Journal of Resources and Ecology ›› 2019, Vol. 10 ›› Issue (2): 127-136.DOI: 10.5814/j.issn.1674-764X.2019.02.003

• Forest Ecosystem • Previous Articles     Next Articles

Modelling Soil Greenhouse Gas Fluxes from a Broad-leaved Korean Pine Forest in Changbai Mountain: Forest-DNDC Model Validation

YE Shu1,2, GUO Chuying1,2, HAN Jiayin1,2, ZHANG Leiming1,2,*(), DAI Guanhua3, WEN Xuefa1,2, YU Guirui1,2   

  1. 1. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
    3. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
  • Received:2018-12-05 Accepted:2019-01-24 Online:2019-03-30 Published:2019-03-30
  • Contact: ZHANG Leiming
  • Supported by:
    National Key Research and Development Program of China (2017YFC0503801);National Natural Science Foundation of China (31570446).


Fluctuations in soil greenhouse gas (GHG) are an important part of the terrestrial ecosystem carbon-nitrogen cycle, but uncertainties remain about the dynamic change and budget assessment of soil GHG flux. Using high frequency and consecutive soil GHG fluxes measured with an automatic dynamic chamber system, we tested the applicability of the current Forest-DNDC model in simulating soil CH4, CO2 and N2O fluxes in a temperate broad-leaved Korean pine forest at Changbai Mountain. The results showed that the Forest-DNDC model reproduced general patterns of environmental variables, however, simulated seasonal variation in soil temperature, snow melt processes and soil moisture partly deviated from measured variables, especially during the non-growing season. The modeled CH4 flux was close to the field measurement and co-varied mainly with soil temperature and snowpack. The modeled soil CO2 flux had the same seasonal trend to that of the observation along with variation in temperature, however, simulated CO2 flux in the growing season was underestimated. The modeled N2O flux attained a peak in summer due to the influence of temperature, which was apparently different from the observed peak of N2O flux in the freeze-thaw period. Meanwhile, both modeled CO2 flux and N2O flux were dampened by rainfall events. Apart from consistent estimation of annual soil CH4 flux, the annual accumulation of CO2 and N2O was underestimated. It is still necessary to further optimize model parameters and processes using long-term high-frequency observation data, especially transference of heat and water in soil and GHG producing mechanism. Continues work will improve modeling, ecosystem carbon-nitrogen budget assessment and estimation of soil GHGs flux from the site to the region.

Key words: soil GHGs flux, dynamic chamber method, forest-DNDC, temperate forest