ArticleBMC plant biology2023
Intraspecific variations in leaf functional traits of Cunninghamia lanceolata provenances.
Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 37 citations in OpenAlex.
- Impact of canopy vertical height on leaf functional traits in a Cunninghamia lanceolata common garden experiment in Dagangshan.Scientific reports · 2026Article
- Xylem anatomy differentiation explains coordinated variation of economic and hydraulic traits in urban tree species.BMC plant biology · 2025Article
- Intra-Specific Variation and Correlation of Functional Traits inPlants (Basel, Switzerland) · 2025Article
- Geographical variation and the role of climate and soil on phenotypic traits of Calamus rhabdocladus across provenances in China.BMC plant biology · 2025Article
- Provenance differences and factors influencing transpiration ofFrontiers in plant science · 2025Article
- The impact of environmental factors on phenotypic diversity of natural populations ofFrontiers in plant science · 2025Article
- Genetic Evaluation of Water Use Efficiency and Nutrient Use Efficiency inPlants (Basel, Switzerland) · 2024Article
- Variations and trade-offs in leaf and culm functional traits among 77 woody bamboo species.BMC plant biology · 2024Article
- Geographical variation in functional traits of leaves of Caryopteris mongholica and the role of climate.BMC plant biology · 2023Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundStudies on intra-specific variability in leaf functional traits is important to evaluate adaptation of the species to predicted climate change, and to develop long-term conservation strategy. The main objectives were to investigate the relationship between the functional traits leaves and C, N, P stoichiometry of Chinese fir from different geographical provenances and their relationship with the main environmental factors of provenance.
resultsIn this study, we measured 12 leaf functional traits on 36-year-old Cunninghamia lanceolata trees from 13 provenances. Analysis of variance (ANOVA) was performed to examine the variability. Redundancy analysis (RA) was computed to examine the relationship between geo-climatic factors of provenance origin and leaf functional traits while Pearson's correlation coefficient was computed to assess inter-trait correlations. The results showed statistically significant differences (P < 0.01) in intraspecific leaf traits among provenances, except leaf P content. The relationships among leaf traits are consistent with the general trend observed in the leaf economic spectrum. Mean annual temperature appeared to be a key factor that influences intraspecific leaf traits variability compared to mean annual precipitation.
conclusionThese results provide useful insights about adaptation of leaf trait of Chinese fir in a changing climatic condition. Thus, our findings shed light on the importance of interspecific trait variability in Chinese fir and the potential effect of climate change.
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