Abstract. Based on snow survey data and meteorological observations, an analysis of interannual variability (2023/24–2025/26) and intra-landscape differentiation of the snow cover was conducted in the Anuy River basin, located on the northern macroslope of the Altai Mountains, the lower part of the altitudinal zonation spectrum of which is formed by forest‑steppe landscapes. Over the three winters under study, the average snow water equivalent (SWE) decreased by 33 %. The interannual variability of the altitudinal pattern of SWE distribution has been identified: during the snowy season of 2023/24, the relationship between SWE and elevation was predominantly positive; in the less-snowy seasons of 2024/25 and 2025/26, a nonlinear pattern emerged, with a local SWE maximum in the foothills and a minimum in the mountain forest-steppe and subtaiga belt, which reflects the increased role of wind redistribution of snow relative to orographic accumulation. The key factors influencing snow redistribution have been identified: reduced precipitation, an increased frequency of thaws, and changes in wind regime. It has been established that mountain taiga landscapes were characterized the highest SWE values, which have sharply decreased over the past three winters; subtaiga landscapes showed a stable but less pronounced decline; mountain forest-steppe landscapes were characterized by the greatest interannual variability; and foothill forest-steppe landscapes proved the greatest stability due to wind redistribution. The results can be applied to river runoff forecasting and adapt nature management practices to climate change.

Key words: Russian Altai, Anuy River basin, snow water equivalent, mountain forest-steppe landscapes, altitudinal zonation.