Serveur d'exploration sur le peuplier

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

[Impacts of Leaf Surface Micromorphology Variation on the Ability to Capture Particulate Matter].

Identifieur interne : 000010 ( Main/Exploration ); précédent : 000009; suivant : 000011

[Impacts of Leaf Surface Micromorphology Variation on the Ability to Capture Particulate Matter].

Auteurs : Wen-Jun Wei [République populaire de Chine] ; Bing Wang [République populaire de Chine] ; Xiang Niu [République populaire de Chine]

Source :

RBID : pubmed:32608886

Descripteurs français

English descriptors

Abstract

As the most important carrier of atmospheric particles captured by plants, the differences in micromorphology characteristics and leaf roughness are important determinants of particle capture capacity. Leaf micromorphology usually changes with growth (internal factor), and with environmental pollution intensity (external factor). The existing dust-spray simulation was always short; however, the leaf micromorphology changes had a clear delayed response, and therefore its results could not reflect the micromorphology changes caused by internal and external factors that influence the particulate capture capacity of leaves. In the present study, new and old leaves were used to study leaf growth, and different pollution source conditions were selected to study pollution intensity under natural conditions, to analyze the changes in leaf surface micromorphology and their impacts on particulate capture capacity. It was found that the amounts of TSP, PM10, PM2.5, and PM1 on the old leaves of three evergreen trees (Taxus cuspidata var., Platycladus orientalis, and Pinus tabuliformis) were higher than those of the new leaves, and the amounts of the particles with respect to the old leaves increased with leaf growth. Moreover, there were significant differences between the new and old leaves regarding the captured amount of different-sized particles. The increase in needle roughness (Rq) of the three evergreen trees, caused by growth, was the main factor that led to an increase in particle capture capacity for old leaves. The TSP and PM10 captured amounts of P. orientalis, P. tabuliformis, Sophora japonica, Populus tomentosa, and Ginkgo biloba were higher in the heavily polluted area than in the clean area. The amounts of PM2.5 and PM1 captured by P. tabuliformis, G. biloba, and P. orientalis in the heavily polluted area were higher than those in the clean area; however, the amounts of PM2.5 and PM1 captured by S. japonica and P. tomentosa in the clean area were higher than those in the heavily polluted area. Pollution intensity very significantly affected the capture capacity of TSP, PM10, and PM2.5 by leaves, as well as significantly affecting the capture capacity of PM1. This was mainly caused by the leaf micromorphology changes found in the heavily polluted area, such as stomatal index decrease, waxy layer degradation, more irregular surface texture and boundaries of the epidermal cells, and longer and hardened trichomes. These changes caused the Rq values to be generally higher in the heavily polluted area than in the clean area, and the roughness of the abaxial surface increased more notably than that of the adaxial surface. These results will provide data support for further revealing the driving factors of particulate matter capture capacity of leaves and proposing more scientific urban forest management measures to improve their particulate matter removal function.

