Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change.
Identifieur interne : 000086 ( Main/Exploration ); précédent : 000085; suivant : 000087Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change.
Auteurs : Collin W. Ahrens ; Margaret E. Andrew ; Richard A. Mazanec ; Katinka X. Ruthrof ; Anthea Challis ; Giles Hardy ; Margaret Byrne ; David T. Tissue ; Paul D. RymerSource :
- Ecology and evolution [ 2045-7758 ] ; 2020.
Abstract
Climate change is testing the resilience of forests worldwide pushing physiological tolerance to climatic extremes. Plant functional traits have been shown to be adapted to climate and have evolved patterns of trait correlations (similar patterns of distribution) and coordinations (mechanistic trade-off). We predicted that traits would differentiate between populations associated with climatic gradients, suggestive of adaptive variation, and correlated traits would adapt to future climate scenarios in similar ways.We measured genetically determined trait variation and described patterns of correlation for seven traits: photochemical reflectance index (PRI), normalized difference vegetation index (NDVI), leaf size (LS), specific leaf area (SLA), δ13C (integrated water-use efficiency, WUE), nitrogen concentration (NCONC), and wood density (WD). All measures were conducted in an experimental plantation on 960 trees sourced from 12 populations of a key forest canopy species in southwestern Australia.Significant differences were found between populations for all traits. Narrow-sense heritability was significant for five traits (0.15-0.21), indicating that natural selection can drive differentiation; however, SLA (0.08) and PRI (0.11) were not significantly heritable. Generalized additive models predicted trait values across the landscape for current and future climatic conditions (>90% variance). The percent change differed markedly among traits between current and future predictions (differing as little as 1.5% (δ13C) or as much as 30% (PRI)). Some trait correlations were predicted to break down in the future (SLA:NCONC, δ13C:PRI, and NCONC:WD).Synthesis: Our results suggest that traits have contrasting genotypic patterns and will be subjected to different climate selection pressures, which may lower the working optimum for functional traits. Further, traits are independently associated with different climate factors, indicating that some trait correlations may be disrupted in the future. Genetic constraints and trait correlations may limit the ability for functional traits to adapt to climate change.
DOI: 10.1002/ece3.5890
PubMed: 31988725
PubMed Central: PMC6972804
Affiliations:
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Andrew</name><affiliation><nlm:affiliation>Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</nlm:affiliation><wicri:noCountry code="no comma">Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Mazanec, Richard A" sort="Mazanec, Richard A" uniqKey="Mazanec R" first="Richard A" last="Mazanec">Richard A. Mazanec</name><affiliation><nlm:affiliation>Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.</nlm:affiliation><wicri:noCountry code="subField">Conservation and Attractions Kensington WA Australia</wicri:noCountry></affiliation></author><author><name sortKey="Ruthrof, Katinka X" sort="Ruthrof, Katinka X" uniqKey="Ruthrof K" first="Katinka X" last="Ruthrof">Katinka X. Ruthrof</name><affiliation><nlm:affiliation>Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.</nlm:affiliation><wicri:noCountry code="subField">Conservation and Attractions Kensington WA Australia</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</nlm:affiliation><wicri:noCountry code="no comma">Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Challis, Anthea" sort="Challis, Anthea" uniqKey="Challis A" first="Anthea" last="Challis">Anthea Challis</name><affiliation><nlm:affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</nlm:affiliation><wicri:noCountry code="no comma">Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Hardy, Giles" sort="Hardy, Giles" uniqKey="Hardy G" first="Giles" last="Hardy">Giles Hardy</name><affiliation><nlm:affiliation>Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</nlm:affiliation><wicri:noCountry code="no comma">Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Byrne, Margaret" sort="Byrne, Margaret" uniqKey="Byrne M" first="Margaret" last="Byrne">Margaret Byrne</name><affiliation><nlm:affiliation>Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.</nlm:affiliation><wicri:noCountry code="subField">Conservation and Attractions Kensington WA Australia</wicri:noCountry></affiliation></author><author><name sortKey="Tissue, David T" sort="Tissue, David T" uniqKey="Tissue D" first="David T" last="Tissue">David T. 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Rymer</name><affiliation><nlm:affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</nlm:affiliation><wicri:noCountry code="no comma">Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</wicri:noCountry></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:31988725</idno><idno type="pmid">31988725</idno><idno type="doi">10.1002/ece3.5890</idno><idno type="pmc">PMC6972804</idno><idno type="wicri:Area/Main/Corpus">000290</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000290</idno><idno type="wicri:Area/Main/Curation">000290</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000290</idno><idno type="wicri:Area/Main/Exploration">000290</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change.