Prediction of the potential geographic distribution of the ectomycorrhizal mushroom Tricholoma matsutake under multiple climate change scenarios.
Identifieur interne : 000D15 ( Main/Corpus ); précédent : 000D14; suivant : 000D16Prediction of the potential geographic distribution of the ectomycorrhizal mushroom Tricholoma matsutake under multiple climate change scenarios.
Auteurs : Yanlong Guo ; Xin Li ; Zefang Zhao ; Haiyan Wei ; Bei Gao ; Wei GuSource :
- Scientific reports [ 2045-2322 ] ; 2017.
English descriptors
- KwdEn :
- MESH :
- physiology : Mycorrhizae, Tricholoma.
- China, Climate Change, Ecosystem, Geography, Global Warming, Probability.
Abstract
Effective conservation and utilization strategies for natural biological resources require a clear understanding of the geographic distribution of the target species. Tricholoma matsutake is an ectomycorrhizal (ECM) mushroom with high ecological and economic value. In this study, the potential geographic distribution of T. matsutake under current conditions in China was simulated using MaxEnt software based on species presence data and 24 environmental variables. The future distributions of T. matsutake in the 2050s and 2070s were also projected under the RCP 8.5, RCP 6, RCP 4.5 and RCP 2.6 climate change emission scenarios described in the Special Report on Emissions Scenarios (SRES) by the Intergovernmental Panel on Climate Change (IPCC). The areas of marginally suitable, suitable and highly suitable habitats for T. matsutake in China were approximately 0.22 × 106 km2, 0.14 × 106 km2, and 0.11 × 106 km2, respectively. The model simulations indicated that the area of marginally suitable habitats would undergo a relatively small change under all four climate change scenarios; however, suitable habitats would significantly decrease, and highly suitable habitat would nearly disappear. Our results will be influential in the future ecological conservation and management of T. matsutake and can be used as a reference for studies on other ectomycorrhizal mushroom species.
DOI: 10.1038/srep46221
PubMed: 28393865
PubMed Central: PMC5385516
Links to Exploration step
pubmed:28393865Le document en format XML
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Beijing 100101, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhao, Zefang" sort="Zhao, Zefang" uniqKey="Zhao Z" first="Zefang" last="Zhao">Zefang Zhao</name><affiliation><nlm:affiliation>College of Tourism and Environment, Shaanxi Normal University, Xian 710119, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wei, Haiyan" sort="Wei, Haiyan" uniqKey="Wei H" first="Haiyan" last="Wei">Haiyan Wei</name><affiliation><nlm:affiliation>College of Tourism and Environment, Shaanxi Normal University, Xian 710119, China.</nlm:affiliation></affiliation></author><author><name sortKey="Gao, Bei" sort="Gao, Bei" uniqKey="Gao B" first="Bei" last="Gao">Bei Gao</name><affiliation><nlm:affiliation>College of Tourism and Environment, Shaanxi Normal University, Xian 710119, China.</nlm:affiliation></affiliation></author><author><name sortKey="Gu, Wei" sort="Gu, Wei" uniqKey="Gu W" first="Wei" last="Gu">Wei Gu</name><affiliation><nlm:affiliation>College of Life 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China.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>University of Chinese Academy of Sciences, Beijing 100049, China.</nlm:affiliation></affiliation></author><author><name sortKey="Li, Xin" sort="Li, Xin" uniqKey="Li X" first="Xin" last="Li">Xin Li</name><affiliation><nlm:affiliation>Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhao, Zefang" sort="Zhao, Zefang" uniqKey="Zhao Z" first="Zefang" last="Zhao">Zefang Zhao</name><affiliation><nlm:affiliation>College of Tourism and Environment, Shaanxi Normal University, Xian 710119, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wei, Haiyan" sort="Wei, Haiyan" uniqKey="Wei H" first="Haiyan" last="Wei">Haiyan Wei</name><affiliation><nlm:affiliation>College of Tourism and Environment, Shaanxi Normal University, Xian 710119, China.</nlm:affiliation></affiliation></author><author><name sortKey="Gao, Bei" sort="Gao, Bei" uniqKey="Gao B" first="Bei" last="Gao">Bei Gao</name><affiliation><nlm:affiliation>College of Tourism and Environment, Shaanxi Normal University, Xian 710119, China.