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中国农学通报 ›› 2022, Vol. 38 ›› Issue (2): 63-70.doi: 10.11924/j.issn.1000-6850.casb2021-0341

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

白洋淀湿地CH4和CO2排放特征及其影响因素初探

赵颖1,2(), 王飞3()   

  1. 1山西省生态环境监测和应急保障中心,太原 030027
    2山西省生态环境科学研究院,太原 030027
    3山西大学体科所,太原 030006
  • 收稿日期:2021-04-01 修回日期:2021-08-05 出版日期:2022-01-15 发布日期:2022-02-25
  • 通讯作者: 王飞
  • 作者简介:赵颖,女,1982年出生,山西太原人,正高级工程师,博士,研究方向为流域水环境过程。通信地址:030027 山西省太原市尖草坪区兴华街11号 山西省环境科学研究院,Tel:0351-6262191,E-mail: 56787292@qq.com
  • 基金资助:
    国家自然科学基金项目“白洋淀湿地水-土-植被体系碳排放及其调控机理研究”(41601202);山西省重点研发项目“污灌区土壤-作物体系复合污染效应及其人体健康风险研究”(201803D221002-4);山西省重点研发项目“汾河流域城市景观-水环境生态效应改善的系统管控与技术集成研究”(201903D321069)

Characteristics and Influencing Factors of CH4 and CO2 Emissions in Baiyangdian Wetland

ZHAO Ying1,2(), WANG Fei3()   

  1. 1Shanxi Provincial Security Center of Ecological Environmental Monitoring and Emergency, Taiyuan 030027
    2Shanxi Provincial Academy of Ecological Environmental Science, Taiyuan 030027
    3Physical Science Institute of Shanxi University, Taiyuan 030006
  • Received:2021-04-01 Revised:2021-08-05 Online:2022-01-15 Published:2022-02-25
  • Contact: WANG Fei

摘要:

本研究旨在探索白洋淀湿地碳排放规律及影响因素,以期为制定该地区的碳管理决策提供技术支持。运用静态箱-气相色谱法,测定了白洋淀湿地不同时间、区域环境下甲烷(CH4)和二氧化碳(CO2)的排放通量。结果表明,5—10月CH4和CO2排放通量均呈现先增大后减少的变化趋势,其中7月CH4和CO2排放通量的日变化较大。在空间上,CH4排放通量表现为水陆交错带芦苇>台地芦苇区>湖面区>陆地区;CO2的排放通量呈现出与CH4排放相反的结果。CH4和CO2排放通量均与温度和土壤TN含量显著正相关(P<0.05)。此外,多数情况下的CH4和CO2的排放存在显著正相关的关系(P<0.05)。综上所述,白洋淀湿地CH4和CO2的排放通量具有明显的时空变化规律,且受到气温、土壤N和植物生物量不同程度的影响。

关键词: 白洋淀湿地, CH4排放, CO2排放, 影响因素

Abstract:

This study explored the carbon emissions and their influencing factors in Baiyangdian wetland, in order to provide a basis for the carbon management. Temporal and spatial variations of methane (CH4) and carbon dioxide (CO2) emission fluxes in Baiyangdian wetland were measured using the static closed chamber gas chromatography technique. The temporal variations show that the CH4 and CO2 emission fluxes increase first then decrease from May to October, and the daily variation of CH4 and CO2 emission fluxes is relatively large in July. The spatial variation of CH4 emission fluxes is in the following order: ecotone zone with reeds>terrace zone with reeds>water zone>terrestrial zone. However, the CO2 emission fluxes show the opposite results. Besides that, CH4 and CO2 emission fluxes are significantly and positively correlated with temperature and soil TN content (P<0.05). Under the same environmental condition, CH4 and CO2 emission fluxes have significantly positive correlations (P<0.05). In sum, CH4 and CO2 emission fluxes show significant temporal and spatial variation, and are influenced by air temperature, soil N and reeds biomass.

Key words: Baiyangdian wetland, methane emissions, carbon dioxide emissions, influencing factors

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