Variations in Leaf Functional Traits and Photosynthetic Parameters of Cunninghamia lanceolata Provenances

Studying the variation and correlation of traits among provenances is of great significance for the selection of excellent provenances and the interpretation of the acclimation mechanisms of different provenances in the context of climate change. The photosynthetic characteristic parameters and leaf functional traits of 18 Cunninghamia lanceolata provenances in a common garden were measured. Redundancy analysis combined with Pearson analysis was used to analyze the relationship among leaf photosynthetic characteristics, functional traits, and geo-climatic conditions. The results showed the following: (1) Significant differences in functional traits and photosynthetic parameters among provenances were observed, and the gsw and LDMC have the greatest variation as photosynthetic indicators and functional traits, respectively, because of the acclimation ability. (2) Leaf functional traits can better reflect the variation of photosynthetic characteristic parameters. The correlation between most photosynthetic characteristic parameters and functional traits reached a significant level (p < 0.05), and the leaf dry weight (LDW) and specific leaf area (SLA) are key trait factors that determine photosynthetic characteristic parameters. (3) Precipitation appeared to be a key factor that influences intraspecific leaf traits' variability compared to temperature. This study can explain how provenances acclimate to the environment and which provenances are more suitable for planting in the study area under the context of climate change from a mechanistic perspective.

Automated summary

Studying the variation and correlation of traits among provenances is important for selecting excellent provenances and understanding the acclimation mechanisms under climate change. This study found significant differences in functional traits and photosynthetic parameters among Cunninghamia lanceolata provenances, and that leaf functional traits can better reflect the variation of photosynthetic characteristic parameters. Precipitation appeared to be a key factor influencing intraspecific leaf traits' variability.