随流功率（ω）增加。幂函数比线性函数更好地为d的预测_Ç。偏最小二乘回归分析表明，土壤有机质，水稳性团聚体（WSA），根质量密度（RMD）和土壤黏附力（Coh）主导了D _c的变化。在这些主要因素和D _c之间发现了显着的负相关关系。景观位置影响了Coh，WSA和RMD，反过来又控制了D _c随景观位置的规律变化。ω，WSA和RMD可以令人满意地估计六个景观位置的D _c（r ²  = 0.81; NSE = 0.81）。研究结果有助于了解小流域土壤侵蚀强度的垂直变化。