Abstract:Abstract: Understanding the heterogeneous evolution and threshold coupling mechanisms of dust devils and sand-dust weather is of critical scientific importance for ecological security in arid regions, sand-dust disaster prevention, and global desertification control. Based on meteorological observations and intensive observation campaigns at the northern edge of the Taklimakan Desert from 1992 to 2024, this study reveals the heterogeneous evolution of dust devils and sand-dust weather, as well as their thermal-dynamic coupling mechanisms. The number of dust devil days peaked at 104 days in 1994, then fluctuated and declined (55 days in 2020), while sand-dust weather events decreased sharply due to ecological restoration (20 sandstorm days in 2024). Monthly, dust devils exhibited a single summer peak (peaking in July), driven by thermal thresholds (land-air temperature difference ≥20°C, wind speed 3.0–3.5 m/s, humidity <25%); sand-dust weather showed dual spring peaks (March–May), dependent on dynamic thresholds (wind speed ≥8 m/s, humidity <35%). During the transitional period (May–June), enhanced thermal conditions increased dust devil days to 11 days while reducing sandstorm days to 8 days, reflecting spatiotemporal competition. Regression models indicate that dust devils are synergistically driven by temperature difference (+1°C increases frequency by 0.86 times, R2=0.82-0.77) and wind speed (+1 m/s increases frequency by 1.32 times), with low humidity (≤30%: 22 events) and low pressure (898.6 hPa) as facilitators. Sand-dust weather is dominated by wind speed (≥8 m/s: 22.12 events, R2=0.69-0.78), enhanced by low humidity (≤20%: 20.24 events). Mechanistically, dust devils are small-scale thermal-turbulence phenomena relying on local thermal convection, while dusty weather is governed by large-scale dynamic transport. By quantifying thermo-dynamic threshold disparities, these findings provide multiscale regulatory insights for sand-dust early warning systems, ecological engineering optimization, and climate adaptation strategies, thereby supporting practical desertification control in arid regions.