Intraspecific trait variation across elevation predicts a widespread tree species' climate niche and range limits.
Identifieur interne : 000308 ( Main/Exploration ); précédent : 000307; suivant : 000309Intraspecific trait variation across elevation predicts a widespread tree species' climate niche and range limits.
Auteurs : Michael E. Van Nuland ; John B. Vincent ; Ian M. Ware ; Liam O. Mueller ; Shannon L J. Bayliss ; Kendall K. Beals ; Jennifer A. Schweitzer ; Joseph K. BaileySource :
- Ecology and evolution [ 2045-7758 ] ; 2020.
Abstract
Global change is widely altering environmental conditions which makes accurately predicting species range limits across natural landscapes critical for conservation and management decisions. If climate pressures along elevation gradients influence the distribution of phenotypic and genetic variation of plant functional traits, then such trait variation may be informative of the selective mechanisms and adaptations that help define climatic niche limits. Using extensive field surveys along 16 elevation transects and a large common garden experiment, we tested whether functional trait variation could predict the climatic niche of a widespread tree species (Populus angustifolia) with a double quantile regression approach. We show that intraspecific variation in plant size, growth, and leaf morphology corresponds with the species' total climate range and certain climatic limits related to temperature and moisture extremes. Moreover, we find evidence of genetic clines and phenotypic plasticity at environmental boundaries, which we use to create geographic predictions of trait variation and maximum values due to climatic constraints across the western US. Overall, our findings show the utility of double quantile regressions for connecting species distributions and climate gradients through trait-based mechanisms. We highlight how new approaches like ours that incorporate genetic variation in functional traits and their response to climate gradients will lead to a better understanding of plant distributions as well as identifying populations anticipated to be maladapted to future environments.
DOI: 10.1002/ece3.5969
PubMed: 32489616
PubMed Central: PMC7244802
Affiliations:
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Van Nuland</name><affiliation><nlm:affiliation>Department of Biology Stanford University Stanford CA USA.</nlm:affiliation><wicri:noCountry code="no comma">Department of Biology Stanford University Stanford CA USA.</wicri:noCountry></affiliation></author><author><name sortKey="Vincent, John B" sort="Vincent, John B" uniqKey="Vincent J" first="John B" last="Vincent">John B. Vincent</name><affiliation><nlm:affiliation>School of Environmental and Forest Sciences University of Washington Seattle WA USA.</nlm:affiliation><wicri:noCountry code="no comma">School of Environmental and Forest Sciences University of Washington Seattle WA USA.</wicri:noCountry></affiliation></author><author><name sortKey="Ware, Ian M" sort="Ware, Ian M" uniqKey="Ware I" first="Ian M" last="Ware">Ian M. Ware</name><affiliation><nlm:affiliation>Institute of Pacific Islands Forestry USDA Forest Service Pacific Southwest Research Station Hilo HI USA.</nlm:affiliation><wicri:noCountry code="no comma">Institute of Pacific Islands Forestry USDA Forest Service Pacific Southwest Research Station Hilo HI USA.</wicri:noCountry></affiliation></author><author><name sortKey="Mueller, Liam O" sort="Mueller, Liam O" uniqKey="Mueller L" first="Liam O" last="Mueller">Liam O. Mueller</name><affiliation><nlm:affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</nlm:affiliation><wicri:noCountry code="no comma">Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</wicri:noCountry></affiliation></author><author><name sortKey="Bayliss, Shannon L J" sort="Bayliss, Shannon L J" uniqKey="Bayliss S" first="Shannon L J" last="Bayliss">Shannon L J. Bayliss</name><affiliation><nlm:affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</nlm:affiliation><wicri:noCountry code="no comma">Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</wicri:noCountry></affiliation></author><author><name sortKey="Beals, Kendall K" sort="Beals, Kendall K" uniqKey="Beals K" first="Kendall K" last="Beals">Kendall K. Beals</name><affiliation><nlm:affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</nlm:affiliation><wicri:noCountry code="no comma">Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</wicri:noCountry></affiliation></author><author><name sortKey="Schweitzer, Jennifer A" sort="Schweitzer, Jennifer A" uniqKey="Schweitzer J" first="Jennifer A" last="Schweitzer">Jennifer A. Schweitzer</name><affiliation><nlm:affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</nlm:affiliation><wicri:noCountry code="no comma">Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</wicri:noCountry></affiliation></author><author><name sortKey="Bailey, Joseph K" sort="Bailey, Joseph K" uniqKey="Bailey J" first="Joseph K" last="Bailey">Joseph K. Bailey</name><affiliation><nlm:affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</nlm:affiliation><wicri:noCountry code="no comma">Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</wicri:noCountry></affiliation></author></analytic><series><title level="j">Ecology and evolution</title><idno type="ISSN">2045-7758</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">Global change is widely altering environmental conditions which makes accurately predicting species range limits across natural landscapes critical for conservation and management decisions. If climate pressures along elevation gradients influence the distribution of phenotypic and genetic variation of plant functional traits, then such trait variation may be informative of the selective mechanisms and adaptations that help define climatic niche limits. Using extensive field surveys along 16 elevation transects and a large common garden experiment, we tested whether functional trait variation could predict the climatic niche of a widespread tree species (<i>Populus