| Simulation and sensitivity analysis of carbon dioxide emissions under different tillage systems in dryland spring wheat fields |
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| DOI：10.7606/j.issn.1000-7601.2021.03.21 |
| Key Words: CO2 emissions DNDC model tillage systems sensitivity analysis |
| Author Name | Affiliation | | YAO Yao | College of Information Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | LI Guang | College of Information Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
College of Forestry, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | WANG Jun | College of Information Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | YANG Chuanjie | College of Forestry, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | ZHANG Shikang | College of Agriculture, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | LIU Shuainan | College of Forestry, 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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