姚瑶,李广,王钧,杨传杰,张世康,刘帅楠.不同耕作措施下旱作春小麦农田二氧化碳排放模拟及敏感性分析[J].干旱地区农业研究,2021,39(3):171~178
不同耕作措施下旱作春小麦农田二氧化碳排放模拟及敏感性分析
Simulation and sensitivity analysis of carbon dioxide emissions under different tillage systems in dryland spring wheat fields
  
DOI:10.7606/j.issn.1000-7601.2021.03.21
中文关键词:  CO2排放  DNDC模型  耕作措施  敏感性分析
英文关键词:CO2 emissions  DNDC model  tillage systems  sensitivity analysis
基金项目:甘肃省财政专项(GSCZZ-20160909);甘肃省重点人才项目(LRYCZ-2020-1);甘肃省重点研发计划(18YF1NA070);甘肃省高等学校协同创新团队项目(2018C-16)
作者单位
姚瑶 甘肃农业大学信息科学技术学院,甘肃 兰州 730070 
李广 甘肃农业大学信息科学技术学院,甘肃 兰州 730070
甘肃农业大学林学院,甘肃 兰州 730070 
王钧 甘肃农业大学信息科学技术学院,甘肃 兰州 730070 
杨传杰 甘肃农业大学林学院,甘肃 兰州 730070 
张世康 甘肃农业大学农学院甘肃 兰州 730070 
刘帅楠 甘肃农业大学林学院,甘肃 兰州 730070 
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中文摘要:
      为探讨不同耕作措施下旱作春小麦农田CO2排放以及气候条件、土壤性质和作物管理措施对CO2排放影响的敏感性差异,本文基于DNDC模型,结合定西试验区旱作春小麦农田定点连续监测的CO2排放通量等数据,检验该模型模拟不同耕作措施下CO2排放的适宜性,并对其敏感性进行研究。结果表明:DNDC模型对不同处理下CO2排放的模拟结果与实测结果较为一致,即传统耕作(R=0.836、n=48、P<0.01)、传统耕作+秸秆覆盖(R=0.791、n=48、P<0.01)、免耕(R=0.758、n=48、P<0.01)、免耕+覆盖秸秆(R=0.843、n=48、P<0.01),表明该模型可以用来模拟不同耕作措施下旱作春小麦农田CO2排放;而模型敏感分析显示,年平均温度是模拟不同耕作措施下旱作春小麦农田CO2排放的敏感参数,其变化程度对模拟结果影响最大。
英文摘要:
      We investigated the sensitivity differences of CO2 emission in dryland spring wheat fields under different tillage systems and the effects of climatic conditions, soil properties and crop management measures on CO2 emission. In this paper, based on the DNDC model and combined with data such as CO2 emission flux monitored continuously at the fixed points for dryland spring wheat fields in the Dingxi experimental area, the suitability of the model to simulate CO2 emission under different tillage systems was tested and its sensitivity was studied. The results showed that the simulation results of CO2 emissions under different treatments by the DNDC model were more consistent with the measured results, namely traditional tillage (R=0.836, n=48, P<0.01), traditional tillage + straw mulch (R=0.791, n=48) , P<0.01), no\|tillage (R=0.758, n=48, P<0.01), no\|tillage + straw mulch (R=0.843, n=48, P<0.01), indicating that the model can be used to simulate different tillage emission of CO2 from spring wheat farmland under different measures. The model sensitivity analysis showed that the average annual temperature was the sensitive parameter to simulate the CO2 emission in dryland spring wheat fields under different tillage systems, and its variation degree had the greatest influence on the simulation results.
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