数字农科院2.0

Global patterns and drivers of soil dissolved organic carbon concentration

文献类型： 外文期刊

作者： Ren; Tianjing; Cai; Andong

关键词： Soil organic carbon

期刊名称： Earth System Science Data

ISSN： 1866-3508

年卷期： 2025 年

页码：

收录情况： SCIE（2025版）

摘要： Dissolved organic carbon (DOC) constitutes the most active carbon pool in soils and plays critical roles in soil carbon cycling, plant productivity, and global climate change. Accurately assessing soil DOC quan- tity is essential to elucidate ecosystem functions and services. However, global driving factors and the spatial distribution of soil DOC remain poorly quantified, largely due to limited large-scale data. Here, we compile a comprehensive global database of soil DOC concentrations, encompassing 12 807 observations extracted from 975 scientific publications published between 1984 and 2020. We also record detailed geographic locations, climatic variables, and soil properties as predictors. Machine learning techniques were employed, including 10- fold cross-validation and evaluating model performance by R2 and root mean square error values, to predict the relative importance of various predictors and the global distribution of soil DOC concentrations.Worldwide soil DOC concentrations ranged from 0.04 to 7859mgkg−1, averaging 222.78mgkg−1. The 14 selected predictors, including elevation, soil properties, and climate, explained 63% of the variance in soil DOC concentrations. Elevation played the most important predictor for soil DOC prediction, followed by soil organic carbon, sea- sonal variability of temperature, and soil clay content. Soil DOC decreases initially but increases when soil clay content exceeds 20%and seasonal variability of temperature exceeds 0.7. Using these findings, a global map of predicted soil DOC concentrations was produced at a 0.05° by 0.05° resolution. Global soil DOC concentrations generally increased from the Equator to the poles wherein the topsoil layer (0–30 cm) holds 13.47 Pg of soil DOC with substantial variations across continents. These results inform soil management practices strategies, ecosystem services evaluations, and climate change mitigation efforts. Furthermore, we envision integrating our database with other carbon pools to advance understanding of total soil carbon turnover and to refine Earth system models. The dataset is publicly available at https://doi.org/10.6084/m9.figshare.28574183 (Ren and Cai, 2025).

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