Literature DB >> 29182967

The relationships between leaf economics and hydraulic traits of woody plants depend on water availability.

Qiulong Yin1, Lei Wang1, Maolin Lei1, Han Dang1, Jiaxin Quan1, Tingting Tian1, Yongfu Chai1, Ming Yue2.   

Abstract

Leaf economics and hydraulic traits are simultaneously involved in the process of trading water for CO2, but the relationships between these two suites of traits remain ambiguous. Recently, Li et al. (2015) reported that leaf economics and hydraulic traits were decoupled in five tropical-subtropical forests in China. We tested the hypothesis that the relationships between economics and hydraulic traits may depend on water availability. We analysed five leaf economics traits, four hydraulic traits and anatomical structures of 47 woody species on the Loess Plateau with poor water availability and compared those data with Li et al. (2015) obtained in tropical-subtropical regions with adequate water. The results showed that plants on the Loess Plateau tend to have higher leaf tissue density (TD), leaf nitrogen concentrations and venation density (VD) and lower stomatal guard cell length (SL) and maximum stomatal conductance to water vapour (gwmax). VD showed positive correlations with leaf nitrogen concentrations, palisade tissue thickness (PT) and ratio of palisade tissue thickness to spongy tissue thickness (PT/ST). Principal component analysis (PCA) showed a result opposite from those of tropical-subtropical regions: leaf economics and hydraulic traits were coupled on the Loess Plateau. A stable correlation between these two suites of traits may be more cost-effective on the Loess Plateau, where water availability is poor. The correlation of leaf economics and hydraulic traits may be a type of adaptation mechanism in arid conditions.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Leaf dry mass per area; Leaf nitrogen concentrations; Palisade tissue thickness; Stomatal density; Stomatal guard cell length; Vein density

Mesh:

Substances:

Year:  2017        PMID: 29182967     DOI: 10.1016/j.scitotenv.2017.11.171

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  11 in total

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