ArticlePlants (Basel, Switzerland)2024
Leaf Functional Traits and Their Influencing Factors in Six Typical Vegetation Communities.
Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Plant Ecological Strategies in Relation to Environmental Factors Along Elevational Gradients on Gongga Mount.Plants (Basel, Switzerland) · 2026Article
- Quantifying Annual Photon Absorption in 55 Bamboo Species: A Standardized Modeling Approach Using Peak-Season Leaf Optical Traits and Long-Term Radiation Data.Plants (Basel, Switzerland) · 2026Article
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Authors and funding
5 authors.
Funding
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
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Registered trials
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