Field validation of DNDC model for methane and nitrous oxide emissions from rice-based production systems of india

Y J Babu, Chan Li, S Frolking, Dali Rani Nayak, T K Adhya

Research output: Contribution to journalArticle

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Abstract

The DNDC (DeNitrification and DeComposition) model was tested against experimental data on CH4 and N2O emissions from rice fields at different geographical locations in India. There was a good agreement between the simulated and observed values of CH4 and N2O emissions. The difference between observed and simulated CH4 emissions in all sites ranged from -11.6 to 62.5 kg C ha(-1) season(-1). Most discrepancies between simulated and observed seasonal fluxes were less than 20% of the field estimate of the seasonal flux. The relative deviation between observed and simulated cumulative N2O emissions ranged from -237.8 to 28.6%. However, some discrepancies existed between observed and simulated seasonal patterns of CH4 and N2O emissions. The model simulated zero N2O emissions from continuously flooded rice fields and poorly simulated CH4 emissions from Allahabad site. For all other simulated cases, the model satisfactorily simulated the seasonal variations in greenhouse gas emission from paddy fields with different land management. The model also simulated the C and N balances in all the sites, including other gas fluxes, viz. CO2, NO, NO2, N-2 and NH3 emissions. Sensitivity tests for CH4 indicate that soil texture and pH significantly influenced the CH4 emission. Changes in organic C content had a moderate influence on CH4 emission on these sites. Introducing the mid-season drainage reduced CH4 emissions significantly. Process-based biogeochemical modeling, as with DNDC, can help in identifying strategies for optimizing resource use, increasing productivity, closing yield gaps and reducing adverse environmental impacts.

Original languageEnglish
Pages (from-to)157-174
Number of pages18
JournalNutrient Cycling in Agroecosystems
Volume74
Issue number2
DOIs
Publication statusPublished - Feb 2006

Keywords

  • biogeochemical model
  • global change
  • methane emission
  • nitrous oxide emissions
  • rice paddy
  • crop/soil simulation-model
  • wheat cropping system
  • ammonia volatilization
  • organic-matter
  • irrigated rice
  • farmyard manure
  • GIS techniques
  • N2O emissions
  • gas emissions
  • green manure

Cite this

Field validation of DNDC model for methane and nitrous oxide emissions from rice-based production systems of india. / Babu, Y J ; Li, Chan; Frolking, S ; Nayak, Dali Rani; Adhya, T K .

In: Nutrient Cycling in Agroecosystems, Vol. 74, No. 2, 02.2006, p. 157-174.

Research output: Contribution to journalArticle

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AU - Li, Chan

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AU - Adhya, T K

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AB - The DNDC (DeNitrification and DeComposition) model was tested against experimental data on CH4 and N2O emissions from rice fields at different geographical locations in India. There was a good agreement between the simulated and observed values of CH4 and N2O emissions. The difference between observed and simulated CH4 emissions in all sites ranged from -11.6 to 62.5 kg C ha(-1) season(-1). Most discrepancies between simulated and observed seasonal fluxes were less than 20% of the field estimate of the seasonal flux. The relative deviation between observed and simulated cumulative N2O emissions ranged from -237.8 to 28.6%. However, some discrepancies existed between observed and simulated seasonal patterns of CH4 and N2O emissions. The model simulated zero N2O emissions from continuously flooded rice fields and poorly simulated CH4 emissions from Allahabad site. For all other simulated cases, the model satisfactorily simulated the seasonal variations in greenhouse gas emission from paddy fields with different land management. The model also simulated the C and N balances in all the sites, including other gas fluxes, viz. CO2, NO, NO2, N-2 and NH3 emissions. Sensitivity tests for CH4 indicate that soil texture and pH significantly influenced the CH4 emission. Changes in organic C content had a moderate influence on CH4 emission on these sites. Introducing the mid-season drainage reduced CH4 emissions significantly. Process-based biogeochemical modeling, as with DNDC, can help in identifying strategies for optimizing resource use, increasing productivity, closing yield gaps and reducing adverse environmental impacts.

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KW - nitrous oxide emissions

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KW - ammonia volatilization

KW - organic-matter

KW - irrigated rice

KW - farmyard manure

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KW - N2O emissions

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