Ectomycorrhizal fungus-associated determinants jointly reflect ecological processes in a temperature broad-leaved mixed forest.
Identifieur interne : 000184 ( Main/Exploration ); précédent : 000183; suivant : 000185Ectomycorrhizal fungus-associated determinants jointly reflect ecological processes in a temperature broad-leaved mixed forest.
Auteurs : Zhen Bai [République populaire de Chine] ; Zuo-Qiang Yuan [République populaire de Chine] ; Dong-Mei Wang [République populaire de Chine] ; Shuai Fang [République populaire de Chine] ; Ji Ye [République populaire de Chine] ; Xu-Gao Wang [République populaire de Chine] ; Hai-Sheng Yuan [République populaire de Chine]Source :
- The Science of the total environment [ 1879-1026 ] ; 2020.
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Abstract
Ectomycorrhizal (ECM) fungi are closely related to vegetation compositions, edaphic properties, and site-specific processes. However, the coevolutionary mechanisms underlying the spatial distributions in floristic and ECM fungal composition in the context of biotic adaptations and abiotic variances remain unclear. We combine a total of 25 ECM fungus-associated environmental variables to impose three types of composite scores and then quantify the environmental gradients of geographical site, soil chemical property and vegetation functional trait across 122 grids of 20 m × 20 m in a 25-hm2 forest plot. Significant dissimilarities in vegetational and ECM fungal abundance and composition existed along the above environmental gradients. Specifically, a contrasting floristic distribution (e.g., Betula platyphylla vs. Tilia mandshurica) existed between the northeastern and southwestern areas and was closely related to the nutrient and moisture gradients (with high levels in the west and low levels in the east). Furthermore, the ECM fungal communities were more abundant in the nutrient-poor and low-moisture environments than in the nutrient-rich and high-moisture environments, and the mixed-forest in the middle-gradient sites between the northeastern and southwestern areas harbored the highest ECM fungal diversity. These findings suggest that predictable within-site vegetation succession is closely related to ECM-associated determinants and the natural spatial heterogeneity of edaphic properties at a local scale.
DOI: 10.1016/j.scitotenv.2019.135475
PubMed: 31767296
Affiliations:
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Electronic address: wangxg@iae.ac.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164</wicri:regionArea><wicri:noRegion>Shenyang 110164</wicri:noRegion></affiliation></author><author><name sortKey="Yuan, Hai Sheng" sort="Yuan, Hai Sheng" uniqKey="Yuan H" first="Hai-Sheng" last="Yuan">Hai-Sheng Yuan</name><affiliation wicri:level="1"><nlm:affiliation>CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, PR China. Electronic address: hsyuan@iae.ac.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164</wicri:regionArea><wicri:noRegion>Shenyang 110164</wicri:noRegion></affiliation></author></analytic><series><title level="j">The Science of the total environment</title><idno type="eISSN">1879-1026</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biodiversity (MeSH)</term><term>Ecology (MeSH)</term><term>Environmental Monitoring (MeSH)</term><term>Forests (MeSH)</term><term>Mycorrhizae (MeSH)</term><term>Soil Microbiology (MeSH)</term><term>Temperature (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Biodiversité (MeSH)</term><term>Forêts (MeSH)</term><term>Microbiologie du sol (MeSH)</term><term>Mycorhizes (MeSH)</term><term>Surveillance de l'environnement (MeSH)</term><term>Température (MeSH)</term><term>Écologie (MeSH)</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biodiversity</term><term>Ecology</term><term>Environmental Monitoring</term><term>Forests</term><term>Mycorrhizae</term><term>Soil Microbiology</term><term>Temperature</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Biodiversité</term><term>Forêts</term><term>Microbiologie du sol</term><term>Mycorhizes</term><term>Surveillance de l'environnement</term><term>Température</term><term>Écologie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Ectomycorrhizal (ECM) fungi are closely related to vegetation compositions, edaphic properties, and site-specific processes. However, the coevolutionary mechanisms underlying the spatial distributions in floristic and ECM fungal composition in the context of biotic adaptations and abiotic variances remain unclear. We combine a total of 25 ECM fungus-associated environmental variables to impose three types of composite scores and then quantify the environmental gradients of geographical site, soil chemical property and vegetation functional trait across 122 grids of 20 m × 20 m in a 25-hm<sup>2</sup> forest plot. Significant dissimilarities in vegetational and ECM fungal abundance and composition existed along the above environmental gradients. Specifically, a contrasting floristic distribution (e.g., Betula platyphylla vs. Tilia mandshurica) existed between the northeastern and southwestern areas and was closely related to the nutrient and moisture gradients (with high levels in the west and low levels in the east). Furthermore, the ECM fungal communities were more abundant in the nutrient-poor and low-moisture environments than in the nutrient-rich and high-moisture environments, and the mixed-forest in the middle-gradient sites between the northeastern and southwestern areas harbored the highest ECM fungal diversity. These findings suggest that predictable within-site vegetation succession is closely related to ECM-associated determinants and the natural spatial heterogeneity of edaphic properties at a local scale.