Niche width of above- and below-ground organisms varied in predicting biodiversity profiling along a latitudinal gradient.
Identifieur interne : 000016 ( Main/Exploration ); précédent : 000015; suivant : 000017Niche width of above- and below-ground organisms varied in predicting biodiversity profiling along a latitudinal gradient.
Auteurs : Kai Feng [République populaire de Chine] ; Shang Wang [République populaire de Chine] ; Ziyan Wei [République populaire de Chine] ; Zhujun Wang [République populaire de Chine] ; Zhaojing Zhang [République populaire de Chine] ; Yueni Wu [République populaire de Chine] ; Yuguang Zhang [République populaire de Chine] ; Ye Deng [République populaire de Chine]Source :
- Molecular ecology [ 1365-294X ] ; 2020.
Abstract
Biodiversity is the foundation of all ecosystems across the planet, and having a better understanding of its global distribution mechanism could be important for biodiversity conservation under global change. A niche width model, combined with metabolic theory, has successfully predicted the increase of α-diversity and decrease of β-diversity in the below-ground microbial community along an altitudinal mountain gradient. In this study, we evaluated this niche width model of above-ground plants (mainly trees and shrubs) and below-ground bulk soil microbial communities (i.e., bacteria and archaea) along a latitudinal gradient of forests in China. The niche widths of both plants and microbes increased with increasing temperature and precipitation, and with proximity to circumneutral pH. However, the α- and β-diversities (observed richness and Bray-Curtis dissimilarity, respectively) could not be accurately predicted by a single niche width model alone, either temperature, precipitation or pH. Considering the interactions among different niche width models, all three niche width models were combined to predict biodiversity at the community level using structural equation modelling. The results showed that the niche width model of circumneutral pH was most important in predicting diversity profiling (i.e., α- and β-diversity) for both plants and microbes, while niche width of precipitation and temperature showed both direct and indirect importance for microbe and plant biodiversity, respectively. Because the current niche width model neglects several scenarios related to taxon and environmental attributes, it still needs to be treated with caution in predicting biodiversity trends.
DOI: 10.1111/mec.15441
PubMed: 32299139
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xml:lang="fr">République populaire de Chine</country><wicri:regionArea>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Wei, Ziyan" sort="Wei, Ziyan" uniqKey="Wei Z" first="Ziyan" last="Wei">Ziyan Wei</name><affiliation wicri:level="1"><nlm:affiliation>Institute for Marine Science and Technology, Shandong University, Qingdao, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute for Marine Science and Technology, Shandong University, Qingdao</wicri:regionArea><wicri:noRegion>Qingdao</wicri:noRegion></affiliation></author><author><name sortKey="Wang, Zhujun" sort="Wang, Zhujun" uniqKey="Wang Z" first="Zhujun" last="Wang">Zhujun Wang</name><affiliation wicri:level="3"><nlm:affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Zhang, Zhaojing" sort="Zhang, Zhaojing" uniqKey="Zhang Z" first="Zhaojing" last="Zhang">Zhaojing Zhang</name><affiliation wicri:level="3"><nlm:affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Institute for Marine Science and Technology, Shandong University, Qingdao, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute for Marine Science and Technology, Shandong University, Qingdao</wicri:regionArea><wicri:noRegion>Qingdao</wicri:noRegion></affiliation></author><author><name sortKey="Wu, Yueni" sort="Wu, Yueni" uniqKey="Wu Y" first="Yueni" last="Wu">Yueni Wu</name><affiliation wicri:level="3"><nlm:affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Zhang, Yuguang" sort="Zhang, Yuguang" uniqKey="Zhang Y" first="Yuguang" last="Zhang">Yuguang Zhang</name><affiliation wicri:level="3"><nlm:affiliation>The Key Laboratory of Forest Ecology and Environment of State Forestry Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>The Key Laboratory of Forest Ecology and Environment of State Forestry Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Deng, Ye" sort="Deng, Ye" uniqKey="Deng Y" first="Ye" last="Deng">Ye Deng</name><affiliation wicri:level="3"><nlm:affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Institute for Marine Science and Technology, Shandong University, Qingdao, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute for Marine Science and Technology, Shandong University, Qingdao</wicri:regionArea><wicri:noRegion>Qingdao</wicri:noRegion></affiliation></author></analytic><series><title level="j">Molecular ecology</title><idno type="eISSN">1365-294X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Biodiversity is the foundation of all ecosystems across the planet, and having a better understanding of its global distribution mechanism could be important for biodiversity conservation under global change. A niche width model, combined with metabolic theory, has successfully predicted the increase of α-diversity and decrease of β-diversity in the below-ground microbial community along an altitudinal mountain gradient. In this study, we evaluated this niche width model of above-ground plants (mainly trees and shrubs) and below-ground bulk soil microbial communities (i.e., bacteria and archaea) along a latitudinal gradient of forests in China. The niche widths of both plants and microbes increased with increasing temperature and precipitation, and with proximity to circumneutral pH. However, the α- and β-diversities (observed richness and Bray-Curtis dissimilarity, respectively) could not be accurately predicted by a single niche width model alone, either temperature, precipitation or pH. Considering the interactions among different niche width models, all three niche width models were combined to predict biodiversity at the community level using structural equation modelling. The results showed that the niche width model of circumneutral pH was most important in predicting diversity profiling (i.e., α- and β-diversity) for both plants and microbes, while niche width of precipitation and temperature showed both direct and indirect importance for microbe and plant biodiversity, respectively. Because the current niche width model neglects several scenarios related to taxon and environmental attributes, it still needs to be treated with caution in predicting biodiversity trends.