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Updated: Jun 13, 2025

Relating Stomatal Conductance to Leaf Functional Traits
Published on: October 12, 2015
Leaf Functional Traits and Their Influencing Factors in Six Typical Vegetation Communities
Yuting Xing1, Shiqin Deng1, Yuanyin Bai1
1Key Laboratory of Forest Ecology in Xizang Plateau of Ministry of Education, National Forest Ecosystem Observation & Research Station of Linzhi Xizang, Institute of Xizang Plateau Ecology, Xizang Agricultural and Animal Husbandry University, Nyingchi 860000, China.
Abstract:
Leaf functional traits (LFTs) have become a popular topic in ecological research in recent years. Here, we measured eight LFTs, namely leaf area (LA), specific leaf area (SLA), leaf thickness (LT), leaf dry matter content (LDMC), leaf carbon content (LCC), leaf nitrogen content (LNC), leaf phosphorus content (LPC), and leaf potassium content (LKC), in six typical vegetation communities (sclerophyllous evergreen broad-leaved forests, temperate evergreen coniferous forests, cold-temperate evergreen coniferous forests, alpine deciduous broad-leaved shrubs, alpine meadows, and alpine scree sparse vegetation) in the Chayu River Basin, southeastern Qinghai-Tibet Plateau. Our aim was to explore their relationships with evolutionary history and environmental factors by combining the RLQ and the fourth-corner method, and the method of testing phylogenetic signal. The results showed that (i) there were significant differences in the eight LFTs among the six vegetation communities; (ii) the K values of the eight LFTs were less than 1; and (iii) except for LCC, all other LFTs were more sensitive to environmental changes. Among these traits, LA was the most affected by the environmental factors, followed by LNC. It showed that the LFTs in the study were minimally influenced by phylogenetic development but significantly by environmental changes. This study further verified the ecological adaptability of plants to changes in environmental factors and provides a scientific basis for predicting the distribution and diffusion direction of plants under global change conditions.
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