| 基于模型模拟的中国秸秆还田固碳潜力空间格局分析（英文） |
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| 引用本文： | 陈敬华,王绍强,Florian KRAXNER,Juraj BALKOVIC,徐希燕,孙雷刚.基于模型模拟的中国秸秆还田固碳潜力空间格局分析（英文）[J].资源与生态学报（英文版）,2019(2):184-195. |
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| 作者姓名： | 陈敬华 王绍强 Florian KRAXNER Juraj BALKOVIC 徐希燕 孙雷刚 |
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| 作者单位： | 中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室;中国科学院大学资源与环境学院;中国地质大学(武汉)地理信息与工程学院;生态系统服务和管理项目国际应用系统分析研究所;中国科学院大气物理研究所东亚区域气候环境重点实验室;河北省科学院地理科学研究所河北省地理信息开发应用工程技术研究中心 |
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| 基金项目： | The National Key Research and Development Program of China(2017YFC0503803);The National Key Research and Development Program of China(2016YFA0600202);General Program of National Natural Science Foundation of China(41571192);Science and Technology Planning Project of Hebei,China(17390313D) |
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| 摘 要： | 农作物秸秆还田作为农田土壤和养分管理的推荐做法之一,对于土壤有机碳(SOC)固定和CO_2减排具有重要意义。本研究利用环境政策综合气候模型(EPIC)模拟了4种作物秸秆还田情形下2001年至2010年中国农田表层土壤有机碳变化及其空间格局。模拟结果显示,秸秆完全移除(CR0%)下的土壤有机碳损失为28.89 Tg yr–1,当前30%的秸秆还田(CR30%)能够减缓22.38 Tg C yr–1的碳损失。若秸秆还田率从30%提高至50%(CR50%)乃至75%(CR75%),中国农田表层土壤将变为净碳汇。中国农田表层土壤固碳潜力在CR50%和CR75%情形下分别可达25.53 Tg C yr–1和52.85 Tg C yr–1,且在不同农业区存在空间异质性。单位面积土壤固碳潜力在西北和华北地区最高,而华东最低。华北地区具有最高的区域固碳潜力。在这十年间,CR50%和CR75%情形下增加的土壤表层有机碳相当于减少了1.4%和2.9%的中国CO_2排放总量。总之,我们建议鼓励我国农民将原本直接焚烧或用作家用燃料的秸秆返还田间以改善土壤性质和减缓大气CO_2增加,尤其是华北地区更应推行这一举措。
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| 关 键 词： | 农田 秸秆还田 土壤固碳 空间格局 EPIC模型 |
Spatial Analysis of the Soil Carbon Sequestration Potential of Crop-residue Return in China Based on Model Simulation |
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| CHEN Jinghua,WANG Shaoqiang,XU Xiyan,SUN Leigang.Spatial Analysis of the Soil Carbon Sequestration Potential of Crop-residue Return in China Based on Model Simulation[J].Journal of Resources and Ecology,2019(2):184-195. |
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| Authors: | CHEN Jinghua WANG Shaoqiang XU Xiyan SUN Leigang |
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| Institution: | (Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Beijing 100101,China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China;Ecosystems Services and Management Program, International Institute for Applied Systems Analysis, Laxenburg A-2361, Austria;Key Laboratory of Regional Climate-Environment for East Asia, Institute of Atmospheric Physics, Beijing 100029, China;Hebei Engineering Research Center for Geographic Information Application, Institute of Geographical Sciences, Hebei Academy of Sciences,Shijiazhuang 050011, China) |
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| Abstract: | CHEN Jinghua;WANG Shaoqiang;XU Xiyan;SUN Leigang(Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Beijing 100101,China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China;Ecosystems Services and Management Program, International Institute for Applied Systems Analysis, Laxenburg A-2361, Austria;Key Laboratory of Regional Climate-Environment for East Asia, Institute of Atmospheric Physics, Beijing 100029, China;Hebei Engineering Research Center for Geographic Information Application, Institute of Geographical Sciences, Hebei Academy of Sciences,Shijiazhuang 050011, China) |
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| Keywords: | cropland crop-residue return soil carbon sequestration spatial pattern EPIC model |
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