Methane emission from rice fields at Cuttack, India

Adhya, T. K.; Kollah, Bharati; Mohanty, SK; Ramakrishnan, B.; Rao, V. R.; Sethunathan, N.; Waßmann, Reiner

doi:10.1007/978-94-010-0898-3_9

Cited by 37 publications

(45 citation statements)

References 27 publications

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“…The CH 4 emission values simulated in this study are similar to that reported by Jain et al (2000) and Adhya et al (2000) for Indian rice fields. However, emissions were smaller (20-40 kg ha −1 ) compared to that reported from many other countries such as Philippines (100-150 kg ha −1 ) (Corton et al, 2000) and Japan (150-200 kg ha −1 ) (Yagi et al, 1996).…”

Section: Sensitivity Analysissupporting

confidence: 91%

“…However, application of more than 180 kg N ha −1 through urea increased N 2 O emission because larger fluxes of NH + 4 -N. Substituting 60 kg N ha −1 urea N with farmyard manure (FYM) reduced grain yield and N uptake by rice but increased GHG emissions as compared to application of 120 kg N ha −1 through urea alone. Addition of organic C through FYM was responsible for such increase in the GHG emissions (Adhya et al, 2000;Pathak et al, 2002).…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…of measurements all over India Matthews et al (2000c) 2.1 Using the MERES simulation model Gupta et al (2002) 5.0 Using CH 4 emission coefficients based on water regime and soil organic C Yan et al (2003) 5.9 Using the region specific emission factors IINC (2004) 4.1 Using the IPCC methodology and IPCC default CH 4 emission coefficients Bhatia et al (2004) 2.9 Using the IPCC methodology and measured CH 4 emission coefficients This study 1.5 Using the validated DNDC model and newly compiled soil, rice area and weather data base tically reduced CH 4 fluxes. The intermittent flooding approach has been applied in many Asian countries such as India (Jain et al, 2000;Adhya et al, 2000), Philippines (Corton et al, 2000), China , and Japan (Yagi et al, 1996) to reduce CH 4 emissions. With continuous flooding N 2 O emission ranged from 0.04 to 0.05 Tg N yr −1 (Table 4) The simulated spatial distribution of GHG emissions from Indian rice fields and their GWP under continuous flooding condition is shown in Fig.…”

Section: Scaling Up Ghg Emissionmentioning

confidence: 99%

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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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Section: Sensitivity Analysissupporting

confidence: 91%

Section: Sensitivity Analysismentioning

confidence: 99%

Section: Scaling Up Ghg Emissionmentioning

confidence: 99%

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

2005

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“…Decomposition of organic materials offers the predominant source of methanogenic substrates, particularly in the early stage of rice development. Adhya et al [2000] found that application of Sesbania and Azolla increased CH 4 by 214% and 55% compared with the application of pure urea. In the present study, CH 4 was increased by a factor of 1.6 and 3.7 due to wheat straw incorporation, dependent on the water regime in 2000.…”

Section: Effect Of Crop Residue Incorporation On Ch 4 and N 2 O Emissmentioning

confidence: 95%

A 3‐year field measurement of methane and nitrous oxide emissions from rice paddies in China: Effects of water regime, crop residue, and fertilizer application

Zou

Huang

Jiang

et al. 2005

Global Biogeochemical Cycles

657

441

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[1] A 3-year field experiment was conducted to simultaneously measure methane (CH 4 ) and nitrous oxide (N 2 O) emissions from rice paddies under various agricultural managements including water regime, crop residue incorporation, and synthetic fertilizer application. In contrast with continuous flooding, midseason drainage incurred a drop in CH 4 fluxes while triggering substantial N 2 O emission. Moreover, N 2 O emissions after midseason drainage depended strongly on whether or not fields were waterlogged due to intermittent irrigation. Urea application tended to reduce CH 4 emissions but significantly increased N 2 O emissions. Under a water regime of flooding-midseason drainagereflooding-moist intermittent irrigation but without water logging (F-D-F-M), both wheat straw and rapeseed cake incorporation increased CH 4 emissions by 252%, and rapeseed cake increased N 2 O by 17% while wheat straw

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“…Flooded rice fields emit CH 4 due to a methanogenesis process that occurs in anaerobic conditions, during which organic matter (OM) undergoes decomposition [4]. Factors affecting CH 4 emissions, such as weather conditions [5], the water regime [6], soil properties [7], land practices, i.e., irrigation [8], organic amendments [9], fertilization [10], and rice varieties [11], have been considered. Most N 2 O emissions occur from nitrogen (N) fertilizer application [12], for which the N application rate is the main driver of N 2 O production for either wet or dry soil [13].…”

Section: Introductionmentioning

confidence: 99%

Practices for Reducing Greenhouse Gas Emissions from Rice Production in Northeast Thailand

Arunrat

Pumijumnong

2017

Agriculture

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Land management practices for rice productivity and carbon storage have been a key focus of research leading to opportunities for substantial greenhouse gas (GHG) mitigation. The effects of land management practices on global warming potential (GWP) and greenhouse gas intensity (GHGI) from rice production within the farm gate were investigated. For the 13 study sites, soil samples were collected by the Land Development Department in 2004. In 2014, at these same sites, soil samples were collected again to estimate the soil organic carbon sequestration rate (SOCSR) from 2004 to 2014. Surveys were conducted at each sampling site to record the rice yield and management practices. The carbon dioxide (CO 2 ), methane (CH 4 ), and nitrous oxide (N 2 O) emissions, Net GWP, and GHGI associated with the management practices were calculated. Mean rice yield and SOCSR were 3307 kg·ha −1 ·year −1 and 1173 kg·C·ha −1 ·year −1 , respectively. The net GWP varied across sites, from 819 to 5170 kg·CO 2 eq·ha −1 ·year −1 , with an average value of 3090 kg·CO 2 eq·ha −1 ·year −1 . GHGI ranged from 0.31 to 1.68 kg·CO 2 eq·kg −1 yield, with an average value of 0.97 kg·CO 2 eq·kg −1 yield. Our findings revealed that the amount of potassium (potash, K 2 O) fertilizer application rate is the most significant factor explaining rice yield and SOCSR. The burning of rice residues in the field was the main factor determining GHGI in this area. An effective way to reduce GHG emissions and contribute to sustainable rice production for food security with low GHGI and high productivity is avoiding the burning of rice residues.

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Methane emission from rice fields at Cuttack, India

Cited by 37 publications

References 27 publications

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

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

A 3‐year field measurement of methane and nitrous oxide emissions from rice paddies in China: Effects of water regime, crop residue, and fertilizer application

Practices for Reducing Greenhouse Gas Emissions from Rice Production in Northeast Thailand

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