中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Predicting spatiotemporal changes of surface soil organic carbon in China

文献类型:期刊论文

作者Yang, Ren-Min1; Huang, Lai-Ming2,3; Wu, Yun-Jin4
刊名SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
出版日期2022-11-16
页码15
ISSN号0361-5995
DOI10.1002/saj2.20484
通讯作者Wu, Yun-Jin(wyj@nies.org)
英文摘要Evaluating the spatiotemporal dynamics of soil organic carbon (SOC) is essential for better understanding the role of SOC in global C cycling. In this study, we report on the application of a two-compartment model for mapping and examining SOC changes in China. We develop a SOC change prediction model combined with an environmental stratification approach and map SOC changes for the top 20-cm soil depth in China at a grid resolution of 1 km. We perform a model comparison to quantify the effects of environmental stratification on model performance. A mean SOC increase of 0.63 kg m(-2) was observed over the past 40 yr. Compared to the model without environmental stratification (the concordance correlation coefficient [CCC]: 0.34-0.40; RMSE: 2.16-2.33 kg m(-2)), we found that the models incorporating spatial or temporal stratification provide better performance. Notably, the model with spatiotemporal stratification achieved the better performance compared with results without stratification, with the prediction accuracy improved up to 57% in terms of CCC. Our results suggest that both the spatial- and temporal-scale effects of environmental heterogeneity on SOC processes need to be accounted for in the prediction of SOC changes. Furthermore, the results indicate that the developed approach can be used to map SOC changes over large regions. This study also emphasizes that to achieve accurate predictions, it is necessary to choose the proper environmental stratification method to refine the study unit.
WOS关键词CLIMATE-CHANGE ; SEQUESTRATION ; DECOMPOSITION ; DYNAMICS ; UNCERTAINTY ; IMPACTS ; MODELS ; INPUT ; CROPS
资助项目National Natural Science Foundation of China[42171054]
WOS研究方向Agriculture
语种英语
WOS记录号WOS:000884202100001
出版者WILEY
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/187126]  
专题中国科学院地理科学与资源研究所
通讯作者Wu, Yun-Jin
作者单位1.Tianjin Univ, Sch Earth Syst Sci, Tianjin 300072, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
4.Minist Ecol & Environm Peoples Republ China, Nanjing Inst Environm Sci, Nanjing 210042, Peoples R China
推荐引用方式
GB/T 7714
Yang, Ren-Min,Huang, Lai-Ming,Wu, Yun-Jin. Predicting spatiotemporal changes of surface soil organic carbon in China[J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,2022:15.
APA Yang, Ren-Min,Huang, Lai-Ming,&Wu, Yun-Jin.(2022).Predicting spatiotemporal changes of surface soil organic carbon in China.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,15.
MLA Yang, Ren-Min,et al."Predicting spatiotemporal changes of surface soil organic carbon in China".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL (2022):15.

入库方式: OAI收割

来源:地理科学与资源研究所

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