Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change. Issue 1 (28th November 2019)

• Record Type: Journal Article
• Authors: Ahrens, Collin W.; Andrew, Margaret E.; Mazanec, Richard A.; Ruthrof, Katinka X.; Challis, Anthea; Hardy, Giles; Byrne, Margaret; Tissue, David T.; Rymer, Paul D.
• Is Part Of: Ecology and evolution. Volume 10:Issue 1(2020)
• Page Start: 232
• Page End: 248
• Publication Date: 2019-11-28
• Subjects: climate adaptation -- Corymbia calophylla -- general additive models -- heritability -- intraspecific variation -- trait coordination; Ecology -- Periodicals; Evolution -- Periodicals; 577.05
• DOI: 10.1002/ece3.5890
• Languages: English
• ISSNs: 2045-7758

Abstract

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), δ 13 C (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% (δ 13 C) or as much as 30% (PRI)). Some trait correlations were predicted to break down in the future (SLA:NCONC, δ 13 C: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. Abstract : We tested whether functional traits of an important tree species in southwestern Australia were genetically determined and able to undergo selection. Our results suggest that some traits are heritable (Water Use Efficiency) while others are not (SLA), indicating that in the future, under different climates, selection will differentially effect traits. Therefore, it is likely that current trait combinations will change with climate.