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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.
Afiliação
  • Ahrens CW; Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.
  • Andrew ME; Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.
  • Mazanec RA; Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.
  • Ruthrof KX; Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.
  • Challis A; Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.
  • Hardy G; Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.
  • Byrne M; Centre for Phytophthora Science and Management Environmental & Conservation Sciences Murdoch University Murdoch WA Australia.
  • Tissue DT; Biodiversity and Conservation Science Western Australian Department of Biodiversity, Conservation and Attractions Kensington WA Australia.
  • Rymer PD; Hawkesbury Institute for the Environment Western Sydney University Penrith NSW Australia.
Ecol Evol ; 10(1): 232-248, 2020 Jan.
Article em En | MEDLINE | ID: mdl-31988725
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 (SLANCONC, δ13CPRI, and NCONCWD).

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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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article