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Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change

1. 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 tr...

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Autores principales: Ahrens, Collin W., Andrew, Margaret E., Mazanec, Richard A., Ruthrof, Katinka X., Challis, Anthea, Hardy, Giles, Byrne, Margaret, Tissue, David T., Rymer, Paul D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972804/
https://www.ncbi.nlm.nih.gov/pubmed/31988725
http://dx.doi.org/10.1002/ece3.5890
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author Ahrens, Collin W.
Andrew, Margaret E.
Mazanec, Richard A.
Ruthrof, Katinka X.
Challis, Anthea
Hardy, Giles
Byrne, Margaret
Tissue, David T.
Rymer, Paul D.
author_facet Ahrens, Collin W.
Andrew, Margaret E.
Mazanec, Richard A.
Ruthrof, Katinka X.
Challis, Anthea
Hardy, Giles
Byrne, Margaret
Tissue, David T.
Rymer, Paul D.
author_sort Ahrens, Collin W.
collection PubMed
description 1. 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. 2. 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(13)C (integrated water‐use efficiency, WUE), nitrogen concentration (N(CONC)), 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. 3. 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(13)C) or as much as 30% (PRI)). Some trait correlations were predicted to break down in the future (SLA:N(CONC), δ(13)C:PRI, and N(CONC):WD). 4. 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.
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spelling pubmed-69728042020-01-27 Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change Ahrens, Collin W. Andrew, Margaret E. Mazanec, Richard A. Ruthrof, Katinka X. Challis, Anthea Hardy, Giles Byrne, Margaret Tissue, David T. Rymer, Paul D. Ecol Evol Original Research 1. 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. 2. 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(13)C (integrated water‐use efficiency, WUE), nitrogen concentration (N(CONC)), 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. 3. 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(13)C) or as much as 30% (PRI)). Some trait correlations were predicted to break down in the future (SLA:N(CONC), δ(13)C:PRI, and N(CONC):WD). 4. 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. John Wiley and Sons Inc. 2019-11-28 /pmc/articles/PMC6972804/ /pubmed/31988725 http://dx.doi.org/10.1002/ece3.5890 Text en © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Ahrens, Collin W.
Andrew, Margaret E.
Mazanec, Richard A.
Ruthrof, Katinka X.
Challis, Anthea
Hardy, Giles
Byrne, Margaret
Tissue, David T.
Rymer, Paul D.
Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change
title Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change
title_full Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change
title_fullStr Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change
title_full_unstemmed Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change
title_short Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change
title_sort plant functional traits differ in adaptability and are predicted to be differentially affected by climate change
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972804/
https://www.ncbi.nlm.nih.gov/pubmed/31988725
http://dx.doi.org/10.1002/ece3.5890
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