Nitrous oxide emissions from fertilised UK arable soils: Fluxes, emission factors and mitigation

Bell, M. J.; Hinton, Nicola; Cloy, Joanna M.; Topp, Cairistiona F. E.; Rees, Robert M.; Cardenas, L. M.; Scott, T.; Webster, Collin A.; Ashton, R. W.; Whitmore, A. P.; Williams, J. R.; Balshaw, Helen M.; Paine, Frederick S.; Goulding, Keith; Chadwick, David R.

doi:10.1016/j.agee.2015.07.003

Cited by 73 publications

(40 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…El consumo prolongado de dosis elevadas de NO 3 -en las aguas (sobre 50 mg/l) puede generar enfermedades como el "síndrome del bebe azul" en embarazadas y/o lactantes. Los efectos agronómicos del DCD han sido estudiados ampliamente bajo diferentes condiciones climáticas y edáficas (Bell et al, 2015, Misselbrook et al, 2014. Los autores destacan que la efectividad observada real del DCD va a depender de factores tanto bióticos como abióticos (por ejemplo, clima, manejo agronómico, zona geográfica, tipo de suelo, topografía, época de aplicación, dosis, tipo de cultivo, entre otros).…”

Section: Dcd Ureaunclassified

“…Email: terreduca@gmail.com Fono Oficina: (45) 2 78 69 94 Diciandiamida (DCD) es un compuesto químico utilizado como ingrediente activo (bacteriostático, Figura 1) en fertilizantes nitrogenados para mejorar los rendimientos de forraje y cultivos y supone reducir las pérdidas de nitratos (NO 3 -) por lixiviación y de óxido nitroso (N 2 O) por emisiones a la atmosfera (potente gas de efecto invernadero-GEI) (Cameron et al, 2014;Barneze et al, 2015). Debido a esto último, su uso en predios agropecuarios promete contribuir a reducir la Huella de Carbono y ser considerado una herramienta de mitigación de GEI (Bell et al, 2015). Sin embargo, estudios recientes han confirmado que para suelos Oxisol de Brazil tal reducción no se observa (Mazzetto et al, 2015).…”

unclassified

See 1 more Smart Citation

Impacto colateral del bacteriostático Diciandiamida en sistemas lecheros y su ingreso a la cadena alimentaria.

Valdeavellano¹

2016

Sust. Agric. Food Env. Res.

View full text Add to dashboard Cite

Section: Dcd Ureaunclassified

unclassified

Impacto colateral del bacteriostático Diciandiamida en sistemas lecheros y su ingreso a la cadena alimentaria.

Valdeavellano¹

2016

Sust. Agric. Food Env. Res.

View full text Add to dashboard Cite

“…The use of default Tier 1 EFs obscures actual patterns of GHG emissions and may introduce bias against certain farm systems, locations etc. Recent studies have determined Tier 2 EFs for the UK and China based on experimentation (Bell et al, 2015) and analysis of existing data (Shepherd et al, 2015). However lack of empirical evidence is a problem, particularly in sub-Saharan Africa where 'fewer than 15 studies of nitrous oxide emissions from soils have taken place' (Rosenstock et al, 2013), although Kim et al (2016) have recently updated the research on N 2 O in Sub-Saharan Africa.…”

Section: Investigating the Effect Of Variation In Key Parametersmentioning

confidence: 99%

Invited review: A position on the Global Livestock Environmental Assessment Model (GLEAM)

MacLeod

Vellinga

Opio

et al. 2018

Animal

View full text Add to dashboard Cite

The livestock sector is one of the fastest growing subsectors of the agricultural economy and, while it makes a major contribution to global food supply and economic development, it also consumes significant amounts of natural resources and alters the environment. In order to improve our understanding of the global environmental impact of livestock supply chains, the Food and Agriculture Organization of the United Nations has developed the Global Livestock Environmental Assessment Model (GLEAM). The purpose of this paper is to provide a review of GLEAM. Specifically, it explains the model architecture, methods and functionality, that is the types of analysis that the model can perform. The model focuses primarily on the quantification of greenhouse gases emissions arising from the production of the 11 main livestock commodities. The model inputs and outputs are managed and produced as raster data sets, with spatial resolution of 0.05 decimal degrees. The Global Livestock Environmental Assessment Model v1.0 consists of five distinct modules: (a) the Herd Module; (b) the Manure Module; (c) the Feed Module; (d) the System Module; (e) the Allocation Module. In terms of the modelling approach, GLEAM has several advantages. For example spatial information on livestock distributions and crops yields enables rations to be derived that reflect the local availability of feed resources in developing countries. The Global Livestock Environmental Assessment Model also contains a herd model that enables livestock statistics to be disaggregated and variation in livestock performance and management to be captured. Priorities for future development of GLEAM include: improving data quality and the methods used to perform emissions calculations; extending the scope of the model to include selected additional environmental impacts and to enable predictive modelling; and improving the utility of GLEAM output.

show abstract

“…not over parameterised to site only conditions, DDC can produce reasonably robust estimated of annual N 2 O emissions in response to fertiliser application. Consequently by scaling up the spatial resolution of the annual nitrous oxide emissions, outputs from DDC in this context are relatively accurate (Bell et al, 2015a(Bell et al, ,b, 2016. There are however some underlying uncertainties in the modelling approaches, at the site level that can feed into spatial estimates.…”

Section: Region A) Grasslandsmentioning

confidence: 99%

Modelling spatial and inter-annual variations of nitrous oxide emissions from UK cropland and grasslands using DailyDayCent

Fitton

Datta

Cloy

et al. 2017

Agriculture, Ecosystems & Environment

Self Cite

View full text Add to dashboard Cite

A B S T R A C TAgricultural soils are the primary source of nitrous oxide emissions due to management practices including fertiliser application. While fertiliser rates are one of the main drivers of nitrous oxide emissions, emissions are also dependent on other variables such as climate and soil properties. To understand the spatial and inter-annual variations in emission rate, simulations of N 2 O emissions were made from 2000 to 2010 for UK grass and croplands. In addition, the sensitivity of these emissions to soil and climate inputs was also tested. Emissions of between 0.3 to 3.5 kg N ha −1 yr −1 and 0.7-7 kg N ha −1 yr −1 were simulated across UK croplands and grasslands, respectively. While inter-annual variations can be attributed to climate influences, the primary driver of spatial variations in emissions was soil clay content. However, when the sensitivity of nitrous oxide emissions to soil clay content alone was tested, it was not always the best predictor of emissions, when soil texture is altered outside of the normal range used as inputs to the model from different databases.

show abstract

Nitrous oxide emissions from fertilised UK arable soils: Fluxes, emission factors and mitigation

Cited by 73 publications

References 72 publications

Impacto colateral del bacteriostático Diciandiamida en sistemas lecheros y su ingreso a la cadena alimentaria.

Impacto colateral del bacteriostático Diciandiamida en sistemas lecheros y su ingreso a la cadena alimentaria.

Invited review: A position on the Global Livestock Environmental Assessment Model (GLEAM)

Modelling spatial and inter-annual variations of nitrous oxide emissions from UK cropland and grasslands using DailyDayCent

Contact Info

Product

Resources

About