</nlm:affiliation></affiliation></author><author><name sortKey="Gu, Wei" sort="Gu, Wei" uniqKey="Gu W" first="Wei" last="Gu">Wei Gu</name><affiliation><nlm:affiliation>College of Life Sciences, Shaanxi Normal University, Xian 710119, China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Scientific reports</title><idno type="eISSN">2045-2322</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>China (MeSH)</term><term>Climate Change (MeSH)</term><term>Ecosystem (MeSH)</term><term>Geography (MeSH)</term><term>Global Warming (MeSH)</term><term>Mycorrhizae (physiology)</term><term>Probability (MeSH)</term><term>Tricholoma (physiology)</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Mycorrhizae</term><term>Tricholoma</term></keywords><keywords scheme="MESH" xml:lang="en"><term>China</term><term>Climate Change</term><term>Ecosystem</term><term>Geography</term><term>Global Warming</term><term>Probability</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Effective conservation and utilization strategies for natural biological resources require a clear understanding of the geographic distribution of the target species. Tricholoma matsutake is an ectomycorrhizal (ECM) mushroom with high ecological and economic value. In this study, the potential geographic distribution of T. matsutake under current conditions in China was simulated using MaxEnt software based on species presence data and 24 environmental variables. The future distributions of T. matsutake in the 2050s and 2070s were also projected under the RCP 8.5, RCP 6, RCP 4.5 and RCP 2.6 climate change emission scenarios described in the Special Report on Emissions Scenarios (SRES) by the Intergovernmental Panel on Climate Change (IPCC). The areas of marginally suitable, suitable and highly suitable habitats for T. matsutake in China were approximately 0.22 × 10<sup>6</sup> km<sup>2</sup>, 0.14 × 10<sup>6</sup> km<sup>2</sup>, and 0.11 × 10<sup>6</sup> km<sup>2</sup>, respectively. The model simulations indicated that the area of marginally suitable habitats would undergo a relatively small change under all four climate change scenarios; however, suitable habitats would significantly decrease, and highly suitable habitat would nearly disappear. Our results will be influential in the future ecological conservation and management of T. matsutake and can be used as a reference for studies on other ectomycorrhizal mushroom species.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28393865</PMID><DateCompleted><Year>2018</Year><Month>11</Month><Day>26</Day></DateCompleted><DateRevised><Year>2019</Year><Month>01</Month><Day>11</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2045-2322</ISSN><JournalIssue CitedMedium="Internet"><Volume>7</Volume><PubDate><Year>2017</Year><Month>04</Month><Day>10</Day></PubDate></JournalIssue><Title>Scientific reports</Title><ISOAbbreviation>Sci Rep</ISOAbbreviation></Journal><ArticleTitle>Prediction of the potential geographic distribution of the ectomycorrhizal mushroom Tricholoma matsutake under multiple climate change scenarios.</ArticleTitle><Pagination><MedlinePgn>46221</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/srep46221</ELocationID><Abstract><AbstractText>Effective conservation and utilization strategies for natural biological resources require a clear understanding of the geographic distribution of the target species. Tricholoma matsutake is an ectomycorrhizal (ECM) mushroom with high ecological and economic value. In this study, the potential geographic distribution of T. matsutake under current conditions in China was simulated using MaxEnt software based on species presence data and 24 environmental variables. The future distributions of T. matsutake in the 2050s and 2070s were also projected under the RCP 8.5, RCP 6, RCP 4.5 and RCP 2.6 climate change emission scenarios described in the Special Report on Emissions Scenarios (SRES) by the Intergovernmental Panel on Climate Change (IPCC). The areas of marginally suitable, suitable and highly suitable habitats for T. matsutake in China were approximately 0.22 × 10<sup>6</sup> km<sup>2</sup>, 0.14 × 10<sup>6</sup> km<sup>2</sup>, and 0.11 × 10<sup>6</sup> km<sup>2</sup>, respectively. The model simulations indicated that the area of marginally suitable habitats would undergo a relatively small change under all four climate change scenarios; however, suitable habitats would significantly decrease, and highly suitable habitat would nearly disappear. Our results will be influential in the future ecological conservation and management of T. matsutake and can be used as a reference for studies on other ectomycorrhizal mushroom species.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Guo</LastName><ForeName>Yanlong</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>University of Chinese Academy of Sciences, Beijing 100049, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Xin</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhao</LastName><ForeName>Zefang</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>College of Tourism and Environment, Shaanxi Normal University, Xian 710119, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wei</LastName><ForeName>Haiyan</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>College of Tourism and Environment, Shaanxi Normal University, Xian 710119, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gao</LastName><ForeName>Bei</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>College of Tourism and Environment, Shaanxi Normal University, Xian 710119, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gu</LastName><ForeName>Wei</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>College of Life Sciences, Shaanxi Normal University, Xian 710119, 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