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    王晓琳, 王寅, 何奕成, 杨慧, 曲梦君, 邹旭阁, 李景文. 黑河下游植物碳氮化学计量特征及其影响因素[J]. 北京林业大学学报, 2023, 45(4): 50-59. DOI: 10.12171/j.1000-1522.20210545
    引用本文: 王晓琳, 王寅, 何奕成, 杨慧, 曲梦君, 邹旭阁, 李景文. 黑河下游植物碳氮化学计量特征及其影响因素[J]. 北京林业大学学报, 2023, 45(4): 50-59. DOI: 10.12171/j.1000-1522.20210545
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    Wang Xiaolin, Wang Yin, He Yicheng, Yang Hui, Qu Mengjun, Zou Xuge, Li Jingwen. Stoichiometric characteristics of carbon and nitrogen in plants and their influencing factors in the lower reaches of the Heihe River, northwestern China[J]. Journal of Beijing Forestry University, 2023, 45(4): 50-59. DOI: 10.12171/j.1000-1522.20210545
    Citation: Wang Xiaolin, Wang Yin, He Yicheng, Yang Hui, Qu Mengjun, Zou Xuge, Li Jingwen. Stoichiometric characteristics of carbon and nitrogen in plants and their influencing factors in the lower reaches of the Heihe River, northwestern China[J]. Journal of Beijing Forestry University, 2023, 45(4): 50-59. DOI: 10.12171/j.1000-1522.20210545
    shu

    黑河下游植物碳氮化学计量特征及其影响因素

    Stoichiometric characteristics of carbon and nitrogen in plants and their influencing factors in the lower reaches of the Heihe River, northwestern China

      摘要
    • 摘要:
        目的  碳 、氮元素对植物的生长发育至关重要，尤其是在极端干旱的内陆河流域，不同功能群植物对土壤水分和养分需求不同，往往表现出不同的化学计量特征。探寻黑河下游不同功能群植物的化学计量特征及对地下水变化的养分反应，对进一步了解全球气候变化背景下荒漠生态系统具有重要意义。
        方法  在黑河下游，根据与河道的距离，共设置22个采样点，采用相关性分析、方差分解方法分别对不同功能群植物的碳氮化学计量特征及其与环境因子的关系进行研究。
        结果  研究结果表明：黑河下游地区植物叶片和细根的碳元素含量平均值分别为408.53和16.30 mg/g；氮元素含量平均值分别为500.34和11.81 mg/g，碳氮比平均值分别为30.74和49.48。与全球和区域尺度研究相比，黑河下游植物具有较高的细根碳含量、较低的氮含量和较高的碳氮比。在不同地下水位梯度上，木本植物的碳含量、氮含量与碳氮比均与地下水深度显著相关，但草本植物与地下水不相关。黑河下游植物碳氮化学计量特征与土壤理化属性紧密相关。地下水和土壤含水量、土壤总氮共同解释了木本植物化学计量总变异的53% ~ 75%；土壤pH值和土壤电导率共同解释了草本植物化学计量总变异的20%。
        结论  面对极端干旱盐碱环境，水分是影响木本植物碳氮化学计量特征变化的关键因子，草本植物碳氮化学计量特征主要受土壤pH值和土壤电导率影响。

       

      Abstract:
        Objective  Carbon (C) and nitrogen (N) elements are crucial for plant growth and development, especially in extremely arid inland river basins. Plants in different functional groups would show varied stoichiometric characteristics due to the variations in requirements for soil water and nutrients. It is of great significance to explore stoichiometric characteristics among different plant functional groups in the lower reaches of the Heihe River of northwestern China, as well as their nutrient contents responsing to groundwater fluctuation, aiming to further understand desert ecosystems under the background of global climate change.
        Method  In the lower reaches of the Heihe River, a total of 22 sampling sites were set up according to the vertical distance between vegetation and river. Correlation analysis and variation partition analysis (VPA) were applied to determine the relationship between plant stoichiometry and environmental factors among plant functional groups, respectively.
        Result  The average C contents of leaves and fine roots of plants in the lower reaches of Heihe River were 408.53 and 16.30 mg/g, the average N contents were 500.34 and 11.81 mg/g, and the average C∶N ratios were 30.74 and 49.48, respectively. Compared with global and regional studies, it was found that plants in the lower reaches of the Heihe River had higher C content, lower N content and higher C∶N. Different from herbaceous plants, the C content, N content and C∶N of woody plants were significantly correlated with the changes of groundwater depth. We found that the stoichiometric characteristics of plant carbon and nitrogen in the lower reaches of the Heihe River were significantly correlated with soil properties. The groundwater and soil variables jointly explained 53%−75% of the variation in woody plant stoichiometry. Additionally, soil pH and soil electrical conductivity explained 20% of the variation in herbaceous plant stoichiometry.
        Conclusion  Our study finds that groundwater is the key factor influencing the carbon and nitrogen stoichiometry of woody plants under extreme drought and saline-alkali environment, and the carbon and nitrogen stoichiometry of herbaceous plants is mainly influenced by soil pH and soil electrical conductivity.

       

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