Impact of future climate warming on soil organic carbon in China based on process-based models
Zhou Z. Zhang Z. Wang M. Wang K. Ai J. Gill A. Temirbayeva K. Zhu C.
November 2025Elsevier B.V.
Climate Smart Agriculture
2025#2Issue 4
Soil organic carbon (SOC) is an important component of the carbon pool in terrestrial ecosystems and plays a key role in climate feedbacks under global warming. To quantitatively assess the impact of climate warming on SOC in China, this study constructed six warming scenarios (0–3 °C, 0.5 °C step), and simulated the spatial and temporal distributions of SOC and changes in reserves by combining the RothC model and the Random Forest (RF) model. The results show that the model has high prediction accuracy in the mild warming scenario (scenarios with temperature increase of 0.5 °C, 1 °C, and 1.5 °C), R2 = 0.46–0.60, but the uncertainty increases in the high temperature scenario (scenarios with temperature increase of 2 °C, 2.5 °C, and 3 °C), RMSE rises to 25.2 g C m−2. With increasing temperature (the range of increase is 0–3 °C), SOC in China showed significant spatial variability of “north increasing and south decreasing”, and the overall reserves decreased by about 99.6 Tg on average (to be achieved roughly from the mid-to-late 21st century), showing a non-linear fluctuating downward trend. Dominant factors affecting SOC dynamics, with the vegetation factor having the highest explanatory power. The study reveals the mechanism by which climate factors and vegetation synergistically regulate SOC, which provides a quantitative basis for improving SOC modelling and understanding the process of the terrestrial carbon cycle under climate warming.
Climate warming , Random forest model , RothC , Sensitivity analysis , Soil organic carbon
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College of Geographical and Remote Sciences, Xinjiang University, Urumqi, 830017, China
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454003, China
Faculty of Geography and Environmental Sciences, Al-Farabi Kazakh National University, Almaty, Kazakhstan
College of Geographical and Remote Sciences
School of Surveying and Land Information Engineering
Faculty of Geography and Environmental Sciences
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