DOI: 10.13227/j.hjkx.201912264
PubMed: 32608886


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">[Impacts of Leaf Surface Micromorphology Variation on the Ability to Capture Particulate Matter].</title>
<author>
<name sortKey="Wei, Wen Jun" sort="Wei, Wen Jun" uniqKey="Wei W" first="Wen-Jun" last="Wei">Wen-Jun Wei</name>
<affiliation wicri:level="1">
<nlm:affiliation>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea>
<placeName>
<settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1">
<nlm:affiliation>Liaoning Academy of Forestry, Shenyang 110032, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Liaoning Academy of Forestry, Shenyang 110032</wicri:regionArea>
<wicri:noRegion>Shenyang 110032</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Wang, Bing" sort="Wang, Bing" uniqKey="Wang B" first="Bing" last="Wang">Bing Wang</name>
<affiliation wicri:level="1">
<nlm:affiliation>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea>
<placeName>
<settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1">
<nlm:affiliation>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033</wicri:regionArea>
<wicri:noRegion>Xinyu 338033</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Niu, Xiang" sort="Niu, Xiang" uniqKey="Niu X" first="Xiang" last="Niu">Xiang Niu</name>
<affiliation wicri:level="1">
<nlm:affiliation>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea>
<placeName>
<settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1">
<nlm:affiliation>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033</wicri:regionArea>
<wicri:noRegion>Xinyu 338033</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32608886</idno>
<idno type="pmid">32608886</idno>
<idno type="doi">10.13227/j.hjkx.201912264</idno>
<idno type="wicri:Area/Main/Corpus">000216</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000216</idno>
<idno type="wicri:Area/Main/Curation">000216</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000216</idno>
<idno type="wicri:Area/Main/Exploration">000216</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">[Impacts of Leaf Surface Micromorphology Variation on the Ability to Capture Particulate Matter].</title>
<author>
<name sortKey="Wei, Wen Jun" sort="Wei, Wen Jun" uniqKey="Wei W" first="Wen-Jun" last="Wei">Wen-Jun Wei</name>
<affiliation wicri:level="1">
<nlm:affiliation>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea>
<placeName>
<settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1">
<nlm:affiliation>Liaoning Academy of Forestry, Shenyang 110032, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Liaoning Academy of Forestry, Shenyang 110032</wicri:regionArea>
<wicri:noRegion>Shenyang 110032</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Wang, Bing" sort="Wang, Bing" uniqKey="Wang B" first="Bing" last="Wang">Bing Wang</name>
<affiliation wicri:level="1">
<nlm:affiliation>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea>
<placeName>
<settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1">
<nlm:affiliation>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033</wicri:regionArea>
<wicri:noRegion>Xinyu 338033</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Niu, Xiang" sort="Niu, Xiang" uniqKey="Niu X" first="Xiang" last="Niu">Xiang Niu</name>
<affiliation wicri:level="1">
<nlm:affiliation>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea>
<placeName>
<settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1">
<nlm:affiliation>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033</wicri:regionArea>
<wicri:noRegion>Xinyu 338033</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Huan jing ke xue= Huanjing kexue</title>
<idno type="ISSN">0250-3301</idno>
<imprint>
<date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Air Pollutants (analysis)</term>
<term>Environmental Monitoring (MeSH)</term>
<term>Particulate Matter (analysis)</term>
<term>Plant Leaves (chemistry)</term>
<term>Trees (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Arbres (MeSH)</term>
<term>Feuilles de plante (composition chimique)</term>
<term>Matière particulaire (analyse)</term>
<term>Polluants atmosphériques (analyse)</term>
<term>Surveillance de l'environnement (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en">
<term>Air Pollutants</term>
<term>Particulate Matter</term>
</keywords>
<keywords scheme="MESH" qualifier="analyse" xml:lang="fr">
<term>Matière particulaire</term>
<term>Polluants atmosphériques</term>
</keywords>
<keywords scheme="MESH" qualifier="chemistry" xml:lang="en">
<term>Plant Leaves</term>
</keywords>
<keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr">
<term>Feuilles de plante</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Environmental Monitoring</term>
<term>Trees</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Arbres</term>
<term>Surveillance de l'environnement</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">As the most important carrier of atmospheric particles captured by plants, the differences in micromorphology characteristics and leaf roughness are important determinants of particle capture capacity. Leaf micromorphology usually changes with growth (internal factor), and with environmental pollution intensity (external factor). The existing dust-spray simulation was always short; however, the leaf micromorphology changes had a clear delayed response, and therefore its results could not reflect the micromorphology changes caused by internal and external factors that influence the particulate capture capacity of leaves. In the present study, new and old leaves were used to study leaf growth, and different pollution source conditions were selected to study pollution intensity under natural conditions, to analyze the changes in leaf surface micromorphology and their impacts on particulate capture capacity. It was found that the amounts of TSP, PM
<sub>10</sub>
, PM
<sub>2.5</sub>
, and PM
<sub>1</sub>
on the old leaves of three evergreen trees (
<i>Taxus cuspidata</i>
var.,
<i>Platycladus orientalis</i>
, and
<i>Pinus tabuliformis</i>
) were higher than those of the new leaves, and the amounts of the particles with respect to the old leaves increased with leaf growth. Moreover, there were significant differences between the new and old leaves regarding the captured amount of different-sized particles. The increase in needle roughness (Rq) of the three evergreen trees, caused by growth, was the main factor that led to an increase in particle capture capacity for old leaves. The TSP and PM
<sub>10</sub>
captured amounts of
<i>P. orientalis</i>
,
<i>P. tabuliformis</i>
,
<i>Sophora japonica</i>
,
<i>Populus tomentosa</i>
, and
<i>Ginkgo biloba</i>
were higher in the heavily polluted area than in the clean area. The amounts of PM
<sub>2.5</sub>
and PM
<sub>1</sub>
captured by
<i>P. tabuliformis</i>
,
<i>G. biloba</i>
, and
<i>P. orientalis</i>
in the heavily polluted area were higher than those in the clean area; however, the amounts of PM
<sub>2.5</sub>
and PM
<sub>1</sub>
captured by
<i>S. japonica</i>
and
<i>P. tomentosa</i>
in the clean area were higher than those in the heavily polluted area. Pollution intensity very significantly affected the capture capacity of TSP, PM
<sub>10</sub>
, and PM
<sub>2.5</sub>
by leaves, as well as significantly affecting the capture capacity of PM
<sub>1</sub>
. This was mainly caused by the leaf micromorphology changes found in the heavily polluted area, such as stomatal index decrease, waxy layer degradation, more irregular surface texture and boundaries of the epidermal cells, and longer and hardened trichomes. These changes caused the Rq values to be generally higher in the heavily polluted area than in the clean area, and the roughness of the abaxial surface increased more notably than that of the adaxial surface. These results will provide data support for further revealing the driving factors of particulate matter capture capacity of leaves and proposing more scientific urban forest management measures to improve their particulate matter removal function.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM">
<PMID Version="1">32608886</PMID>
<DateCompleted>
<Year>2020</Year>
<Month>09</Month>
<Day>17</Day>
</DateCompleted>
<DateRevised>
<Year>2020</Year>
<Month>09</Month>
<Day>17</Day>
</DateRevised>
<Article PubModel="Print">
<Journal>
<ISSN IssnType="Print">0250-3301</ISSN>
<JournalIssue CitedMedium="Print">
<Volume>41</Volume>
<Issue>7</Issue>
<PubDate>
<Year>2020</Year>
<Month>Jul</Month>
<Day>08</Day>
</PubDate>
</JournalIssue>
<Title>Huan jing ke xue= Huanjing kexue</Title>
<ISOAbbreviation>Huan Jing Ke Xue</ISOAbbreviation>
</Journal>
<ArticleTitle>[Impacts of Leaf Surface Micromorphology Variation on the Ability to Capture Particulate Matter].</ArticleTitle>
<Pagination>
<MedlinePgn>3136-3147</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.13227/j.hjkx.201912264</ELocationID>
<Abstract>
<AbstractText>As the most important carrier of atmospheric particles captured by plants, the differences in micromorphology characteristics and leaf roughness are important determinants of particle capture capacity. Leaf micromorphology usually changes with growth (internal factor), and with environmental pollution intensity (external factor). The existing dust-spray simulation was always short; however, the leaf micromorphology changes had a clear delayed response, and therefore its results could not reflect the micromorphology changes caused by internal and external factors that influence the particulate capture capacity of leaves. In the present study, new and old leaves were used to study leaf growth, and different pollution source conditions were selected to study pollution intensity under natural conditions, to analyze the changes in leaf surface micromorphology and their impacts on particulate capture capacity. It was found that the amounts of TSP, PM
<sub>10</sub>
, PM
<sub>2.5</sub>
, and PM
<sub>1</sub>
on the old leaves of three evergreen trees (
<i>Taxus cuspidata</i>
var.,
<i>Platycladus orientalis</i>
, and
<i>Pinus tabuliformis</i>
) were higher than those of the new leaves, and the amounts of the particles with respect to the old leaves increased with leaf growth. Moreover, there were significant differences between the new and old leaves regarding the captured amount of different-sized particles. The increase in needle roughness (Rq) of the three evergreen trees, caused by growth, was the main factor that led to an increase in particle capture capacity for old leaves. The TSP and PM
<sub>10</sub>
captured amounts of
