丹霞地貌区不同植被类型土壤-微生物量碳氮磷及其化学计量特征
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国家青年基金项目(41601583);贵州省自然科学基金资助项目(黔科合基础-ZK[2024]一般674);遵义师范学院科研项目(遵师BS[2019]30号)


Soil-microbial biomass carbon, nitrogen and phosphorus and their stoichiometric characteristics of different vegetation types in Danxia landform area
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    摘要:

    丹霞地貌区是我国西南脆弱生态系统的典型代表,其植被通过凋落物、细根等向土壤输入营养物质,进而改变土壤养分有效性并影响土壤微生物群落。然而,关于不同植被类型对土壤养分和微生物特征的具体影响,目前尚缺乏明确的认识。选取贵州赤水丹霞地貌区的四种典型植被类型——针阔混交林、常绿阔叶林、杉木林和竹林作为研究对象,旨在探讨不同植被类型下土壤碳(SOC)、氮(TN)、磷(TP)养分以及微生物生物量(MBC、MBN、MBP)的变化特征,并分析其化学计量比、微生物熵(qMBC、qMBN、qMBP)和化学计量不平衡性之间的关系。结果表明:(1)四种植被类型下的土壤SOC、N、P养分均呈明显的表聚现象。其中,竹林在0—10 cm和10—20 cm 2个土层中的SOC、TN和TP含量均显著高于其它三种植被类型。(2)在0—20 cm土层,四种植被类型土壤C ∶ N均值为9.35—10.58,各植被类型间差异不显著;C ∶ P均值则在36.55—55.60之间,以常绿阔叶林最高;而N ∶ P比值相对较低,介于3.52至5.25之间,表明这四种植被的生长主要受N的限制。此外,常绿阔叶林和杉木林土壤N ∶ P比值显著高于针阔混交林和竹林。(3)在0—20 cm土层内,杉木林土壤的qMBC显著低于其它三种植被类型,而其qMBP则相对较高;杉木林和竹林的qMBN显著高于其它两种植被类型。(4)化学计量不平衡性表现为:在0—20 cm土层,杉木林C ∶ N化学计量不平衡(IMB)和C ∶ P(IMB)显著高于其它植被类型,而常绿阔叶林和杉木林N ∶ P(IMB)显著高于针阔混交林和竹林。(5)双因素方差分析进一步证实,植被类型和土层对土壤碳氮磷养分和微生物生物量均具有显著影响。冗余分析显示,C ∶ N(IMB)、C ∶ P(IMB)、MBC ∶ MBN和MBN ∶ MBP对微生物熵的影响较大。总体而言,四种植被类型中,竹林具有较高的养分富集能力,而杉木林qMBC最低,同时C ∶ N(IMB)、C ∶ P(IMB)和N ∶ P(IMB)均较高,这反映出其土壤质量状况较差。此外,四种植被的生长主要受N限制,因此在生态系统管理中要注意N的供应。

    Abstract:

    The Danxia landform region is a quintessential example of fragile ecosystems in southwest China. Vegetation in this region inputs nutrients into the soil through litterfall, fine roots, and other means, thereby altering soil nutrient availability and impacting microbial communities. However, there is currently a lack of clear understanding of the specific effects of different vegetation types on soil nutrients and microbial characteristics. This study selected four typical vegetation types in the Danxia landform area of Chishui, Guizhou Province-mixed coniferous broad-leaved forest, evergreen broad-leaved forest, Chinese fir forest and bamboo forest-as research objects. The aim was to explore the variation characteristics of soil carbon (SOC), total nitrogen (TN), total phosphorus (TP) nutrients, and microbial biomass (MBC, MBN, and MBP) under different vegetation types, and to analyze the relationships among stoichiometric ratios, microbial quotients (qMBC, qMBN, qMBP), and stoichiometric imbalance. The results indicate that: (1) Soil SOC, N, and P nutrients exhibit significant surface accumulation in all four vegetation types, with bamboo forest having significantly higher SOC, TN and TP contents in 0—10 cm and 10—20 cm soil layers compared to the other three vegetation types. (2) In the 0—20 cm soil layer, the average C ∶ N ratios of the four vegetation types are 9.35—10.58, with no significant differences among them. The average C ∶ P ratios range from 36.55—55.60, with the highest value in evergreen broad-leaved forest. But the average N ∶ P ratios are relatively low ranging from 3.52 to 5.25, indicating that the growth of the four vegetation types is mainly limited by N. Additionally, the soil N ∶ P ratios in evergreen broad-leaved forest and Chinese fir forest are significantly higher than those in mixed coniferous broad-leaved forest and bamboo forest. (3) Within the 0—20 cm soil layer, the qMBC in Chinese fir forest soil is significantly lower than that of the other three vegetation types, while its qMBP value is relative higher. The qMBN in Chinese fir forest and bamboo forest is significantly higher than that in the other two vegetation types. (4) in terms of stoichiometric imbalances, in the 0—20 cm soil layer, the C ∶ N(IMB) and C ∶ P(IMB) in Chinese fir forest are significantly higher than those in other vegetation types. While the N ∶ P(IMB) in evergreen broad-leaved forest and Chinese fir forest is significantly higher than that in the other two vegetation types. (5) Two-way ANOVA further confirms that both vegetation type and soil layer have significant effects on soil carbon, nitrogen, and phosphorus nutrients and microbial biomass. Redundancy analysis show that C ∶ N(IMB), C ∶ P(IMB), MBC ∶ MBN and MBN ∶ MBP have a greater impact on microbial quotients. Overall, among the four vegetation types, bamboo forest has higher nutrient enrichment capacities, while Chinese fir forest has the lowest qMBC and higher C ∶ N(IMB), C ∶ P(IMB), and N ∶ P(IMB), reflecting poorer soil quality conditions. Additionally, the growth of all four vegetation types is primarily limited by N, so attention should be paid to nitrogen supply in ecosystem management.

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肖烨,黄志刚,龙九妹,罗康.丹霞地貌区不同植被类型土壤-微生物量碳氮磷及其化学计量特征.生态学报,2025,45(14):6783~6795

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