Field scale nitrogen load in surface runoff: Impacts of management practices and changing climate.
Identifieur interne : 000495 ( Main/Exploration ); précédent : 000494; suivant : 000496Field scale nitrogen load in surface runoff: Impacts of management practices and changing climate.
Auteurs : Congyu Hou [États-Unis] ; Maria L. Chu [États-Unis] ; Jorge A. Guzman [États-Unis] ; Juan S. Acero Triana [États-Unis] ; Daniel N. Moriasi [États-Unis] ; Jean L. Steiner [États-Unis]Source :
- Journal of environmental management [ 1095-8630 ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- chemical : Fertilizers, Nitrogen.
- Agriculture, Climate, Climate Change.
Abstract
The use of Nitrogen (N) fertilizer boosted crop production to accommodate 7 billion people on Earth in the 20th century but with the consequence of exacerbating N losses from agricultural landscapes. Land management practices that can prevent high N load are constantly being sought for mitigation and conservation purposes. This study was aimed at evaluating the impacts of different land management practices under projected climate scenarios on surface runoff linked N load at the field scale level. A framework to analyze changes in N load at a high spatiotemporal resolution under high greenhouse emission climate projections was developed using the Pesticide Root Zone Model (PRZM) for the Willow Creek Watershed in the Fort Cobb Experimental Watershed in Oklahoma. Specifically, 12 combinations of land management and climate scenarios were evaluated based on their N load via surface runoff from 2020 to 2070. Results showed that crop rotation practices lowered both the N load and the probability of high N load events. Spring application reduced the negative effects in summer and fall from other land management practices but at the risk of increased probability of generating high N load in April and May. The fertilizer application rate was found to be the most critical factor that affected the amount and the probability of high N load events. By adopting a target application management approach, the monthly maximum N can be decreased by 13% while the annual mean N load by 6%. The model framework and analysis method developed in this research can be used to analyze tradeoffs between environmental welfare and economic benefits of N fertilizer at the field scale level.
DOI: 10.1016/j.jenvman.2019.109327
PubMed: 31400587
Affiliations:
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Electronic address: hou24@illinois.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801</wicri:regionArea><wicri:noRegion>61801</wicri:noRegion></affiliation></author><author><name sortKey="Chu, Maria L" sort="Chu, Maria L" uniqKey="Chu M" first="Maria L" last="Chu">Maria L. Chu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801, USA. Electronic address: mlchu@illinois.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801</wicri:regionArea><wicri:noRegion>61801</wicri:noRegion></affiliation></author><author><name sortKey="Guzman, Jorge A" sort="Guzman, Jorge A" uniqKey="Guzman J" first="Jorge A" last="Guzman">Jorge A. Guzman</name><affiliation wicri:level="1"><nlm:affiliation>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801, USA. Electronic address: jag@illinois.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801</wicri:regionArea><wicri:noRegion>61801</wicri:noRegion></affiliation></author><author><name sortKey="Acero Triana, Juan S" sort="Acero Triana, Juan S" uniqKey="Acero Triana J" first="Juan S" last="Acero Triana">Juan S. Acero Triana</name><affiliation wicri:level="1"><nlm:affiliation>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801, USA. Electronic address: jsa2@illinois.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801</wicri:regionArea><wicri:noRegion>61801</wicri:noRegion></affiliation></author><author><name sortKey="Moriasi, Daniel N" sort="Moriasi, Daniel N" uniqKey="Moriasi D" first="Daniel N" last="Moriasi">Daniel N. Moriasi</name><affiliation wicri:level="1"><nlm:affiliation>USDA-ARS Grazinglands Research Laboratory, 7207 West Cheyenne Street, El Reno, OK, 73036, USA. Electronic address: daniel.moriasi@ars.usda.gov.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>USDA-ARS Grazinglands Research Laboratory, 7207 West Cheyenne Street, El Reno, OK, 73036</wicri:regionArea><wicri:noRegion>73036</wicri:noRegion></affiliation></author><author><name sortKey="Steiner, Jean L" sort="Steiner, Jean L" uniqKey="Steiner J" first="Jean L" last="Steiner">Jean L. Steiner</name><affiliation wicri:level="1"><nlm:affiliation>USDA-ARS Grazinglands Research Laboratory, 7207 West Cheyenne Street, El Reno, OK, 73036, USA. Electronic address: jean.steiner@ars.usda.gov.