Back to Search
Start Over
Variations in Leaf Functional Traits and Photosynthetic Parameters of Cunninghamia lanceolata Provenances.
- Source :
- Forests (19994907); Sep2023, Vol. 14 Issue 9, p1708, 12p
- Publication Year :
- 2023
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- CHINA fir
CLIMATE change
LEAF area
ACCLIMATIZATION
Subjects
Details
- Language :
- English
- ISSN :
- 19994907
- Volume :
- 14
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Forests (19994907)
- Publication Type :
- Academic Journal
- Accession number :
- 172419482
- Full Text :
- https://doi.org/10.3390/f14091708