Evidence map›Paper›PMID 40335947›Full record

ArticleBMC plant biology2025

Functional trait response to aridity based on leaf trait network analysis in the Hexi Corridor, China.

Yingxiang Miao, Haifeng Liu, James F White, Guoqiang Wu, Shanjia Li

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Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yingxiang Miao *School of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Haifeng Liu *School of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
James F WhiteDepartment of Plant Biology, Rutgers University, New Brunswick, NJ, 08901, USA.
Guoqiang WuSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Shanjia LiSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, 730050, China. lishanjia@lut.edu.cn.

Funding

National Natural Science Foundation of China 41961007Opening Fund of Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, CAS LPCC2023003
6 · The paper itself

Abstract

backgroundAridity acts as a strong environmental filter for plants and is predicted to intensify in the future, resulting in changes to leaf functional traits. However, few studies explore how interactions of multiple traits result in leaf trait tradeoff strategies along an aridity gradient, and whether trait separation occurs with increasing aridity intensity. This study examines the impact of long-term aridity on 14 plant leaf traits in two arid areas (arid and hyper-arid) in the Hexi Corridor, China. A leaf trait network (LTN) was constructed to study how leaf trait tradeoff strategies differ between the two areas. Structural equation modeling (SEM) was used to identify the direct and indirect effects of aridity and functional diversity (as measured by community weighted means and functional dispersion) on leaf nutrient concentration.

resultsLTN shows trait separation, poor synergy among traits, and low resource utilization. Correlation analyses showed that the mass ratio hypothesis is dominant, and aridity is positively correlated with leaf relative water content (RWC) and leaf phosphorus content, and negatively correlated with leaf nitrogen content (LNC). SEM results indicated that LNC is directly affected by aridity, RWC, leaf carbon content, and plant height. Aridity and functional dispersion directly affects leaf phosphorus content.

conclusionsResults indicate that increasing drought weakens plant coordination among specific traits, and the main change in plant trait tradeoff strategies is reflected in the separation of nutrient traits. Exploring the change of the tradeoff among traits along the aridity gradient can better understand the adaptation process of plants to aridity and the process of community function change.

Indexed as

Desert ClimateDroughtsPlant LeavesChinaAridityCommunity weighted meansHexi CorridorLeaf trait networkStructural equation modelTrait tradeoff strategy

Identifiers

PMID40335947
PMCPMC12057104

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