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张掖湿地甲烷通量动态特征及其影响因子
引用本文:张强,蒋国庆,孙睿,徐自为,刘绍民.张掖湿地甲烷通量动态特征及其影响因子[J].生态学报,2017,37(17):5681-5690.
作者姓名:张强  蒋国庆  孙睿  徐自为  刘绍民
作者单位:遥感科学国家重点实验室(北京师范大学, 中国科学院遥感应用研究所), 北京 100875;北京师范大学地理学与遥感科学学院, 北京 100875;环境遥感与数字城市北京市重点实验室, 北京 100875,遥感科学国家重点实验室(北京师范大学, 中国科学院遥感应用研究所), 北京 100875;北京师范大学地理学与遥感科学学院, 北京 100875;环境遥感与数字城市北京市重点实验室, 北京 100875,遥感科学国家重点实验室(北京师范大学, 中国科学院遥感应用研究所), 北京 100875;北京师范大学地理学与遥感科学学院, 北京 100875;环境遥感与数字城市北京市重点实验室, 北京 100875,遥感科学国家重点实验室(北京师范大学, 中国科学院遥感应用研究所), 北京 100875;北京师范大学地理学与遥感科学学院, 北京 100875,遥感科学国家重点实验室(北京师范大学, 中国科学院遥感应用研究所), 北京 100875;北京师范大学地理学与遥感科学学院, 北京 100875
基金项目:国家自然科学基金(41471349);国家重点研发计划项目(2016YFB0501502);国家科技支撑计划项目(2013BAC03B02);中央高校基本科研业务费专项(2014kJJCA02)
摘    要:于2012年7月—2014年6月对地处干旱区的张掖湿地甲烷(CH_4)通量进行观测,分析其CH_4通量的变化特征及其影响因子。结果表明:CH_4通量的日变化趋势总体表现为白天大于夜间;不同季节CH_4通量排放特征差异明显,夏季最大,春秋次之,冬季最小;CH_4通量日总量与空气温度、土壤温度之间指数相关关系显著,其中4 cm处土壤温度与之相关性最强;1—6月摩擦风速(U*)与CH_4通量显著正相关;结合CO_2通量观测数据,研究时段张掖湿地净碳吸收量为495.92 g C m~(-2)a~(-1),为明显碳汇。

关 键 词:湿地  涡动相关  CH4通量  温度  摩擦风速
收稿时间:2016/6/13 0:00:00

CH4 flux variations and main factors from a reed wetland oasis-desert area in Zhangye, China
ZHANG Qiang,JIANG Guoqing,SUN Rui,XU Ziwei and LIU Shaomin.CH4 flux variations and main factors from a reed wetland oasis-desert area in Zhangye, China[J].Acta Ecologica Sinica,2017,37(17):5681-5690.
Authors:ZHANG Qiang  JIANG Guoqing  SUN Rui  XU Ziwei and LIU Shaomin
Institution:State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100875, China;School of Geography and Remote Sensing Sciences, Beijing Normal University, Beijing 100875, China;Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100875, China;School of Geography and Remote Sensing Sciences, Beijing Normal University, Beijing 100875, China;Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100875, China;School of Geography and Remote Sensing Sciences, Beijing Normal University, Beijing 100875, China;Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing 100875, China,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100875, China;School of Geography and Remote Sensing Sciences, Beijing Normal University, Beijing 100875, China and State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100875, China;School of Geography and Remote Sensing Sciences, Beijing Normal University, Beijing 100875, China
Abstract:Analyzing the characteristics and variations of CH4 flux in wetland would be very helpful in order to understand the importance of the carbon cycle in the terrestrial ecosystem. In the arid area, the Zhangye wetland features complex meteorological conditions, which have introduced obvious uncertainties into the carbon fluxes. However, there are few research studies on the carbon flux of wetland in the arid areas. It is helpful to strengthen the study of wetland ecological system in the arid areas. In order to study the dynamics of carbon flux in a wetland ecosystem, CO2 flux and CH4 flux were measured using an eddy covariance technique over a phragmites-dominated wetland in Zhangye, Gansu Province (from June in 2012 to August in 2014). In the present study, the CH4 flux variations and its main driving factors were analyzed based on the eddy covariance observations. The raw 10 Hz data were processed into 30 min mean values based on data quality control (spike detection, coordinate rotation, frequency response correction, etc.) and gap-filling (linear interpolation and Look-up Table method). The result showed the CH4 flux reaching its maximum in summer (0.34 g CH4 m-2 d-1), then spring and autumn, while getting the minimum values in winter (0.02 g CH4 m-2 d-1). Diurnal variation of CH4 flux indicated that the daytime values were higher than that of nighttime. There was an exponential relationship between CH4 flux and air temperature and soil temperature, and it was mostly correlated with the soil temperature in 4-cm depth, where the relationship was y=0.07614e0.03402x and R2 is 0.3560. CH4 fluxes also exhibited a strong relationship with friction velocity (R2=0.91 and 0.94, respectively, from January to March and from April to June). The enhanced turbulence could increase the ventilation and exchange of CH4 flux. CH4 flux significantly influenced the total carbon budget. By considering the absorption and emission of CO2 and CH4 fluxes, the net carbon uptake was 495.92 g C m-2 a-1. The carbon sink in Zhangye wetland was apparent during the study period.
Keywords:wetland  eddy covariance  CH4 flux  temperature  friction velocity
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