The threshold wind speed for saltation ($U_{\mathrm{t}}$), an index of soil susceptibility to wind erosion, is affected by dynamics of various land surface conditions. Little information is available on the primary factors that affect $U_{\mathrm{t}}$ in the Gobi Desert. This study explored seasonal variations of $U_{\mathrm{t}}$ and its relations with land surface conditions at Tsogt-Ovoo, which is a dust source hotspot in East Asian drylands, based on a 6-year (2012–2017) measurement. The land surface parameters (soil moisture and temperature, and vegetation components of live, standing dead, and litter) were simulated by an ecosystem model. Results show that saltation tended to occur during February–June under strong western winds (>10 m s⁻¹), with the highest frequencies in 2012 and 2015. The saltation season was divided into two periods: spring (February–early May) with an increase in saltation (i.e., a decrease in $U_{\mathrm{t}}$); and early summer (late May–July) with a decrease in saltation (i.e., an increase in $U_{\mathrm{t}}$). For 2012 and 2015, multi-regression analysis reveals that $U_{\mathrm{t}}$ negatively correlated with soil temperature in spring (R²_adjusted = 0.39) and positively with vegetation components of live and standing dead in early summer (R²_adjusted = 0.70). We assume that wind erosion was possibly enhanced through soil freeze–thaw processes and then was suppressed through plant growth in addition to dead leaves that were residues from the preceding summer. We establish a statistical model of $U_{\mathrm{t}}$ for this hotspot to analyze the relative contributions of erosivity and erodibility to wind erosion during 2012–2017.

跃迁阈风速（${你}_{\mathrm{吨}}$) 是土壤风蚀敏感性的指标，受各种地表条件的动态影响。关于影响的主要因素的信息很少${你}_{\mathrm{吨}}$在戈壁沙漠。本研究探讨了季节性变化${你}_{\mathrm{吨}}$及其与东亚旱地沙尘源热点 Tsogt-Ovoo 地表条件的关系，基于 6 年（2012-2017）的测量。地表参数（土壤湿度和温度，以及活的、死的和枯枝落叶的植被成分）通过生态系统模型进行模拟。结果表明，在强西风（>10 m s ^-1）下，跃迁倾向于发生在 2-6 月，以 2012 年和 2015 年的频率最高。跃迁季节分为两个时期：春季（2-5 月初），跳跃增加（即减少${你}_{\mathrm{吨}}$); 和初夏（5 月下旬至 7 月），跳跃减少（即增加${你}_{\mathrm{吨}}$）。对于 2012 年和 2015 年，多元回归分析表明，${你}_{\mathrm{吨}}$春季土壤温度与土壤温度呈负相关（R ²_调整 = 0.39），与初夏活和立枯植物成分呈正相关（R ²_调整 = 0.70）。我们假设风蚀可能通过土壤冻融过程得到增强，然后通过植物生长以及前一个夏天残留的枯叶而受到抑制。我们建立了一个统计模型${你}_{\mathrm{吨}}$ 为该热点分析 2012-2017 年期间侵蚀性和可蚀性对风蚀的相对贡献。