Change rates of soil inorganic carbon vary with depth and duration after land conversion across drylands in North China

文献类型： 外文期刊

第一作者： Wang, Zhufeng

作者： Wang, Zhufeng;Feng, Wenting;Wang, Yugang;Feng, Wenting;Wang, Yugang;Wang, Yugang;Feng, Wenting

作者机构：

关键词： Arid and semiarid region; Duration; Land-use change; Soil inorganic carbon change; Space for time

期刊名称：CHEMOSPHERE （ 影响因子：8.8； 五年影响因子：8.3 ）

ISSN： 0045-6535

年卷期： 2023 年 325 卷

页码：

收录情况： SCI

摘要： Soil inorganic carbon (SIC) accounts for 30-70% of the total soil C in global drylands. Despite the slow turnover rate, recent studies indicate that SIC could be altered by land-use change as soil organic C (SOC). Neglecting SIC change could contribute greatly to the uncertainty of soil C dynamics in drylands. However, due to the spatial-temporal variation in SIC, the direction and magnitude of SIC change (rate) induced by land-use change at a large spatial scale is understudied and poorly understood. Here, we used the space-for-time approach to test how the SIC change varied with the duration and type of land-use change and soil depth across China's drylands. We assessed the temporal and spatial variations in the SIC change rate and explored the influencing factors based on a regional dataset comprising 424 pairs of data across North China. We found that the SIC change rate of 0-200 cm after land-use change was 12.80 (5.47-20.03) g C m(-2) 2 yr(-1) (mean with 95% confidence interval), which was comparable to the SOC change rate (14.72, (5.27-24.15 g C m(-2); yr(-1))). Increased SIC occurred only in deep soils (>30 cm) and in the conversion from deserts to croplands or woodlands. In addition, the SIC change rate decreased with the duration of land-use change, implying that quantifying the temporal pattern of SIC change is necessary to accurately estimate SIC dynamics. The SIC change was strongly related to changes in soil water content. The SIC change rate was weakly and negatively correlated with the SOC change rate, and this rela-tionship varied with soil depth. Together, this study highlights that to improve the prediction of soil C dynamics

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