中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
spatialanalysisofthesoilcarbonsequestrationpotentialofcropresiduereturninchinabasedonmodelsimulation

文献类型:期刊论文

作者Chen Jinghua2; Wang Shaoqiang2; Kraxner Florian3; Balkovic Juraj3; Xu Xiyan4; Sun Leigang1
刊名journalofresourcesandecology
出版日期2019
卷号10期号:2页码:184
ISSN号1674-764X
英文摘要Crop-residue return is a recommended practice for soil and nutrient management and is important in soil organic carbon (SOC) sequestration and CO_2 mitigation.We applied a process-based Environmental Policy Integrated Climate (EPIC) model to simulate the spatial pattern of topsoil organic carbon changes from 2001 to 2010 under 4 crop-residue return scenarios in China.The carbon loss (28.89 Tg yr~(-1)) with all crop-residue removal (CR0%) was partly reduced by 22.38 Tg C yr~(-1) under the status quo CR30% (30% of crop-residue return).The topsoil in cropland of China would become a net carbon sink if the crop-residue return rate was increased from 30% to 50%,or even 75%.The national SOC sequestration potential of cropland was estimated to be 25.53 Tg C yr~(-1) in CR50% and 52.85 Tg C yr~(-1) in CR75%,but with high spatial variability across regions.The highest rate of SOC sequestration potential in density occurred in Northwest and North China while the lowest was in East China.Croplands in North China tended to have stronger regional SOC sequestration potential in storage.During the decade,the reduced CO_2 emissions from enhanced topsoil carbon in CR50% and CR75% were equivalent to 1.4% and 2.9% of the total CO_2 emissions from fossil fuels and cement production in China,respectively.In conclusion,we recommend encouraging farmers to return crop-residue instead of burning in order to improve soil properties and alleviate atmospheric CO_2 rises,especially in North China.
语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/120332]  
专题中国科学院地理科学与资源研究所
作者单位1.Institute of Geographical Sciences,Hebei Academy of Sciences
2.中国科学院地理科学与资源研究所
3.Ecosystems Services and Management Program,International Institute for Applied Systems Analysis
4.中国科学院大气物理研究所
推荐引用方式
GB/T 7714
Chen Jinghua,Wang Shaoqiang,Kraxner Florian,et al. spatialanalysisofthesoilcarbonsequestrationpotentialofcropresiduereturninchinabasedonmodelsimulation[J]. journalofresourcesandecology,2019,10(2):184.
APA Chen Jinghua,Wang Shaoqiang,Kraxner Florian,Balkovic Juraj,Xu Xiyan,&Sun Leigang.(2019).spatialanalysisofthesoilcarbonsequestrationpotentialofcropresiduereturninchinabasedonmodelsimulation.journalofresourcesandecology,10(2),184.
MLA Chen Jinghua,et al."spatialanalysisofthesoilcarbonsequestrationpotentialofcropresiduereturninchinabasedonmodelsimulation".journalofresourcesandecology 10.2(2019):184.

入库方式: OAI收割

来源:地理科学与资源研究所

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