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草业学报 ›› 2023, Vol. 32 ›› Issue (9): 68-78.DOI: 10.11686/cyxb2022412

• 研究论文 • 上一篇    下一篇

海拔和植物群落共同调节天山中段南坡巴伦台地区天然草场土壤化学计量特征

郁国梁(), 马紫荆, 吕自立, 刘彬()   

  1. 新疆特殊环境物种保护与调控生物学实验室,新疆特殊环境物种多样性应用与调控重点实验室,新疆师范大学生命科学学院,新疆 乌鲁木齐 830054
  • 收稿日期:2022-10-17 修回日期:2022-12-07 出版日期:2023-09-20 发布日期:2023-07-12
  • 通讯作者: 刘彬
  • 作者简介:E-mail: onlinelb@163.com
    郁国梁(1998-),男,河南周口人,在读硕士。E-mail: 2663790310@qq.com
  • 基金资助:
    国家自然科学基金地区基金项目(31360039)

Altitude and plant community jointly regulate soil stoichiometry characteristics of natural grassland in the Baluntai area on the southern slope of the middle Tianshan Mountains, China

Guo-liang YU(), Zi-jing MA, Zi-li LYU, Bin LIU()   

  1. Xinjiang Special Environment Protection and Regulation Biology Laboratory,Key Laboratory of Special Environment Biodiversity Application and Regulation in Xinjiang,College of Life Sciences,Xinjiang Normal University,Urumqi 830054,China
  • Received:2022-10-17 Revised:2022-12-07 Online:2023-09-20 Published:2023-07-12
  • Contact: Bin LIU

摘要:

探究土壤化学计量的海拔特征,对于深入了解高海拔地区天然草场土壤化学计量分布,改善土壤养分条件具有重要意义。以天山中段南坡巴伦台地区海拔2200~3550 m内土壤及植物群落为研究对象,分析土壤碳、氮、磷、钾化学计量沿海拔分布的变化规律及其影响因素。结果表明:1)土壤有机碳、全氮、有效氮含量、碳磷比、碳钾比、氮磷比和氮钾比均随海拔升高呈逐渐增大趋势,而土壤全磷、全钾、有效磷、速效钾含量、碳氮比和磷钾比没有明显变化趋势。2)土壤有机碳含量与除磷钾比外所有化学计量比之间以及全氮含量与除碳氮比外所有化学计量比之间均具有较强的正相关关系,而全磷、全钾含量与有机碳、全氮含量及化学计量比之间相关性不显著。3)海拔、土壤总盐和灌木层Margalef丰富度指数是影响土壤化学计量特征变化的主要因素,灌木层物种丰富度较低的区域土壤碳、氮、磷、钾元素含量也更高。

关键词: 生态化学计量, 海拔, 天然草场, 植物群落, 土壤养分

Abstract:

Exploring the altitudinal characteristics of soil stoichiometry is important for understanding the stoichiometric distribution of natural grassland soil in high altitude areas and improving soil nutrient conditions. In this research, the soil and plant communities at an altitude of 2200-3550 m in the Baluntai area on the southern slope of the middle Tianshan Mountains were studied. The variation of soil carbon, nitrogen, phosphorus and potassium stoichiometry along an altitude gradient was examined by one-way ANOVA and one-way Kruskal-Wallis tests. Correlation between soil stoichiometry data was explored by Pearson correlation analysis. The correlation between soil stoichiometry and soil physical and chemical properties and plant diversity was tested by redundancy analysis (RDA). Significance tests were used to determine which factors had significant effects on soil stoichiometry. After removing the collinearity of independent variables, stepwise regression analysis was used to determine the optimal regression equation to determine the stoichiometry of single soils using the akaike information criterion. In this way the factors stoichiometry were found in each case. The results showed that: 1) Soil organic carbon, total nitrogen, available nitrogen content, carbon-phosphorus ratio, carbon-potassium ratio, nitrogen-phosphorus ratio and nitrogen-potassium ratio increased gradually with increase in altitude, while soil total phosphorus, total potassium, available phosphorus, available potassium content, carbon-nitrogen ratio and phosphorus-potassium ratio did not change significantly. 2) There were strong positive correlations between soil organic carbon content and all stoichiometric ratios except phosphorus-potassium ratio and between total nitrogen content and all stoichiometric ratios except carbon-nitrogen ratio, while the correlation between total phosphorus, total potassium content and organic carbon, total nitrogen content and stoichiometric ratio was not significant. 3) Altitude, soil salinity and Margalef richness index of the shrub layer are the main factors affecting soil stoichiometric characteristics. Soil carbon, nitrogen, phosphorus and potassium contents were also higher in areas with lower shrub species richness.

Key words: ecological stoichiometry, altitude, natural grassland, plant community, soil nutrients