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中国沙漠 ›› 2018, Vol. 38 ›› Issue (5): 1078-1085.DOI: 10.7522/j.issn.1000-694X.2017.00057

• 天气与气候 • 上一篇    下一篇

青海湖高寒湿地生态系统生长季CH4通量

吴方涛1,2, 曹生奎1,2, 曹广超1,2, 汉光昭1, 林阳阳1, 成淑艳1   

  1. 1. 青海师范大学 生命与地理科学学院, 青海 西宁 810008;
    2. 青海师范大学 青海省自然地理与环境过程重点实验室, 青海 西宁 810008
  • 收稿日期:2017-04-16 修回日期:2017-06-14 出版日期:2018-09-20 发布日期:2018-11-03
  • 通讯作者: 曹生奎(E-mail:caoshengkui@163.com)
  • 作者简介:吴方涛(1991-),男,河南商丘人,硕士研究生,主要从事全球变化生态学及陆地生态系统碳循环方面的研究。E-mail:wuft1991@163.com
  • 基金资助:
    国家自然科学基金项目(31260130);中国科学院"西部之光"人才计划项目(科发人教字[2012]179号);中国博士后基金项目(2013M542400);教育部科学技术重点研究项目和青海省重点实验室平台建设项目(2014-Z-Y24,2015-Z-Y01)

CH4 Flux Characteristics of Qinghai Lake Alpine Wetland Ecosystem during Growing Season

Wu Fangtao1,2, Cao Shengkui1,2, Cao Guangchao1,2, Han Guangzhao1, Lin Yangyang1, Cheng Shuyan1   

  1. 1. College of Life and Geography Sciences, Qinghai Normal University, Xining 810008, China;
    2. Qinghai Province Key Laboratory of Physical Geography and Environmental Process, Qinghai Normal University, Xining 810008, China
  • Received:2017-04-16 Revised:2017-06-14 Online:2018-09-20 Published:2018-11-03

摘要: 利用涡度相关法研究青海湖高寒湿地生态系统2015-2016年生长季CH4通量。结果显示:生长季CH4通量表现为白天排放、夜间微弱吸收或排放的日变化特征,其中2015年CH4通量日平均值为56.67 mg·m-2,2016年CH4通量日平均值为35.92 mg·m-2。7月和8月排放量最大,生长季前期和后期排放较弱,2015年最大排放量出现在7月,为3.76 g·m-2,2016最大排放量出现在8月,为1.67 g·m-2。温度、电导率、土壤体积含水量与CH4通量显著相关,气温和CH4通量线性正相关。生态系统总初级生产力和呼吸及水热通量与CH4通量也存在显著的相关关系,其中生态系统总初级生产力和呼吸是影响甲烷动态变化的主要因子。

关键词: 青海湖, 高寒湿地, 甲烷通量, 涡度相关

Abstract: Taking the Qinghai Lake alpine wetland ecosystem as the research object, the CH4 flux of 2015 and 2016 years was studied using the eddy covariance method. Results show that the average diurnal variation of CH4 emission in the daytime and weakly absorbed or emissioned at night, with daily average value was 56.67 mg·m-2 in 2015, and the value was 35.92 mg·m-2 in 2016. July and August of the growing season wre the largest monthly emissions, while emissions were weaker in the early and late growth season. The maximum monthly emission in 2015 was in July, with a value of 3.76 g·m-2, 2016 the maximum monthly emission occurred in August with a value of 1.67 g·m-2. There was a significant correlation between temperature, soil conductivity, soil volume water content and CH4 flux, among them the air temperature is liningly related to CH4 flux. There was also a significant correlation between total primary productivity, respiration, hydrothermal flux and CH4 flux, and the primary productivity and respiration of ecosystems were the main factors affecting the dynamic change of methane.

Key words: Qinghai Lake, alpine wetland, methane flux, eddy covariance

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