祁连山南坡微地形典型生态系统土壤有机碳变化特征及影响因素分析

Characteristics and Influencing Factors of Soil Organic Carbon Content Changes in Typical Ecosystems of Microtopography in the Southern Slope of Qilian Mountains

  • 摘要:
    目的 探讨祁连山地区微地形土壤有机碳含量差异性,为评估该区复杂地形固碳效应提供科学依据。
    方法 基于野外样地实测及室内分析相结合,在坡面尺度分析了阴坡(青海云杉林地)和阳坡(高山草地)的土壤有机碳含量及影响因素。
    结果 ①土壤有机碳含量随土层深度加深而逐渐降低,阴坡和阳坡不同土壤深度有机碳含量呈显著差异性(P < 0.05)。青海云杉林地土壤有机碳含量变化趋势为坡中(PZ) > 坡中上(PZS) > 坡底上(PDS) > 坡底(PD) > 坡上(PS) > 坡上顶(PSD),高山草地土壤有机碳含量变化趋势为坡中(PZ) > 坡底(PD) > 坡中上(PZS) > 坡底上(PDS) > 坡上(PS) > 坡上顶(PSD)。② 在不同海拔区间,阴坡和阳坡在3060 ~ 3090 m处土壤有机碳含量最大。③土壤有机碳含量分布并非单因素主导,而是受到多种环境因子影响,呈多元驱动的显著特征。在阳坡单一因子控制下,容重对土壤有机碳含量解释率最高,为19%,在因子交互作用下,容重与海拔耦合是影响土壤有机碳含量的主导因子,解释率达到37%。在阴坡单一因子控制下,容重对土壤有机碳含量解释率最高,为35%,而在因子交互作用下,海拔与粉砂粒含量耦合是阴坡土壤有机碳含量的主导因子,解释率达到54%。
    结论 与高山草地植被类型比较,青海云杉林地的土壤有机碳含量整体较高;不同坡位的土壤有机碳含量比较,青海云杉林地坡中(PZ)及坡中上(PZS)区域的土壤有机碳含量尤为丰富。相反,高山草地的土壤有机碳含量最大值则出现在坡底(PD)区域。

     

    Abstract:
    Objective The aims was to investigate the differences in soil organic carbon (SOC) content in microtopography in the Qilian Mountains, in order to provide a scientific basis for the assessment of carbon sequestration effect of the complex terrain.
    Method Based on the combination of field measurements and indoor analysis, this study analyzed the SOC content of Qinghai spruce woodland and alpine grassland at the slope scale and analyzed the influencing factors.
    Result ① SOC contents gradually decreased with the deepening of soil depth, and there was a significant difference of SOC content between the shady and sunny slopes (P < 0.05). The trend of SOC content in Qinghai spruce woodland was mid-slope (PZ) > upper mid-slope (PZS) > upper bottom of slope (PDS) > bottom of slope (PD) > top of slope (PS) > top of slope (PSD), and that of alpine grassland was mid-slope (PZ) > bottom of slope (PD) > upper middle of slope (PZS) > upper bottom of slope (PDS) > top of slope (PS) > top of slope (PSD). ② The SOC content was greatest from 3060 ~ 3090 m for both shady and sunny slopes at different elevation intervals. ③ The comprehensive analysis of geo-detector showed that the distribution of SOC was not dominated by a single factor, but that was influenced by multiple environmental factors with a significant characteristic of multiple drivers. Under the control of a single factor on sunny slopes, bulk density had the highest explanation rate of 19%; under the interaction of factors, bulk density coupled with elevation was the dominant factor affecting SOC, with an explanation rate of 37%. Under the control of a single factor on the shaded slope, the highest explanation rate of soil SOC content was 35% for bulk density. While under the factor interaction, the coupling of elevation and silt content was the dominant factor for SOC content on the shaded slope, with an explanation rate of 54%.
    Conclusion Comparing the SOC contents of two vegetation types, the SOC content of Qinghai spruce woodland was higher overall. The results of SOC distribution on different slopes showed that Qinghai spruce woodland was particularly rich in SOC in the middle (PZ) and upper middle (PZS) regions of the slope. On the contrary, the maximum SOC content of alpine grassland appeared at the bottom of the slope (PD).

     

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