Modelling greenhouse gas emissions and mitigation potentials in fertilized paddy rice fields in Bangladesh

Khadiza Begum (Corresponding Author), Matthias Kuhnert, Jagadeesh B. Yeluripati, Stephen Ogle, William J. Parton, Stephen A. Williams, Genxing Pan, Kun Cheng, Muhammad A. Ali, Pete Smith

Research output: Contribution to journalArticle

Abstract

Emissions of greenhouse gases (GHG) from paddy rice are significant, so reducing these emissions has significant potential for climate change mitigation. We investigated alternate wetting and drying (AWD) as part of an integrated management approach to enhance mitigation, together with combinations of mineral nitrogen (N), reduced tillage, a suitable combination of plant residues and well decomposed manure. To quantify GHG emissions, and the potential for mitigation without yield decline, a process-based model, DayCent, was used to simulate methane (CH4) and nitrous oxide (N2O) emissions from paddy rice (Oryza sativa L.) in Bangladesh. The four test sites selected were amended with mineral N fertilizer or an organic amendment (rice straw). A good agreement (p < 0.05) was observed between model simulated and measured daily CH4 flux at most of these test sites with no significant bias. The seasonal CH4 emission from a site receiving mineral N fertilizer at a rate of 110 kg N ha-1 was predicted by the model to be 210 and 150 kg ha-1 for the water management scenarios of continuous flood (CF) and AWD, respectively. These values compare well with estimates of CH4 emissions using Intergovernmental Panel on Climate Change tier 1 methods for the different water regimes. Our model results suggest emission factors for N2O of 0.4% and 0.6% of applied fertilizer under CF and AWD water regimes, respectively. Based on modelling studies, AWD was found to be an important strategy not only with respect to reducing GHG emissions, but also in terms of cost effectiveness. We also found that integrated management is a promising option for farmers and policy makers interested in either yield increase, GHG mitigation or both. Yield scaled emissions intensity under AWD was found to be about 24% lower than under CF, followed by integrated management.
Original languageEnglish
Pages (from-to)206-215
Number of pages10
JournalGeoderma
Volume341
Early online date1 Feb 2019
DOIs
Publication statusPublished - 1 May 2019

Fingerprint

greenhouse gas emissions
Bangladesh
paddy field
paddies
greenhouse gas
mitigation
drying
methane
rice
wetting
nitrous oxide
emissions factor
modeling
mineral fertilizers
nitrogen fertilizers
climate change
fertilizer
reduced tillage
plant residues
rice straw

Keywords

  • greenhouse gas
  • paddy soil
  • water management
  • mitigation potential
  • Bangladesh
  • Water management
  • Greenhouse gas
  • Mitigation potential
  • Paddy soil
  • agriculture
  • organic-matter
  • climate-change
  • nitrous-oxide emissions
  • N2O
  • methane
  • soil
  • systems
  • daycent
  • ecosystem
  • METHANE
  • SOIL
  • AGRICULTURE
  • ORGANIC-MATTER
  • NITROUS-OXIDE EMISSIONS
  • CLIMATE-CHANGE
  • SYSTEMS
  • DAYCENT
  • ECOSYSTEM

ASJC Scopus subject areas

  • Soil Science

Cite this

Modelling greenhouse gas emissions and mitigation potentials in fertilized paddy rice fields in Bangladesh. / Begum, Khadiza (Corresponding Author); Kuhnert, Matthias; Yeluripati, Jagadeesh B.; Ogle, Stephen; Parton, William J.; Williams, Stephen A.; Pan, Genxing; Cheng, Kun; Ali, Muhammad A.; Smith, Pete.

In: Geoderma, Vol. 341, 01.05.2019, p. 206-215.

Research output: Contribution to journalArticle

Begum, Khadiza ; Kuhnert, Matthias ; Yeluripati, Jagadeesh B. ; Ogle, Stephen ; Parton, William J. ; Williams, Stephen A. ; Pan, Genxing ; Cheng, Kun ; Ali, Muhammad A. ; Smith, Pete. / Modelling greenhouse gas emissions and mitigation potentials in fertilized paddy rice fields in Bangladesh. In: Geoderma. 2019 ; Vol. 341. pp. 206-215.
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AU - Pan, Genxing

AU - Cheng, Kun

AU - Ali, Muhammad A.

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N1 - The work was supported by Bangabandhu Fellowship on Science and ICT project, Ministry of Science and Technology, People’s Republic of Bangladesh. We are grateful to the model developers at the Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado, United States of America, for sending us the new methane version of the DayCent model.

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N2 - Emissions of greenhouse gases (GHG) from paddy rice are significant, so reducing these emissions has significant potential for climate change mitigation. We investigated alternate wetting and drying (AWD) as part of an integrated management approach to enhance mitigation, together with combinations of mineral nitrogen (N), reduced tillage, a suitable combination of plant residues and well decomposed manure. To quantify GHG emissions, and the potential for mitigation without yield decline, a process-based model, DayCent, was used to simulate methane (CH4) and nitrous oxide (N2O) emissions from paddy rice (Oryza sativa L.) in Bangladesh. The four test sites selected were amended with mineral N fertilizer or an organic amendment (rice straw). A good agreement (p < 0.05) was observed between model simulated and measured daily CH4 flux at most of these test sites with no significant bias. The seasonal CH4 emission from a site receiving mineral N fertilizer at a rate of 110 kg N ha-1 was predicted by the model to be 210 and 150 kg ha-1 for the water management scenarios of continuous flood (CF) and AWD, respectively. These values compare well with estimates of CH4 emissions using Intergovernmental Panel on Climate Change tier 1 methods for the different water regimes. Our model results suggest emission factors for N2O of 0.4% and 0.6% of applied fertilizer under CF and AWD water regimes, respectively. Based on modelling studies, AWD was found to be an important strategy not only with respect to reducing GHG emissions, but also in terms of cost effectiveness. We also found that integrated management is a promising option for farmers and policy makers interested in either yield increase, GHG mitigation or both. Yield scaled emissions intensity under AWD was found to be about 24% lower than under CF, followed by integrated management.

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