Development and application of a mechanistic model to estimate emission of nitrous oxide from UK agriculture

Brown, L.; Syed, B.; Jarvis, S. C.; Sneath, R.W.; Phillips, V.R.; Goulding, Keith; Li, C

doi:10.1016/s1352-2310(01)00512-x

Cited by 154 publications

(86 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To simulate the carbon and nitrogen biogeochemistry in agro-ecosystem, two approaches were applied in this study: the empirical model IPCC approach , and a process-oriented model DNDC (DenitrificationDecomposition). (Brown et al, 2002), and so have a wide range, leading to a large degree of uncertainty in the emission estimation (Brown et al, 2001). Moreover, the IPCC Tier 1 methodology is intended to be broadly applicable rather than being site-specific, it does not account for regional difference in agro-ecosystem characteristics and should be regarded as a first approximation (Hutchinson et al, 2006 …”

Section: Agro-eco-system Modelling Methodsmentioning

confidence: 99%

“…The specific research methods for this soil survey were reported by Bellamy et al (2005). This soil map/inventory represents the most accurate comprehensive source of data on soil at the national level in the UK (NSRI, 2009a), and was used as the soil database for the UK-DNDC model (Brown et al, 2002 (CEH, 2009). The sampling methods are described in CEH report (Tang et al, 2008).…”

Section: Materials and Methods 102mentioning

confidence: 99%

“…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%

“…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%

“…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). But for modelling N 2 O pathways, DNDC differs from the IPCC approach: the former concerns direct N 2 O emissions whereas the latter includes both direct and indirect N 2 O emissions (indirect N 2 O via two pathways: NH 3 /NO x deposition and N leaching) , Hutchinson et al, 2007, IPCC, 2006.…”

Section: Lca Of Light-weight Eco-compositesmentioning

confidence: 99%

See 4 more Smart Citations

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

Guo¹

2012

Springer Theses

View full text Add to dashboard Cite

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

show abstract

Section: Agro-eco-system Modelling Methodsmentioning

confidence: 99%

Section: Materials and Methods 102mentioning

confidence: 99%

Section: Dndc Modelmentioning

confidence: 99%

Section: Lca Of Light-weight Eco-compositesmentioning

confidence: 99%

Section: Lca Of Light-weight Eco-compositesmentioning

confidence: 99%

See 3 more Smart Citations

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

Guo¹

2012

Springer Theses

View full text Add to dashboard Cite

show abstract

Modelle zum Stickstoffhaushalt

Nendel

2004

Handbuch Der Umweltwissenschaften

View full text Add to dashboard Cite

Underestimation of N₂O emissions in a comparison of the DayCent, DNDC, and EPIC models

Gaillard

Jones

Ingraham

et al. 2018

Ecological Applications

View full text Add to dashboard Cite

Process-based models are increasingly used to study agroecosystem interactions and N O emissions from agricultural fields. The widespread use of these models to conduct research and inform policy benefits from periodic model comparisons that assess the state of agroecosystem modeling and indicate areas for model improvement. This work provides an evaluation of simulated N O flux from three process-based models: DayCent, DNDC, and EPIC. The models were calibrated and validated using data collected from two research sites over five years that represent cropping systems and nitrogen fertilizer management strategies common to dairy cropping systems. We also evaluated the use of a multi-model ensemble strategy, which inconsistently outperformed individual model estimations. Regression analysis indicated a cross-model bias to underestimate high magnitude daily and cumulative N O flux. Model estimations of observed soil temperature and water content did not sufficiently explain model underestimations, and we found significant variation in model estimates of heterotrophic respiration, denitrification, soil NH , and soil NO , which may indicate that additional types of observed data are required to evaluate model performance and possible biases. Our results suggest a bias in the model estimation of N O flux from agroecosystems that limits the extension of models beyond calibration and as instruments of policy development. This highlights a growing need for the modeling and measurement communities to collaborate in the collection and analysis of the data necessary to improve models and coordinate future development.

show abstract

Development and application of a mechanistic model to estimate emission of nitrous oxide from UK agriculture

Cited by 154 publications

References 23 publications

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

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

Modelle zum Stickstoffhaushalt

Underestimation of N₂O emissions in a comparison of the DayCent, DNDC, and EPIC models

Contact Info

Product

Resources

About

Development and application of a mechanistic model to estimate emission of nitrous oxide from UK agriculture

Cited by 154 publications

References 23 publications

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

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

Modelle zum Stickstoffhaushalt

Underestimation of N2O emissions in a comparison of the DayCent, DNDC, and EPIC models

Contact Info

Product

Resources

About

Underestimation of N₂O emissions in a comparison of the DayCent, DNDC, and EPIC models