Quantifying Uncertainties in N2O Emission Due to N Fertilizer Application in Cultivated Areas
Nitrous oxide (N2O) is a greenhouse gas with a global warming potential approximately 298 times greater than that of CO2. In 2006, the Intergovernmental Panel on Climate Change (IPCC) estimated N2O emission due to synthetic and organic nitrogen (N) fertilization at 1% of applied N. We investigated t...
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description | Nitrous oxide (N2O) is a greenhouse gas with a global warming potential approximately 298 times greater than that of CO2. In 2006, the Intergovernmental Panel on Climate Change (IPCC) estimated N2O 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 N2O measurements. These models were characterized by (i) the presence or absence of the explanatory variable “applied N”, (ii) the function relating N2O emission to applied N (exponential or linear function), (iii) fixed or random background (i.e. in the absence of N application) N2O emission and (iv) fixed or random applied N effect. We calculated ranges of uncertainty on N2O 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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In 2006, the Intergovernmental Panel on Climate Change (IPCC) estimated N2O 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 N2O measurements. These models were characterized by (i) the presence or absence of the explanatory variable “applied N”, (ii) the function relating N2O emission to applied N (exponential or linear function), (iii) fixed or random background (i.e. in the absence of N application) N2O emission and (iv) fixed or random applied N effect. We calculated ranges of uncertainty on N2O 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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0050950</identifier><identifier>PMID: 23226430</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Agriculture ; Biology ; Carbon dioxide ; Climate change ; Corn ; Crops ; Emission ; Emissions ; Exponential functions ; Fertilization ; Fertilizer application ; Fertilizers ; Global warming ; Greenhouse effect ; Greenhouse gases ; Intergovernmental Panel on Climate Change ; Linear functions ; Mathematical analysis ; Mathematics ; Methods ; Nitrogen ; Nitrous oxide ; Nitrous oxides ; Organic nitrogen ; Oryza ; Rain ; Statistical analysis ; Statistics ; Uncertainty analysis</subject><ispartof>PloS one, 2012-11, Vol.7 (11), p.e50950</ispartof><rights>2012 Philibert et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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In 2006, the Intergovernmental Panel on Climate Change (IPCC) estimated N2O 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 N2O measurements. These models were characterized by (i) the presence or absence of the explanatory variable “applied N”, (ii) the function relating N2O emission to applied N (exponential or linear function), (iii) fixed or random background (i.e. in the absence of N application) N2O emission and (iv) fixed or random applied N effect. We calculated ranges of uncertainty on N2O 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.</description><subject>Agriculture</subject><subject>Biology</subject><subject>Carbon dioxide</subject><subject>Climate change</subject><subject>Corn</subject><subject>Crops</subject><subject>Emission</subject><subject>Emissions</subject><subject>Exponential functions</subject><subject>Fertilization</subject><subject>Fertilizer application</subject><subject>Fertilizers</subject><subject>Global warming</subject><subject>Greenhouse effect</subject><subject>Greenhouse gases</subject><subject>Intergovernmental Panel on Climate Change</subject><subject>Linear functions</subject><subject>Mathematical analysis</subject><subject>Mathematics</subject><subject>Methods</subject><subject>Nitrogen</subject><subject>Nitrous oxide</subject><subject>Nitrous oxides</subject><subject>Organic nitrogen</subject><subject>Oryza</subject><subject>Rain</subject><subject>Statistical 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David</au><au>Bernacchi, Carl J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying Uncertainties in N2O Emission Due to N Fertilizer Application in Cultivated Areas</atitle><jtitle>PloS one</jtitle><date>2012-11-30</date><risdate>2012</risdate><volume>7</volume><issue>11</issue><spage>e50950</spage><pages>e50950-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Nitrous oxide (N2O) is a greenhouse gas with a global warming potential approximately 298 times greater than that of CO2. In 2006, the Intergovernmental Panel on Climate Change (IPCC) estimated N2O 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 N2O measurements. These models were characterized by (i) the presence or absence of the explanatory variable “applied N”, (ii) the function relating N2O emission to applied N (exponential or linear function), (iii) fixed or random background (i.e. in the absence of N application) N2O emission and (iv) fixed or random applied N effect. We calculated ranges of uncertainty on N2O 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.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>23226430</pmid><doi>10.1371/journal.pone.0050950</doi><oa>free_for_read</oa></addata></record> |
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subjects | Agriculture Biology Carbon dioxide Climate change Corn Crops Emission Emissions Exponential functions Fertilization Fertilizer application Fertilizers Global warming Greenhouse effect Greenhouse gases Intergovernmental Panel on Climate Change Linear functions Mathematical analysis Mathematics Methods Nitrogen Nitrous oxide Nitrous oxides Organic nitrogen Oryza Rain Statistical analysis Statistics Uncertainty analysis |
title | Quantifying Uncertainties in N2O Emission Due to N Fertilizer Application in Cultivated Areas |
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