Investigating the spatio-temporal variability of soil organic carbon stocks in different ecosystems of China

doi:10.1016/j.scitotenv.2020.143644

	Investigating the spatio-temporal variability of soil organic carbon stocks in different ecosystems of China
	Wang, Shuai 3,5; Xu, Li 3; Zhuang, Qianlai 2; He, Nianpeng 1,3,4
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2021-03-01
卷号	758 页码:10
关键词	Soil organic carbon stocks Climate variables Spatial variation Boosted regression trees
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2020.143644
通讯作者	He, Nianpeng(henp@igsnrr.ac.cn)
英文摘要	Soil organic carbon (SOC) significantly influences soil fertility, soil water holding capacity, and plant productivity. In this study, we applied two boosted regression tree (BRT) models to map SOC stocks across China in the 1980s and the 2010s. The models incorporated nine environmental variables (climate, topography, and biology) and 8897 (in the 1980s) and 4534 (in the 2010s) topsoil (0-20 cm) samples. During the two study periods, 20% of the soil samples were randomly selected for model testing, and the remaining samples were used as a training set to construct the models. The verification results showed that incorporating climate environment variables significantly improved the model prediction in both study periods. Mean annual temperature, mean annual precipitation, elevation, and the normalized difference vegetation index were the dominant environmental factors affecting the spatial distribution of SOC stocks. The full-variable model predicted similar spatial distributions of SOC stocks for the 1980s and the 2010s. SOC stocks in China showed an increasing trend over the past 30 years, from 3.9 kg m(-2) in the 1980s to 4.6 kg m(-2) in the 2010s. In both periods, topsoil SOC stocks were mainly stored in agroecosystems, forests, and grasslands in the 1980s, with values of 9.5, 12.0, and 11.4 Pg C, respectively. Our study provides reliable information on Chain's carbon distribution, which can be used by land managers and the national government to formulate relevant land use and carbon sequestration policies. (C) 2020 Elsevier B.V. All rights reserved.
资助项目	Chinese Academy of Sciences Strategic Priority Research Program[XDA19020302] ; National Natural Science Foundation of China[31988102] ; National Natural Science Foundation of China[31870437] ; National Natural Science Foundation of China[31961143022] ; National Key Research and Development Program of China[2017YFA0604803]
WOS关键词	VERTICAL-DISTRIBUTION ; SPATIAL-DISTRIBUTION ; NITROGEN POOLS ; CLIMATE-CHANGE ; REGRESSION ; STORAGE ; DETERMINANTS ; CROPLAND ; SCALES ; AREA
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000605623800056
资助机构	Chinese Academy of Sciences Strategic Priority Research Program ; National Natural Science Foundation of China ; National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/136910]
专题	中国科学院地理科学与资源研究所
通讯作者	He, Nianpeng
作者单位	1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA 3.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Northeast Normal Univ, Key Lab Vegetat Ecol, Minist Educ, Changchun 100024, Peoples R China 5.Shenyang Agr Univ, Coll Land & Environm, Shenyang 110866, Liaoning, Peoples R China
推荐引用方式 GB/T 7714	Wang, Shuai,Xu, Li,Zhuang, Qianlai,et al. Investigating the spatio-temporal variability of soil organic carbon stocks in different ecosystems of China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,758:10.
APA	Wang, Shuai,Xu, Li,Zhuang, Qianlai,&He, Nianpeng.(2021).Investigating the spatio-temporal variability of soil organic carbon stocks in different ecosystems of China.SCIENCE OF THE TOTAL ENVIRONMENT,758,10.
MLA	Wang, Shuai,et al."Investigating the spatio-temporal variability of soil organic carbon stocks in different ecosystems of China".SCIENCE OF THE TOTAL ENVIRONMENT 758(2021):10.