img

官方微信

高级检索

中国沙漠 ›› 2023, Vol. 43 ›› Issue (3): 220-229.DOI: 10.7522/j.issn.1000-694X.2022.00131

• • 上一篇    

反硝化-分解模型在荒漠土壤CH4N2O通量估计中的应用

张世航1,3(), 岳平4, 陈玉森2,3, 郭浩1,3, 陆永兴1,3, 郭星1,3, 刘朝红1,5, 刘学军6, 周晓兵1(), 张元明1   

  1. 1.中国科学院新疆生态与地理研究所,荒漠与绿洲生态国家重点实验室,新疆 乌鲁木齐 830011
    2.中国科学院新疆生态与地理研究所,荒漠-绿洲生态建设工程技术研究中心,新疆 乌鲁木齐 830011
    3.中国科学院大学,北京 100049
    4.中国科学院西北生态环境资源研究院 乌拉特荒漠草原研究站/奈曼沙漠化研究站/寒区旱区逆境生理与生态重点实验室,甘肃 兰州 730000
    5.新疆农业大学 资源与环境学院,新疆 乌鲁木齐 830052
    6.中国农业大学 资源与环境学院,北京 100193
  • 收稿日期:2022-08-26 修回日期:2022-11-01 出版日期:2023-05-20 发布日期:2023-05-31
  • 通讯作者: 周晓兵
  • 作者简介:周晓兵(E-mail: zhouxb@ms.xjb.ac.cn
    张世航(1997—),男,安徽安庆人,硕士研究生,主要从事干旱区养分储量估算研究。E-mail: zhangshihang20@mails.ucas.ac.cn
  • 基金资助:
    新疆杰出青年科学基金项目(2021D01E03);国家自然科学基金项目(U2003214)

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

摘要:

甲烷(CH4)和氧化亚氮(N2O)等温室气体通量具有高度时空变化特点,通过野外站点直接测量耗时且费力。为弥补监测方面不足,解析变化环境下反硝化-分解模型(DNDC)模拟值和样地原位观测值之间的对应关系,探讨模型在温室气体预测方面的潜力具有意义。本文选择古尔班通古特沙漠,对氮沉降影响下荒漠土壤CH4和N2O通量进行了模拟估计,并与实测数据进行了对比分析。结果表明:DNDC模型可较好地模拟荒漠土壤N2O通量的变化,模拟值与实测值显著相关(P<0.001);而模型对荒漠土壤CH4吸收量的变化模拟效果不显著,但模拟的年累计吸收量与真实值较为符合。DNDC模型敏感性试验分析表明,随着年平均气温、土壤有机碳(SOC)含量和施氮量的增加,土壤N2O排放量和CH4的吸收量显著增加;年降水量对土壤N2O和CH4通量变化影响不显著;土壤容重与土壤N2O排放量和CH4吸收量显著负相关;土壤质地对两种温室气体排放的影响显著,其中砂壤土影响最大。多元回归分析表明温度是荒漠土壤N2O和CH4的通量变化最重要影响因素。因此,在全球变化背景下,尽管模型目前运用于荒漠区还存在一些问题,但在将来荒漠区温室气体通量的变化估算方面仍具有很强的应用价值。

关键词: DNDC模型, 古尔班通古特沙漠, 温室气体, N2O排放, CH4吸收

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

中图分类号: