Impacts of Foreign, Domestic, and State-Level Emissions on Ozone-Induced Vegetation Loss in the United States.
Identifieur interne : 001815 ( Main/Exploration ); précédent : 001814; suivant : 001816Impacts of Foreign, Domestic, and State-Level Emissions on Ozone-Induced Vegetation Loss in the United States.
Auteurs : Kateryna Lapina [États-Unis] ; Daven K. Henze [États-Unis] ; Jana B. Milford [États-Unis] ; Katherine Travis [États-Unis]Source :
- Environmental science & technology [ 1520-5851 ] ; 2016.
Descripteurs français
- KwdFr :
- Arbres (effets des médicaments et des substances chimiques), Biomasse (MeSH), Californie (MeSH), Missouri (MeSH), Modèles théoriques (MeSH), Ozone (effets indésirables), Pinus ponderosa (effets des médicaments et des substances chimiques), Populus (effets des médicaments et des substances chimiques), Produits agricoles (effets des médicaments et des substances chimiques), Soja (effets des médicaments et des substances chimiques), Texas (MeSH), Triticum (effets des médicaments et des substances chimiques), États-Unis (MeSH).
- MESH :
- effets des médicaments et des substances chimiques : Arbres, Pinus ponderosa, Populus, Produits agricoles, Soja, Triticum.
- effets indésirables : Ozone.
- Biomasse, Californie, Missouri, Modèles théoriques, Texas, États-Unis.
English descriptors
- KwdEn :
- Biomass (MeSH), California (MeSH), Crops, Agricultural (drug effects), Missouri (MeSH), Models, Theoretical (MeSH), Ozone (adverse effects), Pinus ponderosa (drug effects), Populus (drug effects), Soybeans (drug effects), Texas (MeSH), Trees (drug effects), Triticum (drug effects), United States (MeSH).
- MESH :
- chemical , adverse effects : Ozone.
- drug effects : Crops, Agricultural, Pinus ponderosa, Populus, Soybeans, Trees, Triticum.
- Biomass, California, Missouri, Models, Theoretical, Texas, United States.
Abstract
Exposure to elevated levels of ozone leads to yield reduction in agricultural crops and biomass loss in trees. Here, we quantify the impact of ozone pollution on two major U.S. crops, wheat and soybean, and two ozone-sensitive tree species, ponderosa pine and quaking aspen, using simulations with the GEOS-Chem model for 2010. Using previously established exposure-response functions, we estimate nationwide relative yield reductions of 4.9% for wheat and 6.7% for soybean, and relative biomass loss of 2.5% and 2.9% for ponderosa pine and aspen seedlings, respectively. Adjoint model sensitivities are used to estimate the impact of emissions sources from different locations, species, and sectors. We find that the nationwide relative loss in each vegetation type is influenced most by domestic anthropogenic NOx (>75%). Long-range transport from foreign sources is small relative to domestic influences. More than half of the anthropogenic NOx responsible for vegetation damage originates from outside the states where the damage occurs. Texas and Missouri are the highest contributors to the nationwide loss of wheat and soybean, respectively. California "exports" ozone damage for all types of vegetation studied, due to its location, high share of anthropogenic NOx, and a relatively low share of vegetation.