</title><author><name sortKey="Ahrens, Collin W" sort="Ahrens, Collin W" uniqKey="Ahrens C" first="Collin W" last="Ahrens">Collin W. Ahrens</name><affiliation><nlm:affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</nlm:affiliation><wicri:noCountry code="no comma">Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Andrew, Margaret E" sort="Andrew, Margaret E" uniqKey="Andrew M" first="Margaret E" last="Andrew">Margaret E. Andrew</name><affiliation><nlm:affiliation>Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</nlm:affiliation><wicri:noCountry code="no comma">Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Mazanec, Richard A" sort="Mazanec, Richard A" uniqKey="Mazanec R" first="Richard A" last="Mazanec">Richard A. Mazanec</name><affiliation><nlm:affiliation>Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.</nlm:affiliation><wicri:noCountry code="subField">Conservation and Attractions Kensington WA Australia</wicri:noCountry></affiliation></author><author><name sortKey="Ruthrof, Katinka X" sort="Ruthrof, Katinka X" uniqKey="Ruthrof K" first="Katinka X" last="Ruthrof">Katinka X. Ruthrof</name><affiliation><nlm:affiliation>Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.</nlm:affiliation><wicri:noCountry code="subField">Conservation and Attractions Kensington WA Australia</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</nlm:affiliation><wicri:noCountry code="no comma">Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Challis, Anthea" sort="Challis, Anthea" uniqKey="Challis A" first="Anthea" last="Challis">Anthea Challis</name><affiliation><nlm:affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</nlm:affiliation><wicri:noCountry code="no comma">Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Hardy, Giles" sort="Hardy, Giles" uniqKey="Hardy G" first="Giles" last="Hardy">Giles Hardy</name><affiliation><nlm:affiliation>Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</nlm:affiliation><wicri:noCountry code="no comma">Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Byrne, Margaret" sort="Byrne, Margaret" uniqKey="Byrne M" first="Margaret" last="Byrne">Margaret Byrne</name><affiliation><nlm:affiliation>Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.</nlm:affiliation><wicri:noCountry code="subField">Conservation and Attractions Kensington WA Australia</wicri:noCountry></affiliation></author><author><name sortKey="Tissue, David T" sort="Tissue, David T" uniqKey="Tissue D" first="David T" last="Tissue">David T. Tissue</name><affiliation><nlm:affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</nlm:affiliation><wicri:noCountry code="no comma">Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</wicri:noCountry></affiliation></author><author><name sortKey="Rymer, Paul D" sort="Rymer, Paul D" uniqKey="Rymer P" first="Paul D" last="Rymer">Paul D. Rymer</name><affiliation><nlm:affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</nlm:affiliation><wicri:noCountry code="no comma">Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</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">Climate change is testing the resilience of forests worldwide pushing physiological tolerance to climatic extremes. Plant functional traits have been shown to be adapted to climate and have evolved patterns of trait correlations (similar patterns of distribution) and coordinations (mechanistic trade-off). We predicted that traits would differentiate between populations associated with climatic gradients, suggestive of adaptive variation, and correlated traits would adapt to future climate scenarios in similar ways.We measured genetically determined trait variation and described patterns of correlation for seven traits: photochemical reflectance index (PRI), normalized difference vegetation index (NDVI), leaf size (LS), specific leaf area (SLA), δ<sup>13</sup>C (integrated water-use efficiency, WUE), nitrogen concentration (N<sub>CONC</sub>), and wood density (WD). All measures were conducted in an experimental plantation on 960 trees sourced from 12 populations of a key forest canopy species in southwestern Australia.Significant differences were found between populations for all traits. Narrow-sense heritability was significant for five traits (0.15-0.21), indicating that natural selection can drive differentiation; however, SLA (0.08) and PRI (0.11) were not significantly heritable. Generalized additive models predicted trait values across the landscape for current and future climatic conditions (>90% variance). The percent change differed markedly among traits between current and future predictions (differing as little as 1.5% (δ<sup>13</sup>C) or as much as 30% (PRI)). Some trait correlations were predicted to break down in the future (SLA:N<sub>CONC</sub>, δ<sup>13</sup>C:PRI, and N<sub>CONC</sub>:WD).Synthesis: Our results suggest that traits have contrasting genotypic patterns and will be subjected to different climate selection pressures, which may lower the working optimum for functional traits. Further, traits are independently associated with different climate factors, indicating that some trait correlations may be disrupted in the future. Genetic constraints and trait correlations may limit the ability for functional traits to adapt to climate change.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">31988725</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>29</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">2045-7758</ISSN><JournalIssue CitedMedium="Print"><Volume>10</Volume><Issue>1</Issue><PubDate><Year>2020</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Ecology and evolution</Title><ISOAbbreviation>Ecol Evol</ISOAbbreviation></Journal><ArticleTitle>Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change.