Diurnal variations of carbon dioxide, methane, and nitrous oxide fluxes from invasive Spartina alterniflora dominated coastal wetland in northern Jiangsu Province

XU Xinwanghao FU Guanghe ZOU Xinqing GE Chendong ZHAO Yifei

许鑫王豪, 傅光翮, 邹欣庆, 葛晨东, 赵一飞. 苏北滨海湿地互花米草潮滩CO2,CH4和N2O通量的日变化规律[J]. 海洋学报英文版, 2017, 36(4): 105-113. doi: 10.1007/s13131-017-1015-1
引用本文: 许鑫王豪, 傅光翮, 邹欣庆, 葛晨东, 赵一飞. 苏北滨海湿地互花米草潮滩CO2,CH4和N2O通量的日变化规律[J]. 海洋学报英文版, 2017, 36(4): 105-113. doi: 10.1007/s13131-017-1015-1
XU Xinwanghao, FU Guanghe, ZOU Xinqing, GE Chendong, ZHAO Yifei. Diurnal variations of carbon dioxide, methane, and nitrous oxide fluxes from invasive Spartina alterniflora dominated coastal wetland in northern Jiangsu Province[J]. Acta Oceanologica Sinica, 2017, 36(4): 105-113. doi: 10.1007/s13131-017-1015-1
Citation: XU Xinwanghao, FU Guanghe, ZOU Xinqing, GE Chendong, ZHAO Yifei. Diurnal variations of carbon dioxide, methane, and nitrous oxide fluxes from invasive Spartina alterniflora dominated coastal wetland in northern Jiangsu Province[J]. Acta Oceanologica Sinica, 2017, 36(4): 105-113. doi: 10.1007/s13131-017-1015-1

苏北滨海湿地互花米草潮滩CO2,CH4和N2O通量的日变化规律

doi: 10.1007/s13131-017-1015-1

Diurnal variations of carbon dioxide, methane, and nitrous oxide fluxes from invasive Spartina alterniflora dominated coastal wetland in northern Jiangsu Province

  • 摘要: 外来种互花米草的引入,对苏北滨海湿地生态系统的功能以及生物多样性造成一定的影响,尤其是温室气体的排放方面。然而,有关互花米草对滨海湿地温室气体排放的研究却相对缺乏,特别是小尺度范围内,比如温室气体排放的日变化规律方面。基于此,本研究选择2013年的6月,10月,12月以及2014年的4月,分别代表夏季、秋季、冬季和春季,在每个季节中选取一个整天,利用静态暗箱-气相色谱法对CO2,CH4和N2O通量的日变化进行观测以及分析。结果发现:(1)CH4平均通量在互花米草的生长季表现为排放,而在非生长季表现为吸收;在夏季,基本上表现为CH4的排放,而在其他季节,则既有排放,也有吸收。CO2和N2O平均通量则表现为生长季明显大于非生长季,其中生长季平均CO2通量是1536.5 mg CO2 m-2 h-1,非生长季则是379.1 mg CO2 m-2 h-1,而N2O分别是25.6和16.5 μg N2O m-2 h-1。(2)在日变化尺度范围内,除了10月份,在其他月份,日平均CH4通量均大于夜平均CH4通量;6月份CO2通量和10月份的N2O通量的日变化则主要呈现出一些波动趋势,而10月份和4月份的CO2和N2O通量则成双峰分布,在10月份,主峰出现在早上,而在4月份,主峰则出现在下午。6月份的N2O通量的日变化呈单峰分布,峰值出现在15:00(86.4 μg N2O m-2 h-1)。(3)10月份,互花米草潮滩由于降水原因出现一定程度的积水,积水增加了CO2的排放,却降低了N2O和CH4的排放。(4)昼夜平均以及总CO2通量在10月份大于其他月份,而CH4和N2O则在6月份最大。(5)温室气体通量存在着一定的日变化,所以选择最优化的采样时间对于大时间尺度内(季节和年际)碳排放结果的估算有重要的影响,本文的研究结果可以为滨海湿地温室气体通量的日变化取样的最优时间段的选取提供一定的建议。
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  • 收稿日期:  2015-12-19
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