| 植被类型对祁连山土壤碳、氮、磷生态化学计量特征的影响 |
| 摘要点击 1160 全文点击 11 投稿时间：2025-07-14 修订日期：2025-11-04 |
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| 中文关键词 祁连山 植被类型 土壤养分 生态化学计量 影响因素 |
| 英文关键词 Qilian Mountains vegetation types soil nutrients ecochemical metrology influencing factors |
| DOI 10.13227/j.hjkx.202507189 |
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| 中文摘要 |
| 为阐明祁连山不同植被类型土壤的生态化学计量特征，以祁连山地区高寒草甸、高寒草原、高寒灌丛、乔木和荒漠为研究对象，采用单因素和双因素方差分析，对祁连山土壤有机碳（SOC）、全氮（TN）、全磷（TP）及其化学计量特征进行研究，并结合层次分割法量化环境因子对土壤碳氮磷及其生态化学计量比的解释率. 结果表明：①祁连山5种植被类型ω（SOC）、 ω（TN）和ω（TP）变化范围分别为9.24~46.68、1.71~6.59和0.46~0.67 g·kg-1；②土层深度和植被类型对SOC、TN和TP均有影响，且土壤碳、氮和磷含量均呈现“表聚”效应；③祁连山5种植被类型土壤碳氮比、碳磷比和氮磷比变化范围为7.41~11.36、28.70~79.63和4.39~10.09，研究区土壤整体以氮限制为主，磷素限制作用相对较弱；④土壤容重是影响祁连山土壤碳氮磷及其生态化学计量特征的重要调控因子. 研究结果可为祁连山土壤质量评价及植被恢复提供理论支持. |
| 英文摘要 |
| This study investigated alpine meadows， alpine steppe， alpine shrubland， arbor forest， and desert ecosystems to clarify the ecological stoichiometric characteristics of soils under different vegetation types in the Qilian Mountains. One-way and two-way analysis of variance （ANOVA） were used to investigate soil organic carbon （SOC）， total nitrogen （TN）， total phosphorus （TP）， and their ecological stoichiometric characteristics. Hierarchical partitioning analysis was further applied to quantify the explanatory power of environmental factors on soil C， N， P， and their stoichiometric ratios. The results showed the following ① The content ranges for SOC， TN， and TP varied significantly between vegetation types （9.24-46.68 g·kg-1， 1.71-6.59 g·kg-1， and 0.46-0.67 g·kg-1， respectively）. ② Both soil depth and vegetation type influenced SOC， TN， and TP levels， with all parameters exhibiting a “surface accumulation” effect. ③ The soil carbon-to-nitrogen ratio， carbon-to-phosphorus ratio， and nitrogen-to-phosphorus ratio ranged from 7.41 to 11.36， 28.70 to 79.63， and 4.39 to 10.09， respectively， indicating that the study area was generally nitrogen-limited， whereas phosphorus limitation was relatively weak. ④ Soil bulk density was an important factor affecting soil C， N， P and their ecological stoichiometric characteristics in the Qilian Mountains. These findings provide theoretical support for evaluating soil quality and guiding vegetation restoration efforts in the Qilian Mountains. |
