Spatio-temporal Changes and Associated Uncertainties of CENTURY-modelled SOC for Chinese Upland Soils, 1980-2010

• 作者: FENG Xiang LIU Xiaoyu SHI Xuezheng WANG Shihang YAN Fang ZHAO Yongcun
• 来源期刊: 中国地理科学（英文版）
• 年，卷（期）: 2021,（1）
• 所属期刊栏目: Big Data and Urban Study
• 页码范围: 126-136
• 页数: 11页
• 语种: 英文

摘要

Detailed information on the spatio-temporal changes of cropland soil organic carbon (SOC) can significantly contribute to the improvement of soil fertility and mitigate climate change. Nonetheless, information and knowledge on the national scale spatio-tempor-al changes and the corresponding uncertainties of SOC in Chinese upland soils remain limited. The CENTURY model was used to es-timate the SOC storages and their changes in Chinese uplands from 1980 to 2010. With the Monte Carlo method, the uncertainties of CENTURY-modelled SOC dynamics associated with the spatial heterogeneous model inputs were quantified. Results revealed that the SOC storage in Chinese uplands increased from 3.03 (1.59 to 4.78) Pg C in 1980 to 3.40 (2.39 to 4.62) Pg C in 2010. Increment of SOC storage during this period was 370 Tg C, with an uncertainty interval of –440 to 1110 Tg C. The regional disparities of SOC changes reached a significant level, with considerable SOC accumulation in the Huang-Huai-Hai Plain of China and SOC loss in the northeast-ern China. The SOC lost from Meadow soils, Black soils and Chernozems was most severe, whilst SOC accumulation in Fluvo-aquic soils, Cinnamon soils and Purplish soils was most significant. In modelling large-scale SOC dynamics, the initial soil properties were major sources of uncertainty. Hence, more detailed information concerning the soil properties must be collected. The SOC stock of Chinese uplands in 2010 was still relatively low, manifesting that recommended agricultural management practices in conjunction with effectively economic and policy incentives to farmers for soil fertility improvement were indispensable for future carbon sequestration in these regions.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	LIU Xiaoyu	中国科学院南京土壤研究所	1	0	0.0	0.0
2	ZHAO Yongcun	中国科学院南京土壤研究所	1	0	0.0	0.0
3	SHI Xuezheng	中国科学院南京土壤研究所	1	0	0.0	0.0
4	WANG Shihang	中国科学院南京土壤研究所	1	0	0.0	0.0
5	FENG Xiang	中国科学院南京土壤研究所	1	0	0.0	0.0
6	YAN Fang	中国科学院南京土壤研究所	1	0	0.0	0.0