Dynamics and regulation of CH<sub>4</sub>fluxes in a poplar plantation on a floodplain

高升华,; 张旭东,; 汤玉喜,; 陈吉泉,; 唐洁,; 孙启祥,; 唐学君,

doi:10.5846/stxb201503220546

Cited by 2 publications

(1 citation statement)

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“…In this study, we first applied the linear interpolation method to fill the small gaps (<2.5 h), and then used a Gliding-Window Mean Diurnal Variations (MDV) method to fill the large gaps (Falge et al, 2001). Our reason for using the MDV to fill the gaps of F CH4 is that the mean diurnal variation of F CH4 exhibited some similar pattern in some months and years, and the gaps did not always randomly distribute in a day (Gao et al, 2015). The window size was set to 7, 15, and 30 days, successively.…”

Section: Gap-filling and Uncertainty Assessmentmentioning

confidence: 99%

Ecosystem carbon (CO2 and CH4) fluxes of a Populus dettoides plantation in subtropical China during and post clear-cutting

Shenghua

Chen

Tang

et al. 2015

Forest Ecology and Management

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a b s t r a c tPoplar plantations have widely spread around the world due to its high productivity and adaptability. Clear-cutting is the primary harvesting method for poplar plantation management in southern China. However, the effect of harvesting on ecosystem carbon fluxes limits our ability to estimate its carbon sequestration. A consecutive, three-year observation on ecosystem CO 2 and CH 4 flux (F CO2 and F CH4 ) of a Populus dettoides plantation on the floodplain of Yangtze River was made prior and post to the clearcutting using an eddy-covariance system. We found that clear-cutting turned the ecosystem from a strong carbon sink to a mediate carbon source only in several months, July to next January, after the harvest. The ecosystem turned to a net carbon sink at the beginning of the first growing season following clear-cutting due to the large productivity of understory vegetation in this region. The annual carbon budget was À424.3 ± 52.5 g-C m À2 (95% confidence interval) in the harvesting year, with À53.6 ± 22.8 g-C m À2 the first year and À290.7 ± 34.2 g-C m À2 the second year after clear-cutting. Clear-cutting turned the ecosystem from a net CH 4 sink to a net CH 4 source after the third month, but during the three years the CH 4 emission only balanced out a very small portion (0.3%) of F CO2 . In noninundation periods, F CH4 varied from À0.01 to 0.24 mmol m À2 d À1 , with a mean (±SD) of 0.11 ± 0.08 mmol m À2 d À1 , while it ranged from 0.33 to 4.39 mmol m À2 d À1 during inundation, with a mean (±SD) of 2.17 ± 1.16 mmol m À2 d À1 . Daily and weekly F CH4 during non-inundation period were highly correlated with ground water table, soil moisture, and friction velocity, while F CH4 during inundation depended on inundation depth.

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Section: Gap-filling and Uncertainty Assessmentmentioning

confidence: 99%

Ecosystem carbon (CO2 and CH4) fluxes of a Populus dettoides plantation in subtropical China during and post clear-cutting

Shenghua

Chen

Tang

et al. 2015

Forest Ecology and Management

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Methane dynamics from a mixed plantation of north China: Observation using closed-path eddy covariance method

Yuan

Huang²,

Zhang³

et al. 2023

Front. Plant Sci.

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Although an important greenhouse gas, methane flux in hilly forest ecosystems remains unclear. By using closed-path eddy covariance systems, methane flux was measured continuously from 2017 to 2019 in a mixed plantation in the Xiaolangdi area of the Yellow River in North China. The methane flux footprint and its diurnal and monthly variations were analysed, and its characteristics on rainy days are discussed. The results showed that: (a) the observation data were reliable with good spatial representation (b) The methane flux in the mixed plantation ecosystem had obvious diurnal and seasonal variations: the monthly average diurnal variation of the methane flux had a single-peak; the methane flux value was source in the daytime and sink at night. The daily mean maximum value of methane flux in growing season was lower than that in non-growing season with the maximum value appearing in March, and the minimum value in October. (c) The forest is an atmospheric CH4 source with the annual emission in 2017 of (3.31 g C·m-2·year -1) >2019 (2.94 g C·m-2·year-1) >2018 (2.81 g C·m-2·year -1), and the main influencing factor was precipitation. Rainfall affected CH4 flux with a lag period of approximately three days. Rainfall also changed the balance of CH4 flux between sink or source according to precipitation intensity and frequency.

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Dynamics and regulation of CH₄fluxes in a poplar plantation on a floodplain

Cited by 2 publications

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Ecosystem carbon (CO2 and CH4) fluxes of a Populus dettoides plantation in subtropical China during and post clear-cutting

Ecosystem carbon (CO2 and CH4) fluxes of a Populus dettoides plantation in subtropical China during and post clear-cutting

Methane dynamics from a mixed plantation of north China: Observation using closed-path eddy covariance method

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Dynamics and regulation of CH4fluxes in a poplar plantation on a floodplain

Cited by 2 publications

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Ecosystem carbon (CO2 and CH4) fluxes of a Populus dettoides plantation in subtropical China during and post clear-cutting

Ecosystem carbon (CO2 and CH4) fluxes of a Populus dettoides plantation in subtropical China during and post clear-cutting

Methane dynamics from a mixed plantation of north China: Observation using closed-path eddy covariance method

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Dynamics and regulation of CH₄fluxes in a poplar plantation on a floodplain