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中国沙漠 ›› 2016, Vol. 36 ›› Issue (5): 1286-1295.DOI: 10.7522/j.issn.1000-694X.2016.00029

• 生物与土壤 • 上一篇    下一篇

青海湖高寒湿地生态系统CO2通量和水汽通量间的耦合关系

曹生奎1,2, 曹广超1, 陈克龙1, 冯起1,2, 李忠勤2, 张静1, 汉光昭1, 林阳阳1   

  1. 1. 青海师范大学 生命与地理科学学院/青海省自然地理与环境过程重点实验室, 青海 西宁 810008;
    2. 中国科学院寒区旱区环境与工程研究所, 甘肃 兰州 730000
  • 收稿日期:2015-12-23 修回日期:2016-03-07 出版日期:2016-09-20 发布日期:2016-09-20
  • 作者简介:曹生奎(1979-),男,青海西宁人,博士,教授,主要从事全球变化生态学及生态水文与水资源学研究。E-mail:caoshengkui@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”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)

Coupling Relationships Between Alpine Wetland Ecosystem CO2 and Vapor Fluxes around the Qinghai Lake

Cao Shengkui1,2, Cao Guangchao1, Chen Kelong1, Feng Qi1,2, Li Zhongqing2, Zhang Jing1, Han Gaungzhao1, Lin Yangyang1   

  1. 1. College of Life and Geographical Science/Qinghai Province Key Laboratory of Physical Geography and Environmental Process, Qinghai Normal University, Xining 810008, China;
    2. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2015-12-23 Revised:2016-03-07 Online:2016-09-20 Published:2016-09-20

摘要: 利用涡度相关技术对青海湖高寒湿地生态系统不同时间尺度CO2通量和水汽通量间的耦合关系进行了研究。结果显示:不同天气条件下青海湖高寒湿地生态系统30 min净CO2交换量(NEE)与水汽通量间均显示了极显著负相关关系(P<0.0001);30 min总生态系统生产力(GEP)与水汽通量呈极显著线性正相关关系(P<0.0001);阴天水汽通量参与生态系统净CO2交换和生态系统总碳吸收的比例最高。月均30 min NEE与水汽通量呈极显著线性负相关(R2=0.71,P<0.0001)。从植物返青期、生长期至枯草期,月均30 min的GEP与水汽通量不仅呈极显著线性正相关(P<0.0001),且在生长期和枯黄期阶段表现出极显著一元二次多项式关系(P<0.0001)。在日尺度上,NEE日总量与日蒸散量呈极显著一元二次多项式负相关关系(R2=0.58,P<0.0001);GEP日总量与日蒸散量呈极显著指数正相关(R2=0.42,P<0.0001)。在月尺度上,NEE月总量与月蒸散量呈极显著线性负相关(R2=0.60,P<0.0001),两者还表现为极显著一元二次多项式负相关关系(R2=0.63,P<0.0001)。GEP月总量与月蒸散量呈极显著线性正相关(R2=0.51,P<0.0001),且表现出极显著指数正相关关系(R2=0.64,P<0.0001)。

关键词: 生态系统净CO2交换, 总生态系统生产力, 水汽通量, 耦合关系, 高寒湿地, 青海湖

Abstract: This paper studied the coupling relationships between alpine wetland ecosystem CO2 fluxes and vapor fluxes on the different time scales with the eddy covariance techniques in Qinghai Lake. Results showed that alpine wetland ecosystem half-hour CO2 fluxes and vapor fluxes in Qinghai Lake existed in extreme significant negative relationships (P<0.0001), as well as extreme significant and positive linear relationships between half-hour gross ecosystem productivities (GEPs) and vapor fluxes, which the ratio of vapor fluxes participating in ecosystem net CO2 exchanges (NEE) and ecosystem total carbon absorption in the cloudy days was highest. The alpine wetland ecosystem monthly average half-hour NEEs and vapor fluxes showed an extreme significant negative relationship (R2=0.71,P<0.0001). From vegetation green up stage, growing stage to wilt stage, monthly average half-hour GEPs and vapor fluxes not only showed extreme significant positive linear relationship(P<0.0001), but also a quadratic polynomial one(P<0.0001) at growing stage and withering stage. On the daily scale, the alpine wetland ecosystem daily total NEE and evapotranspiration in Qinghai Lake existed in an extreme significant negative a quadratic polynomial nonlinear relationship (R2=0.58,P<0.0001). The alpine wetland ecosystem daily total GEP and evapotranspiration showed an extreme significant positive exponential correlation (R2=0.42,P<0.0001). On the monthly scale, the alpine wetland ecosystem monthly total NEE and evapotranspiration in Qinghai Lake showed an extreme significant negative linear relationship (R2=0.60,P<0.0001), as well as a quadratic polynomial nonlinear negative relationship (R2=0.63,P<0.0001). The alpine wetland ecosystem monthly total GEPs and evapotranspiration showed an extreme significant positive linear correlation (R2=0.51,P<0.0001) as well as a positive exponential relationship (R2=0.64,P<0.0001).

Key words: ecosystem net CO2 exchange, gross ecosystem productivity(GEP), vapor flux, coupling relationships, alpine wetland, Qinghai Lake

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