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>USDA-ARS Grazinglands Research Laboratory, 7207 West Cheyenne Street, El Reno, OK, 73036</wicri:regionArea><wicri:noRegion>73036</wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of environmental management</title><idno type="eISSN">1095-8630</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture (MeSH)</term><term>Climate (MeSH)</term><term>Climate Change (MeSH)</term><term>Fertilizers (MeSH)</term><term>Nitrogen (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Agriculture (MeSH)</term><term>Azote (MeSH)</term><term>Changement climatique (MeSH)</term><term>Climat (MeSH)</term><term>Engrais (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Fertilizers</term><term>Nitrogen</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Agriculture</term><term>Climate</term><term>Climate Change</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Agriculture</term><term>Azote</term><term>Changement climatique</term><term>Climat</term><term>Engrais</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The use of Nitrogen (N) fertilizer boosted crop production to accommodate 7 billion people on Earth in the 20th century but with the consequence of exacerbating N losses from agricultural landscapes. Land management practices that can prevent high N load are constantly being sought for mitigation and conservation purposes. This study was aimed at evaluating the impacts of different land management practices under projected climate scenarios on surface runoff linked N load at the field scale level. A framework to analyze changes in N load at a high spatiotemporal resolution under high greenhouse emission climate projections was developed using the Pesticide Root Zone Model (PRZM) for the Willow Creek Watershed in the Fort Cobb Experimental Watershed in Oklahoma. Specifically, 12 combinations of land management and climate scenarios were evaluated based on their N load via surface runoff from 2020 to 2070. Results showed that crop rotation practices lowered both the N load and the probability of high N load events. Spring application reduced the negative effects in summer and fall from other land management practices but at the risk of increased probability of generating high N load in April and May. The fertilizer application rate was found to be the most critical factor that affected the amount and the probability of high N load events. By adopting a target application management approach, the monthly maximum N can be decreased by 13% while the annual mean N load by 6%. The model framework and analysis method developed in this research can be used to analyze tradeoffs between environmental welfare and economic benefits of N fertilizer at the field scale level.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">31400587</PMID><DateCompleted><Year>2019</Year><Month>10</Month><Day>15</Day></DateCompleted><DateRevised><Year>2019</Year><Month>10</Month><Day>15</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1095-8630</ISSN><JournalIssue CitedMedium="Internet"><Volume>249</Volume><PubDate><Year>2019</Year><Month>Nov</Month><Day>01</Day></PubDate></JournalIssue><Title>Journal of environmental management</Title><ISOAbbreviation>J Environ Manage</ISOAbbreviation></Journal><ArticleTitle>Field scale nitrogen load in surface runoff: Impacts of management practices and changing climate.</ArticleTitle><Pagination><MedlinePgn>109327</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0301-4797(19)31035-7</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jenvman.2019.109327</ELocationID><Abstract><AbstractText>The use of Nitrogen (N) fertilizer boosted crop production to accommodate 7 billion people on Earth in the 20th century but with the consequence of exacerbating N losses from agricultural landscapes. Land management practices that can prevent high N load are constantly being sought for mitigation and conservation purposes. This study was aimed at evaluating the impacts of different land management practices under projected climate scenarios on surface runoff linked N load at the field scale level. A framework to analyze changes in N load at a high spatiotemporal resolution under high greenhouse emission climate projections was developed using the Pesticide Root Zone Model (PRZM) for the Willow Creek Watershed in the Fort Cobb Experimental Watershed in Oklahoma. Specifically, 12 combinations of land management and climate scenarios were evaluated based on their N load via surface runoff from 2020 to 2070. Results showed that crop rotation practices lowered both the N load and the probability of high N load events. Spring application reduced the negative effects in summer and fall from other land management practices but at the risk of increased probability of generating high N load in April and May. The fertilizer application rate was found to be the most critical factor that affected the amount and the probability of high N load events. By adopting a target application management approach, the monthly maximum N can be decreased by 13% while the annual mean N load by 6%. The model framework and analysis method developed in this research can be used to analyze tradeoffs between environmental welfare and economic benefits of N fertilizer at the field scale level.