Stoichiometric characteristics of dominate afforestation tree species and their environmental drivers in the Saihanba Region

TIAN Di, CHI Xiao-Long, SHI Liang, LIU Xiao-Han, ZHAO Chang-Ti, WU Mei, ZHANG Yu-Zhong, GAO Yong-Liang   

  1. , State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China 100083, China
    , Institute of Geographic Sciences and Resources, Chinese Academy of Sciences, Beijing 100101, China 100101, China
    , Forestry Work Station of Haolaihuhe Sumu (Sub-district) People's Government, Hexigten Banner, Chifeng City, Inner Mongolia Autonomous Region, Chifeng 025349, China 025349, China
    , Huamugou Forest Farm, Hexigten Banner, Inner Mongolia, Chifeng 025349, China. 025349, China
  • Received:2025-05-06 Revised:2025-10-10
  • Contact: SHI, Liang
  • Supported by:
    the National Key R&D Program of China(2022YFD2201600); the 7th China Association for Science and Technology Young Talent Support Program(2021QNRC001)

Abstract: The stoichiometric characteristics of plant leaves are closely linked to their physiological and ecological functions, such as photosynthesis and water-use efficiency. Among tree species within the same habitat, variations in their leaf stoichiometry reflect their distinct strategies for utilizing environmental and nutrient resources. In China’s Saihanba region, extensive plantations of Larix gmelinii var. principis-rupprechtii and Pinus sylvestris var. mongholica face challenges such as declining productivity and weakened ecosystem services, largely due to insufficient theoretical foundations in traditional nutrient management. To clarify the adaptive divergence and driving factors of the dominant afforestation species from a nutrient-use perspective and to provide scientific guidance for tree species selection and ecosystem enhancement in semi-arid regions, we conducted this study in Saihanba.

Key words: Leaf stoichiometric traits, environmental factors, Larix gmelinii var. principis-rupprechtii, Pinus sylvestris var. mongholica, semi-arid region, altitudinal gradient