Effect of soil temperature on methane emission from paddy fields

Parashar, D. C.; Gupta, Prabhat K.; Rai, J.; Sharma, Rahul; Singh, Nahar

doi:10.1016/0045-6535(93)90425-5

Cited by 101 publications

(54 citation statements)

References 4 publications

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“…Mean seasonal CH 4 emission rates reported in Butterbach-Bahl et al (1997) were 11.4 mg CH 4 m −2 h −1 while mean daytime fluxes in Werle and Kormann (2001) were around 0.25 µmol m −2 s −1 (14.5 mg CH 4 m −2 h −1 ), both similar to the mean CH 4 fluxes observed in our experiment during the rice growing season (11.36 mg CH 4 m −2 h −1 ). Our results are also comparable with studies in other rice paddy fields in different parts of the globe (Simpson et al, 1995), ranging from 0.36 to 27.36 mg CH 4 m −2 h −1 in India (Parashar et al, 1991;Mitra, 1992) to 28.6 mg CH 4 m −2 h −1 in China (Wang et al, 1990).…”

Section: Seasonal Variations Of Ch 4 Fluxes From the Rice Fieldsupporting

confidence: 80%

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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Section: Seasonal Variations Of Ch 4 Fluxes From the Rice Fieldsupporting

confidence: 80%

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

et al. 2011

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“…Earlier several attempts have been made to estimate CH 4 emission from Indian rice fields (Mitra, 1991;Parashar et al, 1991;1996;Matthews et al, 2000;Yan et al, 2003;Bhatia et al, 2004). However, only a few studies (Cao et al, 1996;Matthews et al, 2000c) have attempted to calculate detailed regional CH 4 emissions using simulation modelling.…”

Section: Scaling Up Ghg Emissionmentioning

confidence: 99%

“…Ahuja (1990) gave an estimate of 37.8 Tg yr −1 CH 4 emission from Indian paddies, which was based on emission data of European and American paddy fields and extrapolated to the Indian region. Later on a value of 3.0 Tg yr −1 was estimated on the basis of measurements done up to 1990 at various rice growing regions in the country (Mitra, 1991;Parashar et al, 1991). Parashar et al (1996) further revised the budget to be 4.0 Tg yr −1 with a range between 2.7 to 5.4 Tg yr −1 .…”

Section: Scaling Up Ghg Emissionmentioning

confidence: 99%

Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model

2005

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Abstract. The Denitrification and Decomposition (DNDC) model was evaluated for its ability to simulate methane (CH 4 ), nitrous oxide (N 2 O) and carbon dioxide (CO 2 ) emissions from Indian rice fields with various management practices. The model was calibrated and validated for field experiments in New Delhi, India. The observed yield, N uptake and greenhouse gas (GHG) emissions were in good agreement with the values predicted by the model. The model was then applied for estimation of GHG emissions from rice fields in India using a newly compiled soil/climate/land use database. Continuous flooding of rice fields (42.25 million ha) resulted in annual net emissions of 1.07-1.10, 0.04-0.05 and 21.16-60.96 Tg of CH 4 -C, N 2 O-N and CO 2 -C, respectively, with a cumulated global warming potential (GWP) of 130.93-272.83 Tg CO 2 equivalent. Intermittent flooding of rice fields reduced annual net emissions to 0.12-0.13 Tg CH 4 -C and 16.66-48.80 Tg CO 2 -C while N 2 O emission increased to 0.05-0.06 Tg N 2 O-N. The GWP, however, reduced to 91.73-211.80 Tg CO 2 equivalent. The study suggested that the model could be applied for estimating the GHG emissions and the influences of agronomic management, soil and climatic parameters on the GHG emissions from rice fields in India.

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“…Field water level, soil temperature, soil organic carbon content [13] and soil pH (Systronics Griph made 'D' pH meter 327) were determined during each methane sampling period. Methane flux (F) and seasonal integrated flux (E sif ) was calculated from the temporal increase in methane concentration inside the perspex box using the equation [27].…”

Section: Methane Emission Measurementmentioning

confidence: 99%

Methane Emission From Two Different Rice Ecosystems ( Ahu and Sali ) at Lower Brahmaputra Valley Zone of North East India

Gogoi¹

2008

Appl Ecol Env Res

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Abstract.Monocropping of rice is practiced in Assam (situated at north east part of India) throughout the year in different agro-ecosystems (upland and lowland) primarily under rainfed conditions. The estimation of methane emission has been realized investigating high yielding rice varieties viz. Ranjit and Mahsuri, grown under two different agro-ecosystems at Lower Brahmaputra Valley Zone of Assam with sandy to sandy loam type of soil. Variety 'Ranjit' grown at monsoon (Sali) rice ecosystem at lowland rainfed condition showed higher seasonal integrated methane flux value compared to variety 'Mahsuri' grown at pre monsoon (Ahu) rice ecosystem. Both varieties showed two methane peaks, one at the active tillering stage and the second at the reproductive stage of the crop. The observed variation in methane emission peaks are contributed mainly by physiological characteristics of the rice plant such as leaf numbers, tiller numbers, plant height, root shoot biomass and leaf area index. Statistical analysis of these parameters showed a positive correlation with methane emission. These physiological parameters are in turn governed by plant genotypes and environment i.e., the field water availability and climatological factors (rainfall and temperature) during the growing season. While comparing the two ecosystems it was found that methane emission is significantly less from upland rainfed rice ecosystem and this ecosystem can be considered a suitable option for biological mitigation of methane from rice paddies.

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Effect of soil temperature on methane emission from paddy fields

Cited by 101 publications

References 4 publications

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

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

Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model

Methane Emission From Two Different Rice Ecosystems ( Ahu and Sali ) at Lower Brahmaputra Valley Zone of North East India

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