Soil wind erosion is a global problem that leads to increasingly serious regional land degradation, where the need for windbreak and sand fixation services (WSFS) is substantial. Inner Mongolia plays an important role in global semiarid and arid areas and the severe land degradation resulting from soil wind erosion warrants an urgent solution. However, the mechanism of influence of various driving factors on windbreak and sand fixation services is still not fully studied. In this paper, the revised wind erosion equation (RWEQ) model was used to synthesize the monthly spatiotemporal dynamics of soil wind erosion modulus (SWEM) and WSFS in Inner Mongolia from January 2000 to February 2020 from a semi-monthly scale. The influencing factors of WSFS were examined from both natural and anthropogenic aspects. Results show that over the past 20 years, the average SWEM in Inner Mongolia was 118.06 t ha⁻¹ yr⁻¹, the areas with severe wind erosion were mainly concentrated in the desert areas in the southwest of Inner Mongolia, and the forests in the northeast suffered less soil wind erosion. Meanwhile, the average WSFS was 181.11 × 10⁸ t yr⁻¹, with the high-value areas mainly located in major deserts, sandy land, and the area bordering Mongolia in the north and the low-value areas mainly located in the densely forested northeast and the Gobi Desert in the northwest. Both SWEM and WSFS showed a clear downward trend and a certain periodicity over the past 20 years. WSFS showed two peaks a year (April and October). Among the natural factors, precipitation and NDVI showed a significant correlation with WSFS and were identified as the main driving factors of WSFS, whereas temperature had no significant correlation. Among the anthropogenic factors, farming and animal husbandry intensity and GDP showed a positive correlation with WSFS, whereas population showed a negative correlation. These four types of factors were identified as socio-economic factors that drive WSFS. Meanwhile, WSFS did not show any significant correlation with the administrative area. Land use change contributed to a large proportion of WSFS change, thereby suggesting that the intensity of human activities is another central driver of WSFS.

土壤风蚀是一个全球性问题，导致日益严重的区域土地退化，其中对防风和固沙服务 (WSFS) 的需求很大。内蒙古在全球半干旱和干旱地区发挥着重要作用，土壤风蚀造成的严重土地退化亟待解决。然而，各种驱动因素对防风固沙服务的影响机制仍未得到充分研究。本文采用修正的风蚀方程（RWEQ）模型，以半月尺度综合了2000年1月至2020年2月内蒙古土壤风蚀模量（SWEM）和WSFS的月时空动态。WSFS的影响因素从自然和人为两个方面进行了考察。结果表明，在过去的 20 年中，^-1 yr ^-1，风蚀严重的地区主要集中在内蒙古西南部的沙漠地区，而东北部的森林受土壤风蚀的影响较小。同时，平均 WSFS 为 181.11 × 10 ⁸  t yr ^-1, 高值区主要分布在北部主要沙漠、沙地和与蒙古接壤的地区，低值区主要分布在东北部森林茂密的地区和西北部的戈壁沙漠。SWEM和WSFS在过去20年都呈现出明显的下降趋势和一定的周期性。WSFS 每年出现两个高峰（4 月和 10 月）。自然因素中，降水和NDVI与WSFS呈显着相关，被确定为WSFS的主要驱动因素，而温度无显着相关性。在人为因素中，农牧业强度和GDP与WSFS呈正相关，而人口呈负相关。这四类因素被确定为推动 WSFS 的社会经济因素。同时，WSFS 与行政区域没有任何显着相关性。土地利用变化对 WSFS 变化的贡献很大，因此表明人类活动的强度是 WSFS 的另一个核心驱动力。

土壤风蚀是一个全球性问题，导致日益严重的区域土地退化，其中对防风和固沙服务 (WSFS) 的需求很大。内蒙古在全球半干旱和干旱地区发挥着重要作用，土壤风蚀造成的严重土地退化亟待解决。然而，各种驱动因素对防风固沙服务的影响机制仍未得到充分研究。本文采用修正的风蚀方程（RWEQ）模型，以半月尺度综合了2000年1月至2020年2月内蒙古土壤风蚀模量（SWEM）和WSFS的月时空动态。WSFS的影响因素从自然和人为两个方面进行了考察。结果表明，在过去的 20 年中，^-1 yr ^-1，风蚀严重的地区主要集中在内蒙古西南部的沙漠地区，而东北部的森林受土壤风蚀的影响较小。同时，平均 WSFS 为 181.11 × 10 ⁸  t yr ^-1, 高值区主要分布在北部主要沙漠、沙地和与蒙古接壤的地区，低值区主要分布在东北部森林茂密的地区和西北部的戈壁沙漠。SWEM和WSFS在过去20年都呈现出明显的下降趋势和一定的周期性。WSFS 每年出现两个高峰（4 月和 10 月）。自然因素中，降水和NDVI与WSFS呈显着相关，被确定为WSFS的主要驱动因素，而温度无显着相关性。在人为因素中，农牧业强度和GDP与WSFS呈正相关，而人口呈负相关。这四类因素被确定为推动 WSFS 的社会经济因素。同时，WSFS 与行政区域没有任何显着相关性。土地利用变化对 WSFS 变化的贡献很大，因此表明人类活动的强度是 WSFS 的另一个核心驱动力。