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Journal of Desert Research ›› 2023, Vol. 43 ›› Issue (3): 220-229.DOI: 10.7522/j.issn.1000-694X.2022.00131

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Simulation of changes in CH4 and N2O fluxes in desert soils by the DNDC model

Shihang Zhang1,3(), Ping Yue4, Yusen Chen2,3, Hao Guo1,3, Yongxing Lu1,3, Xing Guo1,3, Chaohong Liu1,5, Xuejun Liu6, Xiaobing Zhou1(), Yuanming Zhang1   

  1. 1.State Key Laboratory of Desert and Oasis Ecology /, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China
    2.Engineering Technology Research Center for Desert-Oasis Ecological Construction, Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China
    3.University of Chinese Academy of Sciences,Beijing 100049,China
    4.Urat Desert-Grassland Research Station / Naiman Desertification Research Station / Key Laboratory of Stress Physiology and Ecology,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
    5.College of Resources and Environmental Sciences,Xinjiang Agricultural University,Urumqi 830052,China
    6.College of Resources and Environmental Sciences,China Agricultural University,Beijing 100193,China
  • Received:2022-08-26 Revised:2022-11-01 Online:2023-05-20 Published:2023-05-31
  • Contact: Xiaobing Zhou

Abstract:

Greenhouse gas (GHGs) fluxes such as methane (CH4) and nitrous oxide (N2O) vary strongly with spatial and temporal changes in terrestrial ecosystems. It is time-consuming and laborious to directly measure GHGs in the field. The application of the DNDC (denitrification-decomposition) model on data of in-situ observations would be beneficial for the determination of GHGs dynamics, which would fill the monitoring gap. Potential of the DNDC model for GHGs prediction was explored in this study. Characteristics in CH4 and N2O fluxes were simulated and compared from soils under the effects of different concentrations of nitrogen addition in the Gurbantunggut Desert. The results showed that the DNDC model can simulate the changes in N2O emissions from desert soils, with the simulated values significantly correlated with the measured values (P<0.001). However, the simulated changes in CH4 uptake in desert soils were not significant with measured values, although the simulated annual cumulative uptake was not significantly different. The sensitivity test analysis of the DNDC model showed that soil N2O emissions and CH4 uptake increased significantly with increasing mean annual temperature, soil organic carbon (SOC) content and nitrogen application. Annual precipitation had no significant effect on changes in soil N2O and CH4 fluxes, and soil bulk weight showed significant negative correlation with soil N2O emissions and CH4 uptake. Different textured soils had significant effects on the two GHG emissions, with sandy loam soils having the greatest effects. We found that temperature was the most important factor influencing the fluxes of N2O and CH4 in desert soils through multiple regression analysis. Under the background of global change, our results suggested that the DNDC model would have a strong application prospect in estimating the changes in greenhouse gas fluxes in desert areas in the future, although there are still some problems in the application of the model to desert areas.

Key words: DNDC model, Gurbantunggut Desert, greenhouse gas, N2O emissions, CH4 uptake

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