Field Validation of DNDC Model for Methane and Nitrous Oxide Emissions from Rice-based Production Systems of India

Babu, Y. Jagadeesh; Li, C; Frolking, Steve; Nayak, Dali Rani; Adhya, T. K.

doi:10.1007/s10705-005-6111-5

Cited by 116 publications

(76 citation statements)

References 57 publications

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“…7). As initial SOC increased from 0.5 % to 2 %, N 2 O emission increased from 3.11 kg N ha −1 yr −1 to 4.43 kg N ha −1 yr −1 , which is identical to the result of Jagadeesh Babu et al (2006), and the range of change covered the range of N 2 O flux change caused by the change of other soil factors. Within the DNDC model, dissolved organic carbon (DOC) is the only energy source for the entire denitrification process.…”

Section: Impacts Of Soil Propertiessupporting

confidence: 67%

Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

et al. 2011

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Abstract. Agricultural ecosystems are major sources of greenhouse gas (GHG) emissions, specifically nitrous oxide (N 2 O) and carbon dioxide (CO 2 ). An important method of investigating GHG emissions in agricultural ecosystems is model simulation. Field measurements quantifying N 2 O and CO 2 fluxes were taken in a summer maize ecosystem in Zhangye City, Gansu Province, in northwestern China in 2010. Observed N 2 O and CO 2 fluxes were used for validating flux predictions by a DeNitrification-DeComposition (DNDC) model. Then sensitivity tests on the validated DNDC model were carried out on three variables: climatic factors, soil properties and agricultural management. Results indicated that: (1) the factors that N 2 O emissions were sensitive to included nitrogen fertilizer application rate, manure amendment and residue return rate; (2) CO 2 emission increased with increasing manure amendment, residue return rate and initial soil organic carbon (SOC); and (3) net global warming potential (GWP) increased with increasing N fertilizer application rate and decreased with manure amendment, residue return rate and precipitation increase. Simulation of the long-term impact on SOC, N 2 O and net GWP emissions over 100 yr of management led to the conclusion that increasing residue return rate is a more efficient method of mitigating GHG emission than increasing fertilizer N application rate in the study area.

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Section: Impacts Of Soil Propertiessupporting

confidence: 67%

Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

et al. 2011

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“…[10] The model DNDC was selected because it has been calibrated and validated for many sites around the world [Brown et al, 2002;Butterbach-Bahl et al, 2001;Cai et al, 2003;Grant et al, 2004;Jagadeesh Babu et al, 2006;Kesik et al, 2005;Kiese et al, 2005;Pathak et al, 2005;Saggar et al, 2004;Xu-Ri et al, 2003;Zhang et al, 2006] and can simulate drained organic soils. Version 9.1 of DNDC was used.…”

Section: Dndcmentioning

confidence: 99%

Effect of temporal resolution on N₂O emission inventories in Dutch fen meadows

Nol

Heuvelink

Vries

et al. 2009

Global Biogeochemical Cycles

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[1] Most countries use a 1-year-resolution emission factor approach (Tier 1 or 2) to estimate terrestrial N 2 O emissions as part of their national greenhouse gas inventory. Little attention has so far been paid to the effect of the temporal resolution of the approach (e.g., day, season, and year) on N 2 O emission estimates. The effect of lumping temporal variation can be very large because of daily or seasonal variations of processes causing N 2 O emissions. Therefore, we compared annual N 2 O emissions from a model with daily time steps (DNDC) with those of a model with annual time steps (INITIATOR). Emissions were simulated for two intensively managed grassland plots in the Dutch fen meadow landscape. Annual N 2 O emissions from the investigated grasslands were sensitive to rainfall distribution within the year, especially to summer rainfall. We recommend that Tier 2 N 2 O emission estimates for intensively managed grasslands on peat soils in the temperate climate zone are adjusted for relative summer rainfall.

