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Quantifying Uncertainties in N(2)O Emission Due to N Fertilizer Application in Cultivated Areas

Nitrous oxide (N(2)O) is a greenhouse gas with a global warming potential approximately 298 times greater than that of CO(2). In 2006, the Intergovernmental Panel on Climate Change (IPCC) estimated N(2)O emission due to synthetic and organic nitrogen (N) fertilization at 1% of applied N. We investig...

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Detalles Bibliográficos
Autores principales: Philibert, Aurore, Loyce, Chantal, Makowski, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3511396/
https://www.ncbi.nlm.nih.gov/pubmed/23226430
http://dx.doi.org/10.1371/journal.pone.0050950
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author Philibert, Aurore
Loyce, Chantal
Makowski, David
author_facet Philibert, Aurore
Loyce, Chantal
Makowski, David
author_sort Philibert, Aurore
collection PubMed
description Nitrous oxide (N(2)O) is a greenhouse gas with a global warming potential approximately 298 times greater than that of CO(2). In 2006, the Intergovernmental Panel on Climate Change (IPCC) estimated N(2)O emission due to synthetic and organic nitrogen (N) fertilization at 1% of applied N. We investigated the uncertainty on this estimated value, by fitting 13 different models to a published dataset including 985 N(2)O measurements. These models were characterized by (i) the presence or absence of the explanatory variable “applied N”, (ii) the function relating N(2)O emission to applied N (exponential or linear function), (iii) fixed or random background (i.e. in the absence of N application) N(2)O emission and (iv) fixed or random applied N effect. We calculated ranges of uncertainty on N(2)O emissions from a subset of these models, and compared them with the uncertainty ranges currently used in the IPCC-Tier 1 method. The exponential models outperformed the linear models, and models including one or two random effects outperformed those including fixed effects only. The use of an exponential function rather than a linear function has an important practical consequence: the emission factor is not constant and increases as a function of applied N. Emission factors estimated using the exponential function were lower than 1% when the amount of N applied was below 160 kg N ha(−1). Our uncertainty analysis shows that the uncertainty range currently used by the IPCC-Tier 1 method could be reduced.
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spelling pubmed-35113962012-12-05 Quantifying Uncertainties in N(2)O Emission Due to N Fertilizer Application in Cultivated Areas Philibert, Aurore Loyce, Chantal Makowski, David PLoS One Research Article Nitrous oxide (N(2)O) is a greenhouse gas with a global warming potential approximately 298 times greater than that of CO(2). In 2006, the Intergovernmental Panel on Climate Change (IPCC) estimated N(2)O emission due to synthetic and organic nitrogen (N) fertilization at 1% of applied N. We investigated the uncertainty on this estimated value, by fitting 13 different models to a published dataset including 985 N(2)O measurements. These models were characterized by (i) the presence or absence of the explanatory variable “applied N”, (ii) the function relating N(2)O emission to applied N (exponential or linear function), (iii) fixed or random background (i.e. in the absence of N application) N(2)O emission and (iv) fixed or random applied N effect. We calculated ranges of uncertainty on N(2)O emissions from a subset of these models, and compared them with the uncertainty ranges currently used in the IPCC-Tier 1 method. The exponential models outperformed the linear models, and models including one or two random effects outperformed those including fixed effects only. The use of an exponential function rather than a linear function has an important practical consequence: the emission factor is not constant and increases as a function of applied N. Emission factors estimated using the exponential function were lower than 1% when the amount of N applied was below 160 kg N ha(−1). Our uncertainty analysis shows that the uncertainty range currently used by the IPCC-Tier 1 method could be reduced. Public Library of Science 2012-11-30 /pmc/articles/PMC3511396/ /pubmed/23226430 http://dx.doi.org/10.1371/journal.pone.0050950 Text en © 2012 Philibert et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Philibert, Aurore
Loyce, Chantal
Makowski, David
Quantifying Uncertainties in N(2)O Emission Due to N Fertilizer Application in Cultivated Areas
title Quantifying Uncertainties in N(2)O Emission Due to N Fertilizer Application in Cultivated Areas
title_full Quantifying Uncertainties in N(2)O Emission Due to N Fertilizer Application in Cultivated Areas
title_fullStr Quantifying Uncertainties in N(2)O Emission Due to N Fertilizer Application in Cultivated Areas
title_full_unstemmed Quantifying Uncertainties in N(2)O Emission Due to N Fertilizer Application in Cultivated Areas
title_short Quantifying Uncertainties in N(2)O Emission Due to N Fertilizer Application in Cultivated Areas
title_sort quantifying uncertainties in n(2)o emission due to n fertilizer application in cultivated areas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3511396/
https://www.ncbi.nlm.nih.gov/pubmed/23226430
http://dx.doi.org/10.1371/journal.pone.0050950
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