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<p>Understanding the influence of topographic factors on bamboo stand characteristics, soil nutrient concentrations, and stoichiometry in hilly regions is crucial for the sustainable management of moso bamboo (Phyllostachys pubescens) forests. Data were collected from five provinces in China (Jiangsu, Hunan, Jiangxi, Zhejiang, and Fujian). Three-way ANOVA and correlation analysis were conducted to analyze variations in bamboo stand characteristics, soil nutrient contents, and stoichiometric characteristics. Furthermore, a linear mixed-effects model with region as a random effect was used to quantify the influence of topographic factors on bamboo stand characteristics. With increasing elevation, soil total carbon (TC), soil organic carbon (SOC), and the N: P ratio increased, whereas total phosphorus (TP), total nitrogen (TN), and dominant height (DH) exhibited a unimodal pattern, first increasing and then decreasing, with DH peaking at 600–800&#xa0;m. Slope angle significantly affected TN, while slope aspect influenced SOC and mortality, with SOC being highest on shaded slopes (4.66% higher than on sunny slopes). SOC, TP, and TN tended to increase with elevation, whereas the increasing N: P ratio suggests a potential phosphorus limitation in bamboo soils. Incorporating topographic factors into the models helped explain variations in stand characteristics, soil nutrients, and stoichiometric patterns, and the inclusion of regional random effects further improved model performance. Elevation and slope angle are important predictors of bamboo stand characteristics, soil nutrient concentrations, and stoichiometry in moso bamboo forests.</p>

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Effects of Topographic Factors on Moso Bamboo Stand Characteristics, Soil Nutrient Concentrations and Stoichiometry

  • 期刊论文

  • 发表日期：

    2026年6月15日

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  • Xiao Zhou,
  • Ram P. Sharma,
  • Fengying Guan

摘要

Understanding the influence of topographic factors on bamboo stand characteristics, soil nutrient concentrations, and stoichiometry in hilly regions is crucial for the sustainable management of moso bamboo (Phyllostachys pubescens) forests. Data were collected from five provinces in China (Jiangsu, Hunan, Jiangxi, Zhejiang, and Fujian). Three-way ANOVA and correlation analysis were conducted to analyze variations in bamboo stand characteristics, soil nutrient contents, and stoichiometric characteristics. Furthermore, a linear mixed-effects model with region as a random effect was used to quantify the influence of topographic factors on bamboo stand characteristics. With increasing elevation, soil total carbon (TC), soil organic carbon (SOC), and the N: P ratio increased, whereas total phosphorus (TP), total nitrogen (TN), and dominant height (DH) exhibited a unimodal pattern, first increasing and then decreasing, with DH peaking at 600–800 m. Slope angle significantly affected TN, while slope aspect influenced SOC and mortality, with SOC being highest on shaded slopes (4.66% higher than on sunny slopes). SOC, TP, and TN tended to increase with elevation, whereas the increasing N: P ratio suggests a potential phosphorus limitation in bamboo soils. Incorporating topographic factors into the models helped explain variations in stand characteristics, soil nutrients, and stoichiometric patterns, and the inclusion of regional random effects further improved model performance. Elevation and slope angle are important predictors of bamboo stand characteristics, soil nutrient concentrations, and stoichiometry in moso bamboo forests.