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Modeling the effects of farming management practices on soil organic carbon stock at a county-regional scale

文献类型：期刊论文

作者Chen, Zhao2; Wang, Jing5; Deng, Nanrong4; Lv, Changhe6; Wang, Qi4; Yu, Haibin1; Li, Wangjun3
刊名CATENA
出版日期2018
卷号160页码:76-89
关键词DNDC Soil organic carbon Validation Simulation Farming management scenario
ISSN号0341-8162
DOI10.1016/j.catena.2017.09.006
通讯作者Lv, Changhe(shuangshi1010@126.com)
英文摘要Farming management practices are paramount for soil organic carbon (SOC) sequestration in carbon cycling at different scales. However, due to a lack of detailed data, estimating the impacts of different farming management alternatives on overall SOC stock remains inadequately quantified, especially at the county-regional scale. Here, an agricultural county-region, Yucheng County, which covers an area of 988.5 km(2) in the North China Plain, was selected as a case to estimate the impacts of different farming management practices on SOC stock using explicit spatial information and the DeNitrification-DeComposition (DNDC) model. We constructed a database by creating 524 polygon-based homogeneous modeling units using climate, soil and farming management information, which were linked to the DNDC to support the county-regional-scale simulations. Four experiments lasting from 2003 or 2004 to 2010 and 247 soil samples collected in 2009 from a soil depth of 0-20 cm across the study area were used for field- and regional-scale model validation, respectively. Validation results indicated that the DNDC model was acceptable for modeling SOC stock in Yucheng County. Seven farming management scenarios were designed for predicting the SOC stock from 1980 to 2020. Simulation results indicated that the changes in fanning management practices had strong effects on carbon sequestration, with the maximum SOC stock ranging from 3.99 to 6.34 Mt. C across the county. The simulation results improved our understanding of the comprehensive impacts of management practices on the soil C pool when upscaling to larger regional or national scales.
WOS关键词NORTH CHINA PLAIN ; GREENHOUSE-GAS EMISSIONS ; LONG-TERM EXPERIMENTS ; PADDY SOILS ; DNDC MODEL ; LAND-USE ; CLIMATE-CHANGE ; AGRICULTURAL MANAGEMENT ; N2O EMISSIONS ; DYNAMICS
资助项目National Key Basic Research Program of China[2012CB955304] ; Science Foundation for Young Scientists of Guangdong Academy of Sciences[qnjj201305] ; Project of Science and Technology Innovation Platform of Guangdong Province[2015B070701017]
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
WOS记录号WOS:000414880400009
出版者ELSEVIER SCIENCE BV
资助机构National Key Basic Research Program of China ; Science Foundation for Young Scientists of Guangdong Academy of Sciences ; Project of Science and Technology Innovation Platform of Guangdong Province
源URL[http://ir.igsnrr.ac.cn/handle/311030/61164]  
专题中国科学院地理科学与资源研究所
通讯作者Lv, Changhe
作者单位1.Sun Yat Sen Univ, Sch Life Sci, Guangzhou 510275, Guangdong, Peoples R China
2.Guangdong Inst Ecoenvironm Sci & Technol, Guangdong Key Lab Agr Environm Pollut Integrated, Guangzhou 510650, Guangdong, Peoples R China
3.Suzhou Univ Sci & Technol, Sch Environm Sci & Engn, Suzhou 215009, Peoples R China
4.Guangdong Inst Ecoenvironm & Soil Sci, Guangdong Key Lab Agr Environm Pollut Integrated, Guangzhou 510650, Guangdong, Peoples R China
5.Sun Yat Sen Univ, Xinhua Coll, Dept Biomed Engn, Guangzhou 510520, Guangdong, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Jia 11,Datun Rd, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Zhao,Wang, Jing,Deng, Nanrong,et al. Modeling the effects of farming management practices on soil organic carbon stock at a county-regional scale[J]. CATENA,2018,160:76-89.
APA Chen, Zhao.,Wang, Jing.,Deng, Nanrong.,Lv, Changhe.,Wang, Qi.,...&Li, Wangjun.(2018).Modeling the effects of farming management practices on soil organic carbon stock at a county-regional scale.CATENA,160,76-89.
MLA Chen, Zhao,et al."Modeling the effects of farming management practices on soil organic carbon stock at a county-regional scale".CATENA 160(2018):76-89.

入库方式： OAI收割

来源：地理科学与资源研究所

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