Methane efflux from rice-based cropping systems under humid tropical conditions of eastern India

Adhya, T. K.; Mishra, Seema; Rath, Arun Kumar; Kollah, Bharati; Mohanty, SK; Ramakrishnan, B.; Rao, V. R.; Sethunathan, N.

doi:10.1016/s0167-8809(99)00144-9

Cited by 33 publications

(18 citation statements)

References 9 publications

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“…Furthermore, CH 4 produced after inundation may remain in the soil for sometime before escaping to the atmosphere [ Minoda et al , ; Kimura , ]. Ali et al [] report significant increases in CH 4 fluxes 35–49 days after inundation, while both Adhya et al [] and Datta et al [] report peak fluxes approximately 60–65 days after transplanting. The timing of this lag between initial inundation and water‐air exchange of CH 4 may explain the TRMM‐TMI delay we use in our AIME models.…”

Section: Discussionmentioning

confidence: 99%

Satellite‐derived methane emissions from inundation in Bangladesh

2017

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The uncertainty in methane (CH4) source strength of rice fields and wetlands is particularly high in South Asia CH4 budgets. We used satellite observations of CH4 column mixing ratios from Atmospheric Infrared Sounder (AIRS), Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY), and Greenhouse Gases Observing Satellite (GOSAT) to estimate the contribution of Bangladesh emissions to atmospheric CH4 concentrations. Using satellite‐derived inundation area as a proxy for source area, we developed a simple inverse advection model that estimates average annual CH4 surface fluxes to be 4, 9, and 19 mg CH4 m−2 h−1 in AIRS, SCIAMACHY, and GOSAT, respectively. Despite this variability, our flux estimates varied over a significantly narrower range than reported values for CH4 surface fluxes from a survey of 32 studies reporting ground‐based observations between 0 and 260 mg CH4 m−2 h−1. Upscaling our satellite‐derived surface flux estimates, we estimated total annual CH4 emissions for Bangladesh to be 1.3 ± 3.2, 1.8 ± 2.0, 3.1 ± 1.6 Tg yr−1, depending on the satellite. Our estimates of total emissions are in line with the median of total emission values for Bangladesh reported in earlier studies.

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Section: Discussionmentioning

confidence: 99%

Satellite‐derived methane emissions from inundation in Bangladesh

2017

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“…This is higher than the IPCC (1996) default value of CH 4 emission; 8.3 mg CH 4 m -2 h -1 from irrigated rice fields for Myanmar. Lowland-upland rotation usually results in low CH 4 emissions; such as 1.4 mg CH 4 m -2 h -1 averaging over the rice growing season in rice-wheat rotation (Zou et al 2004) or an average CH 4 emission during rice growing season of 3.4 mg CH 4 m -2 h -1 after upland crops such as mustard, chickpea or blackgram (Adhya et al 2000). The range of cumulative seasonal CH 4 emissions in this study was 21.2 to 66.4 g CH 4 m -2 (Table 2).…”

Section: Discussionmentioning

confidence: 99%

Within field spatial variation in methane emissions from lowland rice in Myanmar

Win

Bellingrath-Kimura

2015

SpringerPlus

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An assessment of within field spatial variations in grain yield and methane (CH4) emission was conducted in lowland rice fields of Myanmar. Two successive rice fields (1st field and 2nd field) were divided into fertilized and non-fertilized parts and CH4 measurements were conducted at the inlet, middle and outlet positions of each field. The results showed that CH4 emissions at non-fertilized parts were higher than those at fertilized part in both rice fields. The average CH4 emissions ranged from 8.7 to 26.6 mg m-2 h-1 in all positions in both rice fields. The spatial variation in CH4 emission among the positions was high in both rice fields with the highest emissions in the outlet of the 1st field and the inlet of the 2nd field. The CH4 emissions at these two positions showed 2 - 2.5 times higher than those at other positions in both rice fields. Stepwise regression analysis indicates that soil total carbon content is the primary factor for CH4 emission. The average CH4 emissions during rice growing season were 13.5 mg m-2 h-1 for the 1st field and 15.7 mg m-2 h-1 for the 2nd field. Spearman rank order correlation analysis showed that CH4 emission was significantly and positively correlated with soil temperature, surface water depth and negatively correlated with soil redox potential. The result indicated that high within field spatial variation in CH4 emissions required different site specific management practices to mitigate CH4 emissions in lowland paddy rice soil.

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“…CF-R field started to emit CH4 at the reproductive stage (57 DAT), and the CH4 emission at that time was 1/7th to 1/12th of the other fields receiving rice straw in this study, even though CF-R was under continuously flooded conditions. This may be attributed to the distinct variations in their residue-decomposition characteristics [29,30] and rotational effect. Soybean cultivation may have an effect on CH4 emissions in paddy fields.…”

Section: Discussionmentioning

confidence: 99%

“…The lignin level in soybean stover (11.9%) is higher than in rice straw (7.3%) [33], and high lignin content slows the decomposition of organic matter [34]. Moreover, growing an upland crop in rotation with flooded rice can cause sufficient aeration of the soil to increase Eh periodically [30], which, in turn, may reduce CH4 emissions.…”

Section: Discussionmentioning

confidence: 99%