Biodiv Sci ›› 2025, Vol. 33 ›› Issue (11): 25158.  DOI: 10.17520/biods.2025158  cstr: 32101.14.biods.2025158

• Original Papers: Plant Diversity • Previous Articles     Next Articles

How soil environmental factors shape leaf traits in arid-land vegetation

Xiaoqian Ju1,2,3, Yun Tian1,2,3,*(), Mingze Xu4,5, Yuanmeng Dai6, Manle Li7, Yuhan Zhou1,2, Peng Liu1,2,3, Xin Jia1,2,3, Tianshan Zha1,2,3   

  1. 1 School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
    2 Yanchi Ecological Research Station of the Mu Us Sandy Land, Yanchi, Ningxia 751500, China
    3 Key Laboratory for Soil and Water Conservation of State Forestry and Grassland Administration, Beijing Forestry University, Beijing 100083, China
    4 Observation and Reaserch Station of Ecological Restoration for Chongqing Typical Mining Area, Ministry of Natural Resources (Chongqing Institude of Geology and Mineral Resource), Chongqing 401120, China
    5 College of Resources and Environmental Sciences, China Agricultural University, Beijing 100089, China
    6 Beijing Songshan National Nature Reserve Administration, Beijing 102115, China
    7 Soil and Water Conservation Monitoring Gernal Station of Henan Province, Zhengzhou 450008, China
  • Received:2025-04-29 Accepted:2025-09-16 Online:2025-11-20 Published:2025-12-26
  • Contact: Yun Tian
  • Supported by:
    National Natural Science Foundation of China(31901366);National Natural Science Foundation of China(32071842);Fundamental Research Funds for the Central Universities(FTYX202526);Fundamental Research Funds for the Central Universities(FTYX202528);Fundamental Research Funds for the Central Universities(FTYX202533)

Abstract:

Aims: Plant traits serve as a bridge linking plants and their environment. As the basic unit for studying this relationship, functional groups carry key information on responses to environmental changes. Investigating how the composition of plant functional groups and leaf traits varying along resource gradients is crucial for understanding the environmental adaptation strategies of desert plants.

Methods: This study focused on the Artemisia ordosica communities in the Mu Us sandy land including four typical restoration stages: semi-fixed dune (D1), fixed dune (D2), fixed dune with biological soil crusts (D3), fixed dune with abundant herbaceous plants (D4). Plant communities were categorized into three functional groups: Poaceae, non- Poaceae, and shrub. We revealed the species composition of different plant functional groups at each restoration stage, the characteristics of their leaf traits, and the key soil environmental factors, with redundancy analysis (RDA) and variation partitioning.

Results: As the sand dunes gradually stabilized, the composition of plant functional groups became more complex, and the number of Poaceae and non-Poaceae species showed an increasing trend. However, shrub species showed relatively stable. Leaf traits of plant functional groups during the D1 and D2 stages exhibited higher specific leaf area (SLA) and lower leaf dry matter content (LDMC), suggesting that plants prioritized investment in leaf morphological development to enhance resource utilization under harsh environmental conditions. Among these, grass had higher LDMC and carbon assimilation capacity, which enhanced their ability to adapt to stressful environments. RDA revealed that soil water content (SWC), soil carbon to nitrogen ratio (SC : SN), and soil organic carbon content (SOC) significantly influenced the leaf trait assemblages of all three plant functional groups (P < 0.01). Variation partitioning and hierarchical partitioning analysis indicated that nine soil factors explained 18.5% of the total variance in plant leaf traits. The SC : SN had the largest individual effect (4.13%), and both SC : SN and SWC exhibited co-effects with most other factors.

Conclusion: This study employed multiple statistical analytical approaches to identify the key soil drivers of trait variation in desert plants and their synergistic effects, providing a robust theoretical foundation for regional vegetation restoration and sustainable ecosystem management.

Key words: leaf traits, soil environmental factors, redundancy analysis, sand-fixation stages, plant functional groups