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中国东北地区玉米农田生态系统生长季碳交换研究
引用本文:叶昊天,姜海梅,李荣平. 中国东北地区玉米农田生态系统生长季碳交换研究[J]. 玉米科学, 2022, 30(1): 77-85,92
作者姓名:叶昊天  姜海梅  李荣平
作者单位:中国气象局河南省农业气象保障与应用技术重点开放实验室, 郑州 450003;河南省气象科学研究所, 郑州 450003;中国气象局气溶胶与云降水重点开放实验室, 南京 210044;南京信息工程大学大气物理学院, 南京 210044;辽宁省气象科学研究所, 沈阳 110000
基金项目:国家重点研发计划(2017YFC0209801)、国家自然科学基金(41505006)、中国气象局河南省农业气象保障与应用技术重点实验室应用技术研究基金项目(KM202018)
摘    要:利用中国气象局锦州农田野外观测站的碳通量观测数据分析玉米农田生态系统生长季CO2通量变化.结果 表明,2008~2011年生长季的夜间呼吸速率、白天净碳交换速率年际差异不大,8天累积净碳交换量呈U型分布,碳吸收强度在生长季中期最大.夜间呼吸作用Reco与EVIs×Ws(EVIs和Ws分别为增强型植被指数EVI、陆地表面...

关 键 词:玉米  农田生态系统  MODIS数据  呼吸模拟  碳交换
收稿时间:2020-11-25

Study on Carbon Exchange of a Maize Agroecosystem during Growing Seasons in Northeast China
YE Hao-tian,JIANG Hai-mei,LI Rong-ping. Study on Carbon Exchange of a Maize Agroecosystem during Growing Seasons in Northeast China[J]. Journal of Maize Sciences, 2022, 30(1): 77-85,92
Authors:YE Hao-tian  JIANG Hai-mei  LI Rong-ping
Affiliation:Henan Provincial Key Laboratory of Agrometeorological Ensuring and Applied Technique, China Meteorological Administration, Zhengzhou 450003;Henan Institute of Meteorological Sciences, Zhengzhou 450003;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing 210044;School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044; Liaoning Institute of Meteorological Sciences, Shenyang 110000, China
Abstract:Based on the carbon flux data over an agroecosystem in Jinzhou field station of China Meteorological Administration, the changes of CO2 flux in the growing seasons of the maize farmland ecosystem was analyzed. There was little interannual difference in night respiration rate and daytime net carbon exchange rate in the growing season from 2008 to 2011. The cumulative net carbon exchange in 8 days showed a U-shaped distribution, and the carbon absorption intensity was the largest in the middle of the growing season.The nocturnal ecosystem respiration is linear correlated with EVIs×Ws(EVIs and Ws are the functions of enhanced vegetation index and land surface water index on photosynthesis, respectively), and its response to land surface temperature follows L-T equation. The results showed that the respiration model based on remote sensing data was effective in estimating ecosystem respiration, which play an important role in carbon budget assessment of maize farmland ecosystem in Northeast China. In the four years, the growth season of the ecosystem showed carbon sink, and the proportion of carbon consumed by respiration to carbon fixed by photosynthesis was not different. The cumulative carbon exchange capacity was -513.37, -489.86, -482.06, -398.67 g/m2 respectively, and the carbon exchange capacity was relatively stable.
Keywords:Maize  Farmland ecosystem  MODIS data  Respiration simulation  Carbon exchange
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