Spatially explicit estimates of N2 O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management.
Identifieur interne : 001762 ( PubMed/Corpus ); précédent : 001761; suivant : 001763Spatially explicit estimates of N2 O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management.
Auteurs : James S. Gerber ; Kimberly M. Carlson ; David Makowski ; Nathaniel D. Mueller ; I Aki Garcia De Cortazar-Atauri ; Petr Havlík ; Mario Herrero ; Marie Launay ; Christine S. O'Connell ; Pete Smith ; Paul C. WestSource :
- Global change biology [ 1365-2486 ] ; 2016.
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Abstract
With increasing nitrogen (N) application to croplands required to support growing food demand, mitigating N2 O emissions from agricultural soils is a global challenge. National greenhouse gas emissions accounting typically estimates N2 O emissions at the country scale by aggregating all crops, under the assumption that N2 O emissions are linearly related to N application. However, field studies and meta-analyses indicate a nonlinear relationship, in which N2 O emissions are relatively greater at higher N application rates. Here, we apply a super-linear emissions response model to crop-specific, spatially explicit synthetic N fertilizer and manure N inputs to provide subnational accounting of global N2 O emissions from croplands. We estimate 0.66 Tg of N2 O-N direct global emissions circa 2000, with 50% of emissions concentrated in 13% of harvested area. Compared to estimates from the IPCC Tier 1 linear model, our updated N2 O emissions range from 20% to 40% lower throughout sub-Saharan Africa and Eastern Europe, to >120% greater in some Western European countries. At low N application rates, the weak nonlinear response of N2 O emissions suggests that relatively large increases in N fertilizer application would generate relatively small increases in N2 O emissions. As aggregated fertilizer data generate underestimation bias in nonlinear models, high-resolution N application data are critical to support accurate N2 O emissions estimates.
DOI: 10.1111/gcb.13341
PubMed: 27185532
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Carlson</name><affiliation><nlm:affiliation>Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, 55108, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Makowski, David" sort="Makowski, David" uniqKey="Makowski D" first="David" last="Makowski">David Makowski</name><affiliation><nlm:affiliation>INRA, AgroParisTech, University Paris-Saclay, UMR 211, F-78850, Thiverval-Grignon, France.</nlm:affiliation></affiliation></author><author><name sortKey="Mueller, Nathaniel D" sort="Mueller, Nathaniel D" uniqKey="Mueller N" first="Nathaniel D" last="Mueller">Nathaniel D. 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Gerber</name><affiliation><nlm:affiliation>Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, 55108, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Carlson, Kimberly M" sort="Carlson, Kimberly M" uniqKey="Carlson K" first="Kimberly M" last="Carlson">Kimberly M. Carlson</name><affiliation><nlm:affiliation>Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, 55108, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Makowski, David" sort="Makowski, David" uniqKey="Makowski D" first="David" last="Makowski">David Makowski</name><affiliation><nlm:affiliation>INRA, AgroParisTech, University Paris-Saclay, UMR 211, F-78850, Thiverval-Grignon, France.</nlm:affiliation></affiliation></author><author><name sortKey="Mueller, Nathaniel D" sort="Mueller, Nathaniel D" uniqKey="Mueller N" first="Nathaniel D" last="Mueller">Nathaniel D. Mueller</name><affiliation><nlm:affiliation>Department of Earth and Planetary Sciences, Harvard University, 20 Oxford Street, Cambridge, MA, 02138, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Garcia De Cortazar Atauri, I Aki" sort="Garcia De Cortazar Atauri, I Aki" uniqKey="Garcia De Cortazar Atauri I" first="I Aki" last="Garcia De Cortazar-Atauri">I Aki Garcia De Cortazar-Atauri</name><affiliation><nlm:affiliation>INRA US 1116 AGROCLIM F-84914, Avignon Cedex 9, France.</nlm:affiliation></affiliation></author><author><name sortKey="Havlik, Petr" sort="Havlik, Petr" uniqKey="Havlik P" first="Petr" last="Havlík">Petr Havlík</name><affiliation><nlm:affiliation>International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria.</nlm:affiliation></affiliation></author><author><name sortKey="Herrero, Mario" sort="Herrero, Mario" uniqKey="Herrero M" first="Mario" last="Herrero">Mario Herrero</name><affiliation><nlm:affiliation>Commonwealth Scientific and Industrial Research Organisation (CSIRO), St. Lucia, QLD, 4067, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Launay, Marie" sort="Launay, Marie" uniqKey="Launay M" first="Marie" last="Launay">Marie Launay</name><affiliation><nlm:affiliation>INRA US 1116 AGROCLIM F-84914, Avignon Cedex 9, France.