<i>P. orientalis</i>
,
<i>P. tabuliformis</i>
,
<i>Sophora japonica</i>
,
<i>Populus tomentosa</i>
, and
<i>Ginkgo biloba</i>
were higher in the heavily polluted area than in the clean area. The amounts of PM
<sub>2.5</sub>
and PM
<sub>1</sub>
captured by
<i>P. tabuliformis</i>
,
<i>G. biloba</i>
, and
<i>P. orientalis</i>
in the heavily polluted area were higher than those in the clean area; however, the amounts of PM
<sub>2.5</sub>
and PM
<sub>1</sub>
captured by
<i>S. japonica</i>
and
<i>P. tomentosa</i>
in the clean area were higher than those in the heavily polluted area. Pollution intensity very significantly affected the capture capacity of TSP, PM
<sub>10</sub>
, and PM
<sub>2.5</sub>
by leaves, as well as significantly affecting the capture capacity of PM
<sub>1</sub>
. This was mainly caused by the leaf micromorphology changes found in the heavily polluted area, such as stomatal index decrease, waxy layer degradation, more irregular surface texture and boundaries of the epidermal cells, and longer and hardened trichomes. These changes caused the Rq values to be generally higher in the heavily polluted area than in the clean area, and the roughness of the abaxial surface increased more notably than that of the adaxial surface. These results will provide data support for further revealing the driving factors of particulate matter capture capacity of leaves and proposing more scientific urban forest management measures to improve their particulate matter removal function.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Wei</LastName>
<ForeName>Wen-Jun</ForeName>
<Initials>WJ</Initials>
<AffiliationInfo>
<Affiliation>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Liaoning Academy of Forestry, Shenyang 110032, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Wang</LastName>
<ForeName>Bing</ForeName>
<Initials>B</Initials>
<AffiliationInfo>
<Affiliation>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Niu</LastName>
<ForeName>Xiang</ForeName>
<Initials>X</Initials>
<AffiliationInfo>
<Affiliation>Key Laboratory of Forest Ecology and Environment of National State Forestry and Grassland Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Dagangshan National Key Field Observation and Research Station for Forest Ecosystem, Xinyu 338033, China.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>chi</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo>
<Country>China</Country>
<MedlineTA>Huan Jing Ke Xue</MedlineTA>
<NlmUniqueID>8405344</NlmUniqueID>
<ISSNLinking>0250-3301</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D000393">Air Pollutants</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D052638">Particulate Matter</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000393" MajorTopicYN="N">Air Pollutants</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D052638" MajorTopicYN="N">Particulate Matter</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName>
<QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D014197" MajorTopicYN="N">Trees</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">leaf</Keyword>
<Keyword MajorTopicYN="N">old and new leaves</Keyword>
<Keyword MajorTopicYN="N">particulate matter capture ability</Keyword>
<Keyword MajorTopicYN="N">pollution intensity</Keyword>
<Keyword MajorTopicYN="N">roughness</Keyword>
<Keyword MajorTopicYN="N">surface micromorphology</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="entrez">
<Year>2020</Year>
<Month>7</Month>
<Day>2</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2020</Year>
<Month>7</Month>
<Day>2</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2020</Year>
<Month>9</Month>
<Day>18</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">32608886</ArticleId>
<ArticleId IdType="doi">10.13227/j.hjkx.201912264</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
<settlement>
<li>Pékin</li>
</settlement>
</list>
<tree>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Wei, Wen Jun" sort="Wei, Wen Jun" uniqKey="Wei W" first="Wen-Jun" last="Wei">Wen-Jun Wei</name>
</noRegion>
<name sortKey="Niu, Xiang" sort="Niu, Xiang" uniqKey="Niu X" first="Xiang" last="Niu">Xiang Niu</name>
<name sortKey="Niu, Xiang" sort="Niu, Xiang" uniqKey="Niu X" first="Xiang" last="Niu">Xiang Niu</name>
<name sortKey="Wang, Bing" sort="Wang, Bing" uniqKey="Wang B" first="Bing" last="Wang">Bing Wang</name>
<name sortKey="Wang, Bing" sort="Wang, Bing" uniqKey="Wang B" first="Bing" last="Wang">Bing Wang</name>
<name sortKey="Wei, Wen Jun" sort="Wei, Wen Jun" uniqKey="Wei W" first="Wen-Jun" last="Wei">Wen-Jun Wei</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PoplarV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000010 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000010 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Bois
   |area=    PoplarV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32608886
   |texte=   [Impacts of Leaf Surface Micromorphology Variation on the Ability to Capture Particulate Matter].
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32608886" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a PoplarV1 

Wicri

This area was generated with Dilib version V0.6.37.
Data generation: Wed Nov 18 12:07:19 2020. Site generation: Wed Nov 18 12:16:31 2020