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亚热带不同地区苦竹叶片养分化学计量变异特征及其环境的驱动作用

Characterization of Nutrient Stoichiometry Variability in Pleioblastus amarus Leaves from Different Subtropical Regions and Its Environmental Drivers

  • 摘要:
    目的 探究地理分异对苦竹叶片养分化学计量特征的影响及其主要环境驱动因子。
    方法 采用Pearson相关分析、LSD差异分析和结构方程建模的方法,分析了不同地区(安徽省潜山县、浙江省龙游县、福建省沙县区)1~3 年生苦竹叶片C、N、P含量和化学计量比及其与环境因子的相互关系。
    结果 表明:随着纬度的升高,1~3年生苦竹立竹叶片C、N、P含量均呈下降的趋势,而C : N、C : P、N : P总体呈上升的趋势。潜山县立竹叶片C、N、P含量显著低于龙游县和沙县区,而C : N、C : P、N : P龙游县和沙县区明显小于潜山县;随着立竹年龄的增大,立竹叶片C、N、P含量均呈下降的趋势,C : N、C : P呈上升趋势,而N : P不同年龄立竹间无显著变化;Pearson相关分析发现,年平均温度和土壤化学性质(土壤全氮、全磷、全钾、水解性氮、有效磷、速效钾、有机质等)对立竹叶片养分化学计量特征具有重要影响,而年平均降水量等气候因子和土壤物理性质影响不大。结构方程模型结果显示,气候因子、土壤因子与叶片养分化学计量特征均呈显著正相关,并且其总影响效应水平接近。
    结论 地理分异导致的苦竹叶片养分化学计量特征变异是气候和土壤因子共同作用的结果。其中,年平均温度和土壤水解性氮、全磷、速效钾含量是影响苦竹叶片养分化学计量变异的主要驱动因子。

     

    Abstract:
    Objective The study aimed to explore the impact of geographical differentiation on the stoichiometric characteristics of Pleioblastus amarus leaves and identify their primary environmental drivers.
    Method The C, N, P content, and stoichiometric ratio of P. amarus leaves from three different regions: Qianshan County, Anhui Province; Longyou County, Zhejiang Province; and Shaxian District, Fujian Province were explored. Pearson correlation analysis, LSD difference analysis, and structural equation modeling were employed to investigate the correlation between these characteristics and environmental factors.
    Result The results indicated that the contents of C, N, and P in P. amarus leaves decreased with increasing latitude, while the ratios of C∶N, C∶P, and N∶P showed an overall upward trend. Notably, P. amarus leaves from Qianshan County exhibited significantly lower concentrations of C, N, and P than those from Longyou County and Shaxian District. Moreover, the ratios of C∶N, C∶P, and N∶P were significantly smaller in Qianshan County than those in the other two regions. Additionally, the study found that as the age of the culms increased, the concentrations of C, N, and P decreased, while the ratios of C∶N and C∶P increased. There was no significant change observed in the N to P ratio with different ages. Pearson correlation analysis revealed that the annual mean temperature and soil chemical properties (such as total nitrogen, total phosphorus, total potassium, hydrolyzed nitrogen, available phosphorus, available potassium, organic matter, etc. ) significantly influenced the stoichiometric characteristics of P. amarus leaves. On the other hand, mean annual precipitation and soil physical properties had little effect on the stoichiometric characteristics of P. amarus leaves. The results of the structural equation model indicated a significant positive correlation between climatic factors, soil factors, and leaf stoichiometry characteristics, with similar effects.
    Conclusion This suggests that the variation in leaf stoichiometry due to geographical differentiation may be attributed to the combined effect of climate and soil factors. Among these factors, the annual average temperature, soil hydrolyzable nitrogen, soil total phosphorus, and soil available potassium are the main indicators affecting the stoichiometric variation of leaves.

     

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