</nlm:affiliation></affiliation></author><author><name sortKey="O Connell, Christine S" sort="O Connell, Christine S" uniqKey="O Connell C" first="Christine S" last="O'Connell">Christine S. O'Connell</name><affiliation><nlm:affiliation>Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, 55108, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Smith, Pete" sort="Smith, Pete" uniqKey="Smith P" first="Pete" last="Smith">Pete Smith</name><affiliation><nlm:affiliation>Institute of Biological and Environmental Sciences & ClimateXChange, University of Aberdeen, 23 St. Machar Drive, Aberdeen, Scotland, AB24 3UU, UK.</nlm:affiliation></affiliation></author><author><name sortKey="West, Paul C" sort="West, Paul C" uniqKey="West P" first="Paul C" last="West">Paul C. West</name><affiliation><nlm:affiliation>Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, 55108, USA.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Global change biology</title><idno type="eISSN">1365-2486</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Africa South of the Sahara</term><term>Climate</term><term>Crops, Agricultural</term><term>Europe, Eastern</term><term>Fertilizers</term><term>Nitrogen Dioxide</term><term>Nitrous Oxide</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Fertilizers</term><term>Nitrogen Dioxide</term><term>Nitrous Oxide</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Africa South of the Sahara</term><term>Climate</term><term>Crops, Agricultural</term><term>Europe, Eastern</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">With increasing nitrogen (N) application to croplands required to support growing food demand, mitigating N2 O emissions from agricultural soils is a global challenge. National greenhouse gas emissions accounting typically estimates N2 O emissions at the country scale by aggregating all crops, under the assumption that N2 O emissions are linearly related to N application. However, field studies and meta-analyses indicate a nonlinear relationship, in which N2 O emissions are relatively greater at higher N application rates. Here, we apply a super-linear emissions response model to crop-specific, spatially explicit synthetic N fertilizer and manure N inputs to provide subnational accounting of global N2 O emissions from croplands. We estimate 0.66 Tg of N2 O-N direct global emissions circa 2000, with 50% of emissions concentrated in 13% of harvested area. Compared to estimates from the IPCC Tier 1 linear model, our updated N2 O emissions range from 20% to 40% lower throughout sub-Saharan Africa and Eastern Europe, to >120% greater in some Western European countries. At low N application rates, the weak nonlinear response of N2 O emissions suggests that relatively large increases in N fertilizer application would generate relatively small increases in N2 O emissions. As aggregated fertilizer data generate underestimation bias in nonlinear models, high-resolution N application data are critical to support accurate N2 O emissions estimates.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27185532</PMID><DateCreated><Year>2016</Year><Month>08</Month><Day>29</Day></DateCreated><DateCompleted><Year>2017</Year><Month>08</Month><Day>23</Day></DateCompleted><DateRevised><Year>2017</Year><Month>08</Month><Day>23</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1365-2486</ISSN><JournalIssue CitedMedium="Internet"><Volume>22</Volume><Issue>10</Issue><PubDate><Year>2016</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Global change biology</Title><ISOAbbreviation>Glob Chang Biol</ISOAbbreviation></Journal><ArticleTitle>Spatially explicit estimates of N2 O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management.</ArticleTitle><Pagination><MedlinePgn>3383-94</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/gcb.13341</ELocationID><Abstract><AbstractText>With increasing nitrogen (N) application to croplands required to support growing food demand, mitigating N2 O emissions from agricultural soils is a global challenge. National greenhouse gas emissions accounting typically estimates N2 O emissions at the country scale by aggregating all crops, under the assumption that N2 O emissions are linearly related to N application. However, field studies and meta-analyses indicate a nonlinear relationship, in which N2 O emissions are relatively greater at higher N application rates. Here, we apply a super-linear emissions response model to crop-specific, spatially explicit synthetic N fertilizer and manure N inputs to provide subnational accounting of global N2 O emissions from croplands. We estimate 0.66 Tg of N2 O-N direct global emissions circa 2000, with 50% of emissions concentrated in 13% of harvested area. Compared to estimates from the IPCC Tier 1 linear model, our updated N2 O emissions range from 20% to 40% lower throughout sub-Saharan Africa and Eastern Europe, to >120% greater in some Western European countries. At low N application rates, the weak nonlinear response of N2 O emissions suggests that relatively large increases in N fertilizer application would generate relatively small increases in N2 O emissions. As aggregated fertilizer data generate underestimation bias in nonlinear models, high-resolution N application data are critical to support accurate N2 O emissions estimates.