TL;DR
The results indicate that temperatures increased across all four soil layers during the study period, with the magnitude of warming generally decreasing with depth, and changes in soil moisture displayed a non-monotonic pattern, accompanied by substantial interannual variability.
Three predictive approaches were applied: linear regression, random forest, and a deep neural network to predict soil temperature at depths of 5 and 50 cm in Central Europe, specifically eastern Hungary, highlighting soil temperature as a sensitive indicator of environmental change and demonstrating the value of deep l...
Tajikistan is highly vulnerable to climate change and depends heavily on agriculture, making soil moisture dynamics critical for water and food security. This study provides a comprehensive assessment of soil moisture variability across four depth layers (0–10 cm, 10–40 cm, 40–100 cm, and 100–200 cm) from 2000 to 2021...
Climate warming is altering precipitation regimes and increasing the frequency of extreme rainfall events. Soil respiration (Rs) is sensitive to these changes and remains a major uncertainty factor in predicting forest carbon cycling. However, it is not yet clear whether the response of Rs to soil temperature (Ts) beco...
Soil moisture is a key indicator of agricultural and hydrological drought, but its meteorological controls vary across temporal scales. Using ESA CCI soil moisture products from 2010 to 2022, this study investigated soil moisture variability in the Yangtze River Basin at weekly, monthly, and annual scales. The product...
To elucidate the long-term changes and driving mechanisms of soil moisture on the Loess Plateau under large-scale ecological restoration, this study analyzed 0–200 cm profile soil water storage from 2000 to 2024 together with precipitation, temperature, and NDVI data. Theil–Sen trend estimation, the Mann–Kendall test,...
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