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“…Amongst process-oriented models, DNDC is one of the most well-established and has been widely validated (Wang et al, 1997, Butterbach-Bahl et al, 2001, Smith et al, 2002, Brown et al, 2002, Cai et al, 2003, Butterbach-Bahl et al, 2004, Grant et al, 2004, Babu et al, 2006, Beheydt et al, 2007, Abdalla et al, 2009 (Cai et al, 2003, Babu et al, 2006, Tonitto et al, 2007, Beheydt et al, 2007.…”

Section: Dndc Modelmentioning

confidence: 99%

“…Thus, more efforts could be made to modify the Monte Carlo method built into the DNDC model. Soil texture/clay content , Babu et al, 2006 Soil pH N fertilizer application rate Crop rotation…”

Section: Lca Of Light-weight Eco-compositesmentioning

confidence: 99%

“…LCA of wheat agro-eco-system 132 Butterbach-Bahl et al, 2001, Smith et al, 2002, Brown et al, 2002, Cai et al, 2003, Butterbach-Bahl et al, 2004, Grant et al, 2004, Babu et al, 2006, Beheydt et al, 2007, Abdalla et al, 2009). Furthermore, it has been applied to develop regional GHGs inventories in the USA (Li et al, 1996), New Zealand, UK (Brown et al, 2002), China (Qiu et al, 2009) and the EU (Levy et al, 2007).…”

Section: Lca Of Light-weight Eco-compositesmentioning

confidence: 99%

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Life Cycle Assessment (LCA) of Light-Weight Eco-composites

Guo¹

2012

Springer Theses

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LCA of Light-weight Eco-composites Statement of originality 2 Statement of originalityI hereby declare that this submission is my own work and to the best of my knowledge it contains no materials previously published or written by another person.Contributions made to the research of this thesis by others, with whom I have worked with are explicitly acknowledged. I also declare that the intellectual content of this thesis is the product of my own work, except to the extent that assistance from others with data collection and modification of process-oriented model DNDC is acknowledged. Miao GuoSep 2010 LCA of Light-weight Eco-compositesAbstract 3 AbstractThe environmental profiles of novel wheat based foam materials were investigated in this thesis using Life Cycle Assessment (LCA) methods. The LCAs were developed using primary data collected from industrial sources combined with new laboratory experiments supplemented with secondary data from publicly available sources.Laboratory research was conducted to obtain important missing data on WBFs for the LCA modelling, including physico-chemical parameters, biodegradability and energy recovery under anaerobic digestion conditions.Contribution analysis suggested that the emissions evolved from the wheat agroecosystem and PVOH production, together with the energy and infrastructure involved in WBF production were the major contributors to the environmental burdens of the WBF life cycle in most impact categories. The atmospheric emissions resulting from WBF degradation at the end-of-life also emerged as another important contributor to environmental impact. Amongst the diverse ‗end-of-life' scenarios examined, AD and home composting were suggested to be the optimum choices for WBF waste treatment. This research discusses two N 2 O modelling approaches and presents a method to expand the system boundary by integrating the process-oriented model DNDC for field emissions into the LCA. Sensitivity analysis suggests that the environmental profiles of agricultural products are influenced substantially by the system boundary definition. LCA of Light-weight Eco-compositesAbstract 4 Furthermore, it suggests that the ‗general rule' in LCA practice by applying an empirical model or a default emission factor (EF) could deliver unreliable LCA findings.This study also evaluated the sensitivity of the LCA results to methodology and data variations and quantified the uncertainties in the LCA outcomes arising from uncertainty in the inventory and data variability. This has led to an increase in confidence in the LCA findings. At the same time it indicates the areas where improvements in data or methods are needed in order for robust conclusions to be drawn and unbiased information to be delivered e.g. the methodological rigidity of characterization models, the IPCC Tier 1 EF uncertainty range. LCA of Light-weight Eco-compositesAcknowledgements 5

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Field Validation of DNDC Model for Methane and Nitrous Oxide Emissions from Rice-based Production Systems of India

Cited by 116 publications

References 57 publications

Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

Effect of temporal resolution on N₂O emission inventories in Dutch fen meadows

Life Cycle Assessment (LCA) of Light-Weight Eco-composites

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Field Validation of DNDC Model for Methane and Nitrous Oxide Emissions from Rice-based Production Systems of India

Cited by 116 publications

References 57 publications

Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

Effect of temporal resolution on N2O emission inventories in Dutch fen meadows

Life Cycle Assessment (LCA) of Light-Weight Eco-composites

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Product

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Effect of temporal resolution on N₂O emission inventories in Dutch fen meadows