</div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">32299139</PMID><DateRevised><Year>2020</Year><Month>08</Month><Day>26</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1365-294X</ISSN><JournalIssue CitedMedium="Internet"><Volume>29</Volume><Issue>10</Issue><PubDate><Year>2020</Year><Month>05</Month></PubDate></JournalIssue><Title>Molecular ecology</Title><ISOAbbreviation>Mol Ecol</ISOAbbreviation></Journal><ArticleTitle>Niche width of above- and below-ground organisms varied in predicting biodiversity profiling along a latitudinal gradient.</ArticleTitle><Pagination><MedlinePgn>1890-1902</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/mec.15441</ELocationID><Abstract><AbstractText>Biodiversity is the foundation of all ecosystems across the planet, and having a better understanding of its global distribution mechanism could be important for biodiversity conservation under global change. A niche width model, combined with metabolic theory, has successfully predicted the increase of α-diversity and decrease of β-diversity in the below-ground microbial community along an altitudinal mountain gradient. In this study, we evaluated this niche width model of above-ground plants (mainly trees and shrubs) and below-ground bulk soil microbial communities (i.e., bacteria and archaea) along a latitudinal gradient of forests in China. The niche widths of both plants and microbes increased with increasing temperature and precipitation, and with proximity to circumneutral pH. However, the α- and β-diversities (observed richness and Bray-Curtis dissimilarity, respectively) could not be accurately predicted by a single niche width model alone, either temperature, precipitation or pH. Considering the interactions among different niche width models, all three niche width models were combined to predict biodiversity at the community level using structural equation modelling. The results showed that the niche width model of circumneutral pH was most important in predicting diversity profiling (i.e., α- and β-diversity) for both plants and microbes, while niche width of precipitation and temperature showed both direct and indirect importance for microbe and plant biodiversity, respectively. Because the current niche width model neglects several scenarios related to taxon and environmental attributes, it still needs to be treated with caution in predicting biodiversity trends.</AbstractText><CopyrightInformation>© 2020 John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Feng</LastName><ForeName>Kai</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Shang</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wei</LastName><ForeName>Ziyan</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Institute for Marine Science and Technology, Shandong University, Qingdao, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Zhujun</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Zhaojing</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Institute for Marine Science and Technology, Shandong University, Qingdao, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wu</LastName><ForeName>Yueni</ForeName><Initials>Y</Initials><Identifier Source="ORCID">0000-0002-2087-2952</Identifier><AffiliationInfo><Affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Yuguang</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>The Key Laboratory of Forest Ecology and Environment of State Forestry Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Deng</LastName><ForeName>Ye</ForeName><Initials>Y</Initials><Identifier Source="ORCID">0000-0002-7584-0632</Identifier><AffiliationInfo><Affiliation>CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Institute for Marine Science and Technology, Shandong University, Qingdao, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>05</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Mol Ecol</MedlineTA><NlmUniqueID>9214478</NlmUniqueID><ISSNLinking>0962-1083</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">above- and below-ground ecology</Keyword><Keyword MajorTopicYN="Y">biodiversity profiling</Keyword><Keyword MajorTopicYN="Y">biogeographical distribution</Keyword><Keyword MajorTopicYN="Y">forest ecosystem</Keyword><Keyword MajorTopicYN="Y">niche width model</Keyword><Keyword MajorTopicYN="Y">plants and microbes</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>06</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>04</Month><Day>01</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>04</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>4</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>4</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>4</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32299139</ArticleId><ArticleId IdType="doi">10.1111/mec.15441</ArticleId></ArticleIdList><ReferenceList><Title>REFERENCES</Title><Reference><Citation>Albrecht, J., Classen, A., Vollstädt, M. 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