</AbstractText><CopyrightInformation>Copyright © 2019 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hou</LastName><ForeName>Congyu</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801, USA. Electronic address: hou24@illinois.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chu</LastName><ForeName>Maria L</ForeName><Initials>ML</Initials><AffiliationInfo><Affiliation>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801, USA. Electronic address: mlchu@illinois.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Guzman</LastName><ForeName>Jorge A</ForeName><Initials>JA</Initials><AffiliationInfo><Affiliation>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801, USA. Electronic address: jag@illinois.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Acero Triana</LastName><ForeName>Juan S</ForeName><Initials>JS</Initials><AffiliationInfo><Affiliation>Department of Ag and Bio Eng, University of Illinois, 1304 West Pennsylvania Avenue, Urbana, IL, 61801, USA. Electronic address: jsa2@illinois.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Moriasi</LastName><ForeName>Daniel N</ForeName><Initials>DN</Initials><AffiliationInfo><Affiliation>USDA-ARS Grazinglands Research Laboratory, 7207 West Cheyenne Street, El Reno, OK, 73036, USA. Electronic address: daniel.moriasi@ars.usda.gov.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Steiner</LastName><ForeName>Jean L</ForeName><Initials>JL</Initials><AffiliationInfo><Affiliation>USDA-ARS Grazinglands Research Laboratory, 7207 West Cheyenne Street, El Reno, OK, 73036, USA. Electronic address: jean.steiner@ars.usda.gov.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>08</Month><Day>07</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>J Environ Manage</MedlineTA><NlmUniqueID>0401664</NlmUniqueID><ISSNLinking>0301-4797</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D005308">Fertilizers</NameOfSubstance></Chemical><Chemical><RegistryNumber>N762921K75</RegistryNumber><NameOfSubstance UI="D009584">Nitrogen</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000383" MajorTopicYN="Y">Agriculture</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002980" MajorTopicYN="N">Climate</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D057231" MajorTopicYN="N">Climate Change</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005308" MajorTopicYN="N">Fertilizers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009584" MajorTopicYN="Y">Nitrogen</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Crop rotation</Keyword><Keyword MajorTopicYN="N">Fertilizer application rate</Keyword><Keyword MajorTopicYN="N">Future climate projections</Keyword><Keyword MajorTopicYN="N">Land management practices</Keyword><Keyword MajorTopicYN="N">N load</Keyword><Keyword MajorTopicYN="N">PRZM model</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>03</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>07</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>07</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>8</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>10</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>8</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31400587</ArticleId><ArticleId IdType="pii">S0301-4797(19)31035-7</ArticleId><ArticleId IdType="doi">10.1016/j.jenvman.2019.109327</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country></list><tree><country name="États-Unis"><noRegion><name sortKey="Hou, Congyu" sort="Hou, Congyu" uniqKey="Hou C" first="Congyu" last="Hou">Congyu Hou</name></noRegion><name sortKey="Acero Triana, Juan S" sort="Acero Triana, Juan S" uniqKey="Acero Triana J" first="Juan S" last="Acero Triana">Juan S. Acero Triana</name><name sortKey="Chu, Maria L" sort="Chu, Maria L" uniqKey="Chu M" first="Maria L" last="Chu">Maria L. Chu</name><name sortKey="Guzman, Jorge A" sort="Guzman, Jorge A" uniqKey="Guzman J" first="Jorge A" last="Guzman">Jorge A. Guzman</name><name sortKey="Moriasi, Daniel N" sort="Moriasi, Daniel N" uniqKey="Moriasi D" first="Daniel N" last="Moriasi">Daniel N. Moriasi</name><name sortKey="Steiner, Jean L" sort="Steiner, Jean L" uniqKey="Steiner J" first="Jean L" last="Steiner">Jean L. Steiner</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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