DOI: 10.1021/acs.est.5b04887
PubMed: 26694633
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Here, we quantify the impact of ozone pollution on two major U.S. crops, wheat and soybean, and two ozone-sensitive tree species, ponderosa pine and quaking aspen, using simulations with the GEOS-Chem model for 2010. Using previously established exposure-response functions, we estimate nationwide relative yield reductions of 4.9% for wheat and 6.7% for soybean, and relative biomass loss of 2.5% and 2.9% for ponderosa pine and aspen seedlings, respectively. Adjoint model sensitivities are used to estimate the impact of emissions sources from different locations, species, and sectors. We find that the nationwide relative loss in each vegetation type is influenced most by domestic anthropogenic NOx (>75%). Long-range transport from foreign sources is small relative to domestic influences. More than half of the anthropogenic NOx responsible for vegetation damage originates from outside the states where the damage occurs. Texas and Missouri are the highest contributors to the nationwide loss of wheat and soybean, respectively. California "exports" ozone damage for all types of vegetation studied, due to its location, high share of anthropogenic NOx, and a relatively low share of vegetation. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">26694633</PMID><DateCompleted><Year>2016</Year><Month>09</Month><Day>26</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1520-5851</ISSN><JournalIssue CitedMedium="Internet"><Volume>50</Volume><Issue>2</Issue><PubDate><Year>2016</Year><Month>Jan</Month><Day>19</Day></PubDate></JournalIssue><Title>Environmental science & technology</Title><ISOAbbreviation>Environ Sci Technol</ISOAbbreviation></Journal><ArticleTitle>Impacts of Foreign, Domestic, and State-Level Emissions on Ozone-Induced Vegetation Loss in the United States.</ArticleTitle><Pagination><MedlinePgn>806-13</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1021/acs.est.5b04887</ELocationID><Abstract><AbstractText>Exposure to elevated levels of ozone leads to yield reduction in agricultural crops and biomass loss in trees. Here, we quantify the impact of ozone pollution on two major U.S. crops, wheat and soybean, and two ozone-sensitive tree species, ponderosa pine and quaking aspen, using simulations with the GEOS-Chem model for 2010. Using previously established exposure-response functions, we estimate nationwide relative yield reductions of 4.9% for wheat and 6.7% for soybean, and relative biomass loss of 2.5% and 2.9% for ponderosa pine and aspen seedlings, respectively. Adjoint model sensitivities are used to estimate the impact of emissions sources from different locations, species, and sectors. We find that the nationwide relative loss in each vegetation type is influenced most by domestic anthropogenic NOx (>75%). Long-range transport from foreign sources is small relative to domestic influences. More than half of the anthropogenic NOx responsible for vegetation damage originates from outside the states where the damage occurs. Texas and Missouri are the highest contributors to the nationwide loss of wheat and soybean, respectively. California "exports" ozone damage for all types of vegetation studied, due to its location, high share of anthropogenic NOx, and a relatively low share of vegetation. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lapina</LastName><ForeName>Kateryna</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Department of Mechanical Engineering, University of Colorado , Boulder, Colorado 80309, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Henze</LastName><ForeName>Daven K</ForeName><Initials>DK</Initials><AffiliationInfo><Affiliation>Department of Mechanical Engineering, University of Colorado , Boulder, Colorado 80309, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Milford</LastName><ForeName>Jana B</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>Department of Mechanical Engineering, University of Colorado , Boulder, Colorado 80309, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Travis</LastName><ForeName>Katherine</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>School of Engineering and Applied Sciences, Harvard University , Cambridge, Massachusetts 02138, United States.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>01</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Environ Sci Technol</MedlineTA><NlmUniqueID>0213155</NlmUniqueID><ISSNLinking>0013-936X</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>66H7ZZK23N</RegistryNumber><NameOfSubstance UI="D010126">Ozone</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D018533" MajorTopicYN="N">Biomass</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002140" MajorTopicYN="N">California</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018556" MajorTopicYN="N">Crops, Agricultural</DescriptorName><QualifierName UI="Q000187" MajorTopicYN="Y">drug effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008923" MajorTopicYN="N">Missouri</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="N">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010126" MajorTopicYN="N">Ozone</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D041604" MajorTopicYN="N">Pinus ponderosa</DescriptorName><QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013025" MajorTopicYN="N">Soybeans</DescriptorName><QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013781" MajorTopicYN="N">Texas</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014197" MajorTopicYN="N">Trees</DescriptorName><QualifierName UI="Q000187" MajorTopicYN="Y">drug effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014908" MajorTopicYN="N">Triticum</DescriptorName><QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014481" MajorTopicYN="N">United States</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>12</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>12</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>9</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26694633</ArticleId><ArticleId IdType="doi">10.1021/acs.est.5b04887</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country></list><tree><country name="États-Unis"><noRegion><name sortKey="Lapina, Kateryna" sort="Lapina, Kateryna" uniqKey="Lapina K" first="Kateryna" last="Lapina">Kateryna Lapina</name></noRegion><name sortKey="Henze, Daven K" sort="Henze, Daven K" uniqKey="Henze D" first="Daven K" last="Henze">Daven K. Henze</name><name sortKey="Milford, Jana B" sort="Milford, Jana B" uniqKey="Milford J" first="Jana B" last="Milford">Jana B. Milford</name><name sortKey="Travis, Katherine" sort="Travis, Katherine" uniqKey="Travis K" first="Katherine" last="Travis">Katherine Travis</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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