Determination of methane and carbon dioxide fluxes during the rice maturity period in Taiwan by combining profile and eddy covariance measurements

Tseng, Kuo-Hsin; Tsai, Jichiang; Alagesan, A.; Tsuang, Ben‐Jei; Yao, Ming-Hwi; Kuo, Pei-Hsuan

doi:10.1016/j.agrformet.2010.04.007

Cited by 41 publications

(10 citation statements)

References 43 publications

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“…Mean eddy covariance‐measured F CH4 was on the order of 0.024 g C‐CH 4 ·m −2 ·day −1 during the November–December 2013 wet season measurement period. These values are of similar magnitude to eddy covariance F CH4 measurements from rice agroecosystems in the Philippines and Taiwan (~0.018 g C‐CH 4 ·m −2 ·day −1 , Alberto et al, ; Tseng et al, ; Table ) measured across an annual period and from boreal fens in Canada (measured during the growing season) and annual measurements from Finland (~0.019–0.026 g C‐CH 4 ·m −2 ·day −1 , Long et al, ; Rinne et al, ). Results demonstrate that the tropical peat rainforest study ecosystem during the wet season is near the mode of F CH4 from other eddy covariance studies from global ecosystems, which ranged from 0.0025 g C‐CH 4 ·m −2 ·day −1 in a pine plantation (Smeets et al, ) to 0.14 g C‐CH 4 ·m −2 ·day −1 in a freshwater marsh (Chu et al, ; Table ), noting that not all observations, including ours, encompassed an entire year of quasi‐continuous eddy covariance measurements.…”

Section: Discussionsupporting

confidence: 69%

Eddy Covariance Measurements of Methane Flux at a Tropical Peat Forest in Sarawak, Malaysian Borneo

Tang

Stoy

Hirata

et al. 2018

Geophysical Research Letters

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Tropical biogenic sources are a likely cause of the recent increase in global atmospheric methane concentration. To improve our understanding of tropical methane sources, we used the eddy covariance technique to measure CH 4 flux (F CH4 ) between a tropical peat forest ecosystem and the atmosphere in Malaysian Borneo over a 2-month period during the wet season. Mean daily F CH4 during the measurement period, on the order of 0.024 g C-CH 4 ·m À2 ·day À1 , was similar to eddy covariance F CH4 measurements from tropical rice agroecosystems and boreal fen ecosystems. A linear modeling analysis demonstrated that air temperature (T air ) was critical for modeling F CH4 before the water table breached the surface and that water table alone explained some 20% of observed F CH4 variability once standing water emerged. Future research should measure F CH4 on an annual basis from multiple tropical ecosystems to better constrain tropical biogenic methane sources.Plain Language Summary Methane (CH 4 ) is the third most potent greenhouse gas, and its reduction is seen as an effective method for meeting global temperature targets, but the global growth rate of atmospheric CH 4 concentration has risen to 10.3 ± 2.1 ppb/year from 2014 to 2016 after a period of relative stagnation from 2000 to 2006. Recent research has pointed to tropical biogenic sources as a likely cause. However, no studies to our knowledge have measured whole-ecosystem CH 4 flux (F CH4 ) from a tropical peat forested wetland to date despite the importance of tropical wetlands to global CH 4 budget. To improve our understanding of tropical methane sources, we measured F CH4 between a tropical peat forest ecosystem in Malaysian Borneo and the atmosphere over a 2-month period during the dry to wet season transition. Mean daily F CH4 during the measurement period, on the order of 0.024 g C-CH 4 ·m À2 ·day À1 , are similar to eddy covariance measurements from tropical rice agroecosystems and boreal fen ecosystems. A linear modeling analysis demonstrated the important role of air temperature (T air ) during unsaturated conditions and water table during saturated conditions and further emphasizes the critical role of simulating temperature and water table accurately for accurate modeled ecosystem scale F CH4 estimates.

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Section: Discussionsupporting

confidence: 69%

Eddy Covariance Measurements of Methane Flux at a Tropical Peat Forest in Sarawak, Malaysian Borneo

Tang

Stoy

Hirata

et al. 2018

Geophysical Research Letters

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“…Some other studies have already shown that there is diurnal variation on the fluxes in rice paddy fields, with higher fluxes observed during the afternoon (Simpson et al, 1995;Satpathy et al, 1997;Miyata et al, 2000;Tseng et al, 2010). Simpson et al (1995) measured similar daily peak emissions as in our experiment (8 µg CH 4 m −2 s −1 or 0.5 µmol m −2 s −1 , see Fig.…”

