Climate warming can lead to permafrost degradation, potentially resulting in slope failures such as retrogressive thaw slumps (RTSs). The formation of and changes in RTSs could exacerbate the degradation of permafrost and the environment in general. The mechanisms of RTS progression and the potential consequences on the analogous freeze–thaw cycle are not well understood, owing partly to necessitating field work under harsh conditions and with high costs. Here, we used multi-source remote sensing and field surveys to quantify the changes in an RTS on Eboling Mountain in the Qilian Mountain Range in west-central China. Based on optical remote sensing and SBAS-InSAR measurements, we analyzed the RTS evolution and the underlying drivers, combined with meteorological observations. The RTS expanded from 56 m² in 2015 to 4294 m² in 2022, growing at a rate of 1300 m²/a to its maximum in 2018 and then decreasing. Changes in temperature and precipitation play a dominant role in the evolution of the RTS, and the extreme weather in 2016 may also be a primary contributor to the accelerated growth, with an average deformation of −8.3 mm during the thawing period, which decreased slope stability. The RTS evolved more actively during the thawing and early freezing process, with earthquakes having potentially contributed further to RTS evolution. We anticipate that the rate of RTS evolution is likely to increase in the coming years.

Climate change has caused asynchronous phenological shifts between most plants and their pollinators, resulting in an earlier or later appearance of peak flowering relative to peak pollinator abundance. The fitness impact of these two mismatch patterns may not be simply equivalent, but the information has so far been limited. To explore how differently plant fitness responds to the distinct mismatch patterns, we conducted a seed-setting comparative study at the individual level in an alpine grassland community in the Qilian Mountains of China. By monitoring flowering abundance and insect visits, we measured the phenological matching relationship between plants and their key pollinators, and evaluated the impact of mismatches on plant productivity. We found that the pattern of “pollinator peaks earlier” accounted for a relatively high proportion in the natural community, with a significantly stronger fitness impact on plants than that of the “flower peaks earlier” pattern. The asymmetry in the fitness impacts between phenological mismatch patterns is related to the length of flowering period. Specially, the shorter the flowering duration, the greater the difference in influence between the two patterns. Our results suggest that plants with shorter flowering periods may be confronted with more severe pollination limitations if climate warming cause insects to forage further ahead. Therefore, the asymmetric effects of phenological mismatch patterns should be considered in phenological models to improve the predictive performance of plant responses to climate change.