</AbstractText><CopyrightInformation>© 2016 John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Gerber</LastName><ForeName>James S</ForeName><Initials>JS</Initials><AffiliationInfo><Affiliation>Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, 55108, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Carlson</LastName><ForeName>Kimberly M</ForeName><Initials>KM</Initials><Identifier Source="ORCID">http://orcid.org/0000-0003-2162-1378</Identifier><AffiliationInfo><Affiliation>Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, 55108, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Natural Resources and Environmental Management, University of Hawai'i at Manoa 96822, 1910 East West Road, Honolulu, HI, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Makowski</LastName><ForeName>David</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>INRA, AgroParisTech, University Paris-Saclay, UMR 211, F-78850, Thiverval-Grignon, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mueller</LastName><ForeName>Nathaniel D</ForeName><Initials>ND</Initials><AffiliationInfo><Affiliation>Department of Earth and Planetary Sciences, Harvard University, 20 Oxford Street, Cambridge, MA, 02138, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA, 02138, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Garcia de Cortazar-Atauri</LastName><ForeName>Iñaki</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>INRA US 1116 AGROCLIM F-84914, Avignon Cedex 9, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Havlík</LastName><ForeName>Petr</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Herrero</LastName><ForeName>Mario</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Commonwealth Scientific and Industrial Research Organisation (CSIRO), St. Lucia, QLD, 4067, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Launay</LastName><ForeName>Marie</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>INRA US 1116 AGROCLIM F-84914, Avignon Cedex 9, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>O'Connell</LastName><ForeName>Christine S</ForeName><Initials>CS</Initials><AffiliationInfo><Affiliation>Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, 55108, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Smith</LastName><ForeName>Pete</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Institute of Biological and Environmental Sciences & ClimateXChange, University of Aberdeen, 23 St. Machar Drive, Aberdeen, Scotland, AB24 3UU, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>West</LastName><ForeName>Paul C</ForeName><Initials>PC</Initials><AffiliationInfo><Affiliation>Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, 55108, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>07</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Glob Chang Biol</MedlineTA><NlmUniqueID>9888746</NlmUniqueID><ISSNLinking>1354-1013</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D005308">Fertilizers</NameOfSubstance></Chemical><Chemical><RegistryNumber>K50XQU1029</RegistryNumber><NameOfSubstance UI="D009609">Nitrous Oxide</NameOfSubstance></Chemical><Chemical><RegistryNumber>S7G510RUBH</RegistryNumber><NameOfSubstance UI="D009585">Nitrogen Dioxide</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D017954" MajorTopicYN="N">Africa South of the Sahara</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002980" MajorTopicYN="Y">Climate</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018556" MajorTopicYN="Y">Crops, Agricultural</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005061" MajorTopicYN="N">Europe, Eastern</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005308" MajorTopicYN="N">Fertilizers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009585" MajorTopicYN="N">Nitrogen Dioxide</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009609" MajorTopicYN="N">Nitrous Oxide</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">N2O</Keyword><Keyword MajorTopicYN="N">climate change</Keyword><Keyword MajorTopicYN="N">emissions</Keyword><Keyword MajorTopicYN="N">flooded rice</Keyword><Keyword MajorTopicYN="N">greenhouse gas</Keyword><Keyword MajorTopicYN="N">manure</Keyword><Keyword MajorTopicYN="N">meta-analysis</Keyword><Keyword MajorTopicYN="N">nitrogen</Keyword><Keyword MajorTopicYN="N">nitrous oxide</Keyword><Keyword MajorTopicYN="N">sustainable agriculture</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>01</Month><Day>04</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2016</Year><Month>03</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>04</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>5</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>5</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>8</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27185532</ArticleId><ArticleId IdType="doi">10.1111/gcb.13341</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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