Section: Diurnal Variation Of Ch 4 Fluxessupporting

confidence: 71%

Seasonal trends and environmental controls of methane emissions in a rice paddy field in Northern Italy

et al. 2011

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Abstract. Rice paddy fields are one of the greatest anthropogenic sources of methane (CH 4 ), the third most important greenhouse gas after water vapour and carbon dioxide. In agricultural fields, CH 4 is usually measured with the closed chamber technique, resulting in discontinuous series of measurements performed over a limited area, that generally do not provide sufficient information on the short-term variation of the fluxes. On the contrary, aerodynamic techniques have been rarely applied for the measurement of CH 4 fluxes in rice paddy fields. The eddy covariance (EC) technique provides integrated continuous measurements over a large area and may increase our understanding of the underlying processes and diurnal and seasonal pattern of CH 4 emissions in this ecosystem.For this purpose a Fast Methane Analyzer (Los Gatos Research Ltd.) was installed in a rice paddy field in the Po Valley (Northern Italy). Methane fluxes were measured during the rice growing season with both EC and manually operated closed chambers. Methane fluxes were strongly influenced by the height of the water table, with emissions peaking when it was above 10-12 cm. Soil temperature and the developmental stage of rice plants were also responsible of the seasonal variation on the fluxes. The measured EC fluxes showed a diurnal cycle in the emissions, which was more relevant during the vegetative period, and with CH 4 emissions being higher in the late evening, possibly associated with higher water temperature. The comparison between the two measurement techniques shows that greater fluxes are measured with the chambers, especially when higher fluxes are being produced, resulting in 30 % higher seasonal esCorrespondence to: A. Meijide (ana.meijide-orive@jrc.ec.europa.eu) timations with the chambers than with the EC (41.1 and 31.7 g CH 4 m −2 measured with chambers and EC respectively) and even greater differences are found if shorter periods with high chamber sampling frequency are compared. The differences may be a result of the combined effect of overestimation with the chambers and of the possible underestimation by the EC technique.

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“…CH 4 emissions from the Sanjiang site were larger than those from the Liaohe site. Peak CH 4 emission fluxes in the afternoons were consistent with data reported for other rice fields [24][25][26]. During the afternoon, the increase in temperature and solar radiation enhance plant respiration and transpiration.…”

Section: Discussionsupporting

confidence: 87%

Methane emissions from typical paddy fields in Liaohe Plain and Sanjiang Plain, Northeast China

Jia

Zhou

et al. 2019

Environ. Res. Commun.

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Methane is one of the most important greenhouse gases and is emitted from waterlogged rice regions. Eddy covariance was used to obtain long-term (2017-2018), high-frequency data for the CH 4 flux at typical rice paddy fields in Sanjiang Plain and Liaohe Plain. This study examines the CH 4 emission process, emission characteristics at different time scales and the intensity of different emission sources. The relationships between CH 4 emissions and temperature and photosynthetically active radiation were also analysed. CH 4 emissions from Sanjiang Plain and Liaohe Plain in 2017 were 26.77 and 16.17 g CH 4 m −2 year −1 , respectively. The CH 4 fluxes in 2017 and 2018 were similar; emissions were higher at the Sanjiang site in 2018. Peak CH 4 emissions (daily average: 0.127 μmol CH 4 m −2 s −1 ) corresponded to the tillering stage in Sanjiang Plain. CH 4 emissions peaks corresponding to the jointing-heading and mature stages at Liaohe Plain. Monthly CH 4 emissions were highest in July. The daily averaged flux was 0.065 μmol CH 4 m −2 s −1 during the growing season. The field-transplanting stage exhibited the highest CH 4 emissions. No CH 4 was emitted during the greening-tillering stages. Emissions increased again during the jointing-heading stages to 0.102 μmol CH 4 m −2 s −1 , and then decreased gradually. A significant linear correlation was observed between PAR and the methane flux in Liaohe Plain. CH 4 emissions in Sanjiang Plain were more sensitive to changes in temperature. The temperature coefficient value was highest from the sowing period to the green period. The CH 4 flux at Sanjiang Plain depended on the stage of rice growth, the temperature, the degree of irrigation and drainage, and the soil pH. In November (during the non-growing season) at Liaohe Plain, a slight negative flux (a weak CH 4 sink) was observed. CH 4 emissions were also found to be inhibited in the growing season by increased soil alkalinity.

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Determination of methane and carbon dioxide fluxes during the rice maturity period in Taiwan by combining profile and eddy covariance measurements

Cited by 41 publications

References 43 publications

Eddy Covariance Measurements of Methane Flux at a Tropical Peat Forest in Sarawak, Malaysian Borneo

Eddy Covariance Measurements of Methane Flux at a Tropical Peat Forest in Sarawak, Malaysian Borneo

Seasonal trends and environmental controls of methane emissions in a rice paddy field in Northern Italy

Methane emissions from typical paddy fields in Liaohe Plain and Sanjiang Plain, Northeast China

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