• DocumentCode
    2519802
  • Title

    Simulating Effects of Temperature and Moisture on Carbon Emission of Permafrost Peatland in Mohe, China

  • Author

    Wang Xianwei ; Li Xiuzhen ; Lv Jiujun ; Li Zongmei

  • Author_Institution
    Inst. of Appl. Ecology, Chinese Acad. of Sci., Shenyang, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The response of stores of carbon in peatland to global warming is a major uncertainty in predicting the future carbon budget. We used a short-term laboratory incubation to simulate effects on the potential CO2 emission of peatland soil in Mohe, China under soil temperature (5, 10 15 and 20degC) and soil moisture (0, 30, 60, 100%WHC and completely water saturated). The rates of peat carbon mineralized decreased greatly in the earlier phase, but became stabile after 20 days and total carbon mineralization ranged 20.04 to 112.92 mg across sites and experiment treatments. Carbon mineralization rates decreased with soil depth, increased with temperature and reached highest rates at 60%WHC at the same temperature for all treatments. The calculated Q10 values ranged from 1.878 to 2.181, varying with the soil depths and soil moisture. The sensitivity of Cflux to moisture depend on temperature. However the Q10 was not significantly affected by soil moisture and depth. We developed a two compartment model to predict the measured CO2 emission as a multiplicative function of temperature and moisture and the model predicted Cflux very well (R2>0.888, P<0.001). Our results indicate that the Mohe peatlands would lead to a positive feedback effect on climate change. It is necessary to include such responses in models science they might represent a potential C emission source to peatland ecosystem.
  • Keywords
    air pollution; carbon compounds; global warming; moisture; soil; CO2; China; Mohe; carbon emission; carbon mineralization; compartment model; global warming; multiplicative function; permafrost peatland; positive feedback; soil depths; soil moisture; soil temperature; temperature 10 degC; temperature 15 degC; temperature 20 degC; temperature 5 degC; time 20 day; Carbon dioxide; Global warming; Laboratories; Mineralization; Moisture measurement; Predictive models; Soil moisture; Temperature dependence; Temperature sensors; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163388
  • Filename
    5163388