Journal of Resources and Ecology >
Modelling Soil Greenhouse Gas Fluxes from a Broad-leaved Korean Pine Forest in Changbai Mountain: Forest-DNDC Model Validation
Received date: 2018-12-05
Accepted date: 2019-01-24
Online published: 2019-03-30
Supported by
National Key Research and Development Program of China (2017YFC0503801)
National Natural Science Foundation of China (31570446).
Copyright
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
YE Shu , GUO Chuying , HAN Jiayin , ZHANG Leiming , DAI Guanhua , WEN Xuefa , YU Guirui . Modelling Soil Greenhouse Gas Fluxes from a Broad-leaved Korean Pine Forest in Changbai Mountain: Forest-DNDC Model Validation[J]. Journal of Resources and Ecology, 2019 , 10(2) : 127 -136 . DOI: 10.5814/j.issn.1674-764X.2019.02.003
Fig. 1 Deployment and operation of the automatic dynamic chamber observation system at the temperate broad-leaved Korean pine forest in Changbai Mountain (CBF) |
Table 1 Definition and source of the main parameters for Forest-DNDC |
Parameter | Unit | Value | Definition | Source | |
---|---|---|---|---|---|
Vegetation | |||||
Upper-story age | year | 140 | Age of upper-story trees | Han et al., 2012 | |
Upper-story type | unitless | pine | Dominant type of upper-story trees. | CNREN | |
Initial leaf N content % | % | 1.4 | Initial N concentration in foliage, % by weight | Sun et al., 2016 | |
AmaxA, n mole CO2 g-1 s-1 | unitless | 9.3 | Coefficients for photosynthesis curve | Aber et al., 1996 | |
AmaxB | unitless | 21.5 | Coefficients for photosynthesis curve | Aber et al., 1996 | |
Amax fraction | unitless | 0.76 | Daily Amax as a fraction of instantaneous Amax | Aber et al., 1996 | |
Light half satur constant | µmole m-2 second-1 | 200 | Half saturation light intensity | Aber et al., 1996 | |
Respiration Q10 | unitless | 2 | Effect of temperature on respiration | Aber et al., 1996 | |
DVPD 1 and DVPD2 | unitless | 0.05 2 | Coefficients for calculating vapor pressure deficit | Aber et al., 1996 | |
Leaf start TDD | unitless | 600 | Accumulative thermal degree days for starting leaf growth | Amina et al., 2013 | |
Leaf end TDD | unitless | 1744 | Accumulative thermal degree days for ceasing leaf growth | Amina et al., 2013 | |
Senesc start day | unitless | 264 | Starting Julian day for senescence | Han et al., 2012 | |
Leaf C: N | unitless | 31.5 | C: N ratio in foliage | Han et al., 2012 | |
Wood C: N | unitless | 200 | C: N ratio in woody biomass | Aber et al., 1996 | |
Leaf retention | Year | 2.25 | Time span of leaf retention | Aber et al., 1996 | |
C reserve fraction | unitless | 0.75 | Fraction of available C for plant reserve. | Aber et al., 1996 | |
C fraction of dry matter | unitless | 0.45 | C/dry matter ratio | Aber et al., 1996 | |
Specific leaf weight | g m-2 | 200 | Specific leaf weight | Aber et al., 1996 | |
Soil | Forest floor | Mineral soil | |||
Type | unitless | Moder | Sandy loam | Defined based on quality of the organic matter, proportions of sand, silt and clay in a soil | Han et al., 2012 |
Thickness | M | 0.042 | 0.5 | Thickness of forest floor or mineral soil | Han et al., 2012 |
pH | unitless | 4.8 | 4.8 | Soil acidity | Han et al., 2012 |
SOC | kg C ha-1 | 5400 | 24472 | Soil organic carbon content in the entire organic or mineral profile. The unit is kg C/ha | Han et al., 2012 |
Bulk Density | g cm-3 | 0.5 | 1.53 | Soil bulk density. The unit is g soil per cubic cm | Han et al., 2012 |
Clay | unitless | 0.02 | 0.49 | Clay fraction by weight cm per minute, d≤0.005mm | Han et al., 2012 |
Porosity | unitless | 0.68 | 0.62 | Pore volumetric fraction of the soil | Han et al., 2012 |
Field Capacity | unitless | 0.7 | 0.55 | The maximum water-filled fraction of total porosity in a freely drained soil | Han et al., 2012 |
Wilting Point | unitless | 0.2 | 0.11 | The maximum water-filled fraction of total porosity at which the plant starts wilting permanently | Han et al., 2012 |
Table 2 Observed and model GHG emission and model performance in 2015 |
GHG | N | Observed emission | Modeled emission | Model performance | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Mean | Max | Min | Mean | Max | Min | MA | ${{r}^{2}}$ | $r_{eff}^{2}$ | $RMSP{{E}_{n}}$ | ||
CH4(Kg C ha-1 d-1) | 276 | -0.008 | 0.000 | -0.023 | -0.004 | 0.000 | -0.010 | 51 | 0.260 | <0 | 0.818 |
CO2(Kg C ha-1 d-1) | 279 | 7.186 | 46.270 | -3.871 | 7.439 | 24.5 | 0.68 | 103.5 | 0.633 | 0.928 | 0.236 |
N2O(g N ha-1 d-1) | 289 | 1.150 | 33.586 | -7.916 | 0.439 | 4.9 | 0.01 | 38 | 0.013 | <0 | 1.039 |
Fig. 2 Precipitation, air temperature (a), comparison of observed (black line) and Forest-DNDC model simulations (grey line) of snowpack (b), daily average soil temperature (c) and soil moisture at a soil depth of 0.1 m (d) in 2016 at Changbai mountain. |
Table 3 Observed and modeled GHG emission and model performance in 2016 |
GHG | N | Observed emission | Modeled emission | Model performance | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Mean | Max | Min | Mean | Max | Min | MA | ${{r}^{2}}$ | $r_{eff}^{2}$ | $RMSP{{E}_{n}}$ | ||
CH4(kg C ha-1 d-1) | 329 | -0.005 | 0.000 | -0.017 | -0.005 | 0.000 | -0.020 | 99.3 | 0.021 | 0.100 | 0.928 |
CO2(kg C ha-1 d-1) | 327 | 14.853 | 46.270 | 0.017 | 10.400 | 26.340 | 2.680 | 70 | 0.021 | 0.604 | 0.277 |
N2O(g N ha-1 d-1) | 343 | 1.854 | 23.469 | -2.048 | 1.185 | 9.690 | 0.010 | 63.9 | 0.030 | < 0 | 1.159 |
Fig. 3 Comparison of observed (black line) and Forest-DNDC model simulations (grey line) of daily average CH4 flux (a), CO2 flux (b) and N2O flux (c), the areas shaded in gray indicate periods of each precipitation >10mm, in 2016 at Changbai mountain. |
Fig. 4 Comparison of observed (black) and Forest-DNDC model simulations (grey) of accumulation CH4 (a), CO2 (b) and N2O (c) flux, in 2016 at the Changbai mountain. |
The authors have declared that no competing interests exist.
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