angustifolia</i>) with a double quantile regression approach. We show that intraspecific variation in plant size, growth, and leaf morphology corresponds with the species' total climate range and certain climatic limits related to temperature and moisture extremes. Moreover, we find evidence of genetic clines and phenotypic plasticity at environmental boundaries, which we use to create geographic predictions of trait variation and maximum values due to climatic constraints across the western US. Overall, our findings show the utility of double quantile regressions for connecting species distributions and climate gradients through trait-based mechanisms. We highlight how new approaches like ours that incorporate genetic variation in functional traits and their response to climate gradients will lead to a better understanding of plant distributions as well as identifying populations anticipated to be maladapted to future environments.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">32489616</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>28</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">2045-7758</ISSN><JournalIssue CitedMedium="Print"><Volume>10</Volume><Issue>9</Issue><PubDate><Year>2020</Year><Month>May</Month></PubDate></JournalIssue><Title>Ecology and evolution</Title><ISOAbbreviation>Ecol Evol</ISOAbbreviation></Journal><ArticleTitle>Intraspecific trait variation across elevation predicts a widespread tree species' climate niche and range limits.</ArticleTitle><Pagination><MedlinePgn>3856-3867</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1002/ece3.5969</ELocationID><Abstract><AbstractText>Global change is widely altering environmental conditions which makes accurately predicting species range limits across natural landscapes critical for conservation and management decisions. If climate pressures along elevation gradients influence the distribution of phenotypic and genetic variation of plant functional traits, then such trait variation may be informative of the selective mechanisms and adaptations that help define climatic niche limits. Using extensive field surveys along 16 elevation transects and a large common garden experiment, we tested whether functional trait variation could predict the climatic niche of a widespread tree species (<i>Populus angustifolia</i>) with a double quantile regression approach. We show that intraspecific variation in plant size, growth, and leaf morphology corresponds with the species' total climate range and certain climatic limits related to temperature and moisture extremes. Moreover, we find evidence of genetic clines and phenotypic plasticity at environmental boundaries, which we use to create geographic predictions of trait variation and maximum values due to climatic constraints across the western US. Overall, our findings show the utility of double quantile regressions for connecting species distributions and climate gradients through trait-based mechanisms. We highlight how new approaches like ours that incorporate genetic variation in functional traits and their response to climate gradients will lead to a better understanding of plant distributions as well as identifying populations anticipated to be maladapted to future environments.</AbstractText><CopyrightInformation>© 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Van Nuland</LastName><ForeName>Michael E</ForeName><Initials>ME</Initials><Identifier Source="ORCID">https://orcid.org/0000-0002-3333-0212</Identifier><AffiliationInfo><Affiliation>Department of Biology Stanford University Stanford CA USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Vincent</LastName><ForeName>John B</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>School of Environmental and Forest Sciences University of Washington Seattle WA USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ware</LastName><ForeName>Ian M</ForeName><Initials>IM</Initials><Identifier Source="ORCID">https://orcid.org/0000-0002-2101-5653</Identifier><AffiliationInfo><Affiliation>Institute of Pacific Islands Forestry USDA Forest Service Pacific Southwest Research Station Hilo HI USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mueller</LastName><ForeName>Liam O</ForeName><Initials>LO</Initials><AffiliationInfo><Affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bayliss</LastName><ForeName>Shannon L J</ForeName><Initials>SLJ</Initials><AffiliationInfo><Affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Beals</LastName><ForeName>Kendall K</ForeName><Initials>KK</Initials><AffiliationInfo><Affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Schweitzer</LastName><ForeName>Jennifer A</ForeName><Initials>JA</Initials><AffiliationInfo><Affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bailey</LastName><ForeName>Joseph K</ForeName><Initials>JK</Initials><AffiliationInfo><Affiliation>Department of Ecology and Evolutionary Biology University of Tennessee Knoxville TN USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>04</Month><Day>17</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Ecol Evol</MedlineTA><NlmUniqueID>101566408</NlmUniqueID><ISSNLinking>2045-7758</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">adaptation</Keyword><Keyword MajorTopicYN="N">climate range</Keyword><Keyword MajorTopicYN="N">ecological niche models</Keyword><Keyword MajorTopicYN="N">elevation gradient</Keyword><Keyword MajorTopicYN="N">functional traits</Keyword><Keyword MajorTopicYN="N">intraspecific variation</Keyword><Keyword MajorTopicYN="N">phenotypic plasticity</Keyword><Keyword MajorTopicYN="N">quantile regression</Keyword></KeywordList><CoiStatement>None declared.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>08</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>11</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>12</Month><Day>05</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>6</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>6</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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