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">31767296</PMID><DateCompleted><Year>2020</Year><Month>03</Month><Day>05</Day></DateCompleted><DateRevised><Year>2020</Year><Month>03</Month><Day>05</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1026</ISSN><JournalIssue CitedMedium="Internet"><Volume>703</Volume><PubDate><Year>2020</Year><Month>Feb</Month><Day>10</Day></PubDate></JournalIssue><Title>The Science of the total environment</Title><ISOAbbreviation>Sci Total Environ</ISOAbbreviation></Journal><ArticleTitle>Ectomycorrhizal fungus-associated determinants jointly reflect ecological processes in a temperature broad-leaved mixed forest.</ArticleTitle><Pagination><MedlinePgn>135475</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0048-9697(19)35468-3</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.scitotenv.2019.135475</ELocationID><Abstract><AbstractText>Ectomycorrhizal (ECM) fungi are closely related to vegetation compositions, edaphic properties, and site-specific processes. However, the coevolutionary mechanisms underlying the spatial distributions in floristic and ECM fungal composition in the context of biotic adaptations and abiotic variances remain unclear. We combine a total of 25 ECM fungus-associated environmental variables to impose three types of composite scores and then quantify the environmental gradients of geographical site, soil chemical property and vegetation functional trait across 122 grids of 20 m × 20 m in a 25-hm<sup>2</sup> forest plot. Significant dissimilarities in vegetational and ECM fungal abundance and composition existed along the above environmental gradients. Specifically, a contrasting floristic distribution (e.g., Betula platyphylla vs. Tilia mandshurica) existed between the northeastern and southwestern areas and was closely related to the nutrient and moisture gradients (with high levels in the west and low levels in the east). Furthermore, the ECM fungal communities were more abundant in the nutrient-poor and low-moisture environments than in the nutrient-rich and high-moisture environments, and the mixed-forest in the middle-gradient sites between the northeastern and southwestern areas harbored the highest ECM fungal diversity. These findings suggest that predictable within-site vegetation succession is closely related to ECM-associated determinants and the natural spatial heterogeneity of edaphic properties at a local scale.</AbstractText><CopyrightInformation>Copyright © 2019. Published by Elsevier B.V.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bai</LastName><ForeName>Zhen</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yuan</LastName><ForeName>Zuo-Qiang</ForeName><Initials>ZQ</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Dong-Mei</ForeName><Initials>DM</Initials><AffiliationInfo><Affiliation>School of pharmacy, Shenyang Pharmaceutical University, 72 Wenhua Road, Shenyang 110016, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fang</LastName><ForeName>Shuai</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ye</LastName><ForeName>Ji</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Xu-Gao</ForeName><Initials>XG</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, PR China. Electronic address: wangxg@iae.ac.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yuan</LastName><ForeName>Hai-Sheng</ForeName><Initials>HS</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, PR China. Electronic address: hsyuan@iae.ac.cn.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>11</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Sci Total Environ</MedlineTA><NlmUniqueID>0330500</NlmUniqueID><ISSNLinking>0048-9697</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D044822" MajorTopicYN="N">Biodiversity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004463" MajorTopicYN="N">Ecology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065928" MajorTopicYN="Y">Forests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D038821" MajorTopicYN="Y">Mycorrhizae</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012988" MajorTopicYN="Y">Soil Microbiology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013696" MajorTopicYN="N">Temperature</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Broad-leaved mixed-forest</Keyword><Keyword MajorTopicYN="N">Ectomycorrhizal (ECM) fungi</Keyword><Keyword MajorTopicYN="N">Environmental gradient</Keyword><Keyword MajorTopicYN="N">Geographical site</Keyword><Keyword MajorTopicYN="N">Plant functional trait</Keyword><Keyword MajorTopicYN="N">Soil nutrient</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>07</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>11</Month><Day>05</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>11</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>11</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>3</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>11</Month><Day>27</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31767296</ArticleId><ArticleId IdType="pii">S0048-9697(19)35468-3</ArticleId><ArticleId IdType="doi">10.1016/j.scitotenv.2019.135475</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Bai, Zhen" sort="Bai, Zhen" uniqKey="Bai Z" first="Zhen" last="Bai">Zhen Bai</name></noRegion><name sortKey="Fang, Shuai" sort="Fang, Shuai" uniqKey="Fang S" first="Shuai" last="Fang">Shuai Fang</name><name sortKey="Wang, Dong Mei" sort="Wang, Dong Mei" uniqKey="Wang D" first="Dong-Mei" last="Wang">Dong-Mei Wang</name><name sortKey="Wang, Xu Gao" sort="Wang, Xu Gao" uniqKey="Wang X" first="Xu-Gao" last="Wang">Xu-Gao Wang</name><name sortKey="Ye, Ji" sort="Ye, Ji" uniqKey="Ye J" first="Ji" last="Ye">Ji Ye</name><name sortKey="Yuan, Hai Sheng" sort="Yuan, Hai Sheng" uniqKey="Yuan H" first="Hai-Sheng" last="Yuan">Hai-Sheng Yuan</name><name sortKey="Yuan, Zuo Qiang" sort="Yuan, Zuo Qiang" uniqKey="Yuan Z" first="Zuo-Qiang" last="Yuan">Zuo-Qiang Yuan</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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