| 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 |
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| 引用本文： | 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 |
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| 作者姓名： | 姚瑶 李广 王钧 杨传杰 张世康 刘帅楠 |
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| 作者单位： | 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;甘肃农业大学林学院,甘肃 兰州730070;甘肃农业大学农学院,甘肃 兰州730070 |
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| 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) |
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| 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...
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| 关 键 词： | CO2排放 DNDC模型 耕作措施 敏感性分析 |
Simulation and sensitivity analysis of carbon dioxide emissions under different tillage systems in dryland spring wheat fields |
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| YAO Yao,LI Guang,WANG Jun,YANG Chuanjie,ZHANG Shikang,LIU Shuainan. Simulation and sensitivity analysis of carbon dioxide emissions under different tillage systems in dryland spring wheat fields[J]. Agricultural Research in the Arid Areas, 2021, 39(3): 171-178 |
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| Authors: | YAO Yao LI Guang WANG Jun YANG Chuanjie ZHANG Shikang LIU Shuainan |
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| Affiliation: | College of Information Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China;College of Information Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China; College of Forestry, Gansu Agricultural University, Lanzhou, Gansu 730070, China;College of Agriculture, Gansu Agricultural University, Lanzhou, Gansu 730070, China |
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| Abstract: | 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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| Keywords: | CO2 emissions DNDC model tillage systems sensitivity analysis |
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