</ArticleTitle><Pagination><MedlinePgn>232-248</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1002/ece3.5890</ELocationID><Abstract><AbstractText>Climate change is testing the resilience of forests worldwide pushing physiological tolerance to climatic extremes. Plant functional traits have been shown to be adapted to climate and have evolved patterns of trait correlations (similar patterns of distribution) and coordinations (mechanistic trade-off). We predicted that traits would differentiate between populations associated with climatic gradients, suggestive of adaptive variation, and correlated traits would adapt to future climate scenarios in similar ways.We measured genetically determined trait variation and described patterns of correlation for seven traits: photochemical reflectance index (PRI), normalized difference vegetation index (NDVI), leaf size (LS), specific leaf area (SLA), δ<sup>13</sup>C (integrated water-use efficiency, WUE), nitrogen concentration (N<sub>CONC</sub>), and wood density (WD). All measures were conducted in an experimental plantation on 960 trees sourced from 12 populations of a key forest canopy species in southwestern Australia.Significant differences were found between populations for all traits. Narrow-sense heritability was significant for five traits (0.15-0.21), indicating that natural selection can drive differentiation; however, SLA (0.08) and PRI (0.11) were not significantly heritable. Generalized additive models predicted trait values across the landscape for current and future climatic conditions (>90% variance). The percent change differed markedly among traits between current and future predictions (differing as little as 1.5% (δ<sup>13</sup>C) or as much as 30% (PRI)). Some trait correlations were predicted to break down in the future (SLA:N<sub>CONC</sub>, δ<sup>13</sup>C:PRI, and N<sub>CONC</sub>:WD).Synthesis: Our results suggest that traits have contrasting genotypic patterns and will be subjected to different climate selection pressures, which may lower the working optimum for functional traits. Further, traits are independently associated with different climate factors, indicating that some trait correlations may be disrupted in the future. Genetic constraints and trait correlations may limit the ability for functional traits to adapt to climate change.</AbstractText><CopyrightInformation>© 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ahrens</LastName><ForeName>Collin W</ForeName><Initials>CW</Initials><Identifier Source="ORCID">https://orcid.org/0000-0002-0614-9928</Identifier><AffiliationInfo><Affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Andrew</LastName><ForeName>Margaret E</ForeName><Initials>ME</Initials><AffiliationInfo><Affiliation>Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mazanec</LastName><ForeName>Richard A</ForeName><Initials>RA</Initials><AffiliationInfo><Affiliation>Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ruthrof</LastName><ForeName>Katinka X</ForeName><Initials>KX</Initials><AffiliationInfo><Affiliation>Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Challis</LastName><ForeName>Anthea</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hardy</LastName><ForeName>Giles</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Byrne</LastName><ForeName>Margaret</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tissue</LastName><ForeName>David T</ForeName><Initials>DT</Initials><AffiliationInfo><Affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rymer</LastName><ForeName>Paul D</ForeName><Initials>PD</Initials><Identifier Source="ORCID">https://orcid.org/0000-0003-0988-4351</Identifier><AffiliationInfo><Affiliation>Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><DataBankList CompleteYN="Y"><DataBank><DataBankName>Dryad</DataBankName><AccessionNumberList><AccessionNumber>10.5061/dryad.nk98sf7pv</AccessionNumber></AccessionNumberList></DataBank></DataBankList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>11</Month><Day>28</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">Corymbia calophylla</Keyword><Keyword MajorTopicYN="N">climate adaptation</Keyword><Keyword MajorTopicYN="N">general additive models</Keyword><Keyword MajorTopicYN="N">heritability</Keyword><Keyword MajorTopicYN="N">intraspecific variation</Keyword><Keyword MajorTopicYN="N">trait coordination</Keyword></KeywordList><CoiStatement>None declared.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>09</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>10</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>11</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>1</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>1</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>1</Month><Day>29</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31988725</ArticleId><ArticleId 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Ahrens</name><name sortKey="Andrew, Margaret E" sort="Andrew, Margaret E" uniqKey="Andrew M" first="Margaret E" last="Andrew">Margaret E. Andrew</name><name sortKey="Byrne, Margaret" sort="Byrne, Margaret" uniqKey="Byrne M" first="Margaret" last="Byrne">Margaret Byrne</name><name sortKey="Challis, Anthea" sort="Challis, Anthea" uniqKey="Challis A" first="Anthea" last="Challis">Anthea Challis</name><name sortKey="Hardy, Giles" sort="Hardy, Giles" uniqKey="Hardy G" first="Giles" last="Hardy">Giles Hardy</name><name sortKey="Mazanec, Richard A" sort="Mazanec, Richard A" uniqKey="Mazanec R" first="Richard A" last="Mazanec">Richard A. Mazanec</name><name sortKey="Ruthrof, Katinka X" sort="Ruthrof, Katinka X" uniqKey="Ruthrof K" first="Katinka X" last="Ruthrof">Katinka X. Ruthrof</name><name sortKey="Rymer, Paul D" sort="Rymer, Paul D" uniqKey="Rymer P" first="Paul D" last="Rymer">Paul D. 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