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

文献类型：期刊论文

作者Wang, Shuai1,2; Xu, Li2; Zhuang, Qianlai3; He, Nianpeng2,4,5
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期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
DOI10.1016/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.
WOS关键词VERTICAL-DISTRIBUTION ; SPATIAL-DISTRIBUTION ; NITROGEN POOLS ; CLIMATE-CHANGE ; REGRESSION ; STORAGE ; DETERMINANTS ; CROPLAND ; SCALES ; AREA
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研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000605623800056
出版者ELSEVIER
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
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.Shenyang Agr Univ, Coll Land & Environm, Shenyang 110866, Liaoning, Peoples R China
2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
5.Northeast Normal Univ, Key Lab Vegetat Ecol, Minist Educ, Changchun 100024, 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.

入库方式： OAI收割

来源：地理科学与资源研究所

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