气候变化领域集成服务门户(CCPortal): Decipher soil organic carbon dynamics and driving forces across China using machine learning

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DOI	10.1111/gcb.16154
	Decipher soil organic carbon dynamics and driving forces across China using machine learning
	Li, Huiwen; Wu, Yiping; Liu, Shuguang; Xiao, Jingfeng; Zhao, Wenzhi; Chen, Ji; Alexandrov, Georgii; Cao, Yue
通讯作者	Wu, YP (通讯作者)，Xi An Jiao Tong Univ, Technol Innovat Ctr Land Engn & Human Settlements, Shaanxi Land Engn Construct Grp Co Ltd, Xian, Peoples R China.
发表日期	2022
ISSN	1354-1013
EISSN	1365-2486
起始页码	3394
结束页码	3410
卷号	28 期号:10
英文摘要	The dynamics of soil organic carbon (SOC) play a critical role in modulating global warming. However, the long-term spatiotemporal changes of SOC at large scale, and the impacts of driving forces remain unclear. In this study, we investigated the dynamics of SOC in different soil layers across China through the1980s to 2010s using a machine learning approach and quantified the impacts of the key factors based on factorial simulation experiments.Our results showed that the latest (2000-2014) SOC stock in the first meter soil (SOC100) was 80.68 +/- 3.49 Pg C, of which 42.6% was stored in the top 20 cm, sequestrating carbon with a rate of 30.80 +/- 12.37 g C m(-2) yr(-1)since the 1980s. Our experiments focusing on the recent two periods (2000s and 2010s) revealed that climate change exerted the largest relative contributions to SOC dynamics in both layers and warming or drying can result in SOC loss. However, the influence of climate change weakened with soil depth, while the opposite for vegetation growth. Relationships between SOC and forest canopy height further confirmed this strengthened impact of vegetation with soil depth and highlighted the carbon sink function of deep soil in mature forest. Moreover, our estimates suggested that SOC dynamics in 71% of topsoil were controlled by climate change and its coupled influence with environmental variation (CE). Meanwhile, CE and the combined influence of climate change and vegetation growth dominated the SOC dynamics in 82.05% of the first meter soil. Additionally, the national cropland topsoil organic carbon increased with a rate of 23.6 +/- 7.6 g C m(-2) yr(-1)since the 1980s, and the widely applied nitrogenous fertilizer was a key stimulus. Overall, our study extended the knowledge about the dynamics of SOC and deepened our understanding about the impacts of the primary factors.
关键词	CLIMATE-CHANGE TEMPERATURE SENSITIVITY TERRESTRIAL ECOSYSTEMS ATMOSPHERIC CO2 TOPSOIL CARBON TUNDRA SOILS LAND-USE DECOMPOSITION STOCKS PATTERNS
英文关键词	climate change; factorial simulation experiments; fertilization; random forest; SOC; vegetation growth
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS记录号	WOS:000780434000001
来源期刊	GLOBAL CHANGE BIOLOGY
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/255048
作者单位	[Li, Huiwen; Wu, Yiping] Xi An Jiao Tong Univ, Dept Earth & Environm Sci, Xian, Peoples R China; [Li, Huiwen] Minist Nat Resources China, Key Lab Degraded & Unused Land Consolidat Engn, Xian, Peoples R China; [Wu, Yiping] Xi An Jiao Tong Univ, Technol Innovat Ctr Land Engn & Human Settlements, Shaanxi Land Engn Construct Grp Co Ltd, Xian, Peoples R China; [Liu, Shuguang] Cent South Univ Forestry & Technol, Natl Engn Lab Appl Technol Forestry & Ecol South, Changsha, Peoples R China; [Xiao, Jingfeng] Univ New Hampshire, Inst Study Earth Oceans & Space, Earth Syst Res Ctr, Durham, NH 03824 USA; [Zhao, Wenzhi] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol & River Basin Sci, Lanzhou, Peoples R China; [Chen, Ji] Univ Hong Kong, Dept Civil Engn, Hong Kong, Peoples R China; [Alexandrov, Georgii] Russian Acad Sci, AM Obukhov Inst Atmospher Phys, Moscow, Russia; [Cao, Yue] Xian Inst Innovat Earth Environm Res, Xian, Peoples R China
推荐引用方式 GB/T 7714	Li, Huiwen,Wu, Yiping,Liu, Shuguang,et al. Decipher soil organic carbon dynamics and driving forces across China using machine learning[J]. 中国科学院西北生态环境资源研究院,2022,28(10).
APA	Li, Huiwen.,Wu, Yiping.,Liu, Shuguang.,Xiao, Jingfeng.,Zhao, Wenzhi.,...&Cao, Yue.(2022).Decipher soil organic carbon dynamics and driving forces across China using machine learning.GLOBAL CHANGE BIOLOGY,28(10).
MLA	Li, Huiwen,et al."Decipher soil organic carbon dynamics and driving forces across China using machine learning".GLOBAL CHANGE BIOLOGY 28.10(2022).