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    云杉、白桦人工林地土壤有机碳密度分布特性差异分析——以青海省大通县塔尔沟流域为例

    Difference analysis of soil organic carbon density distribution characteristics of Picea crassifolia and Betula platyphylla forest: Taking the Ta'ergou watershed of Datong county, Qinghai province as an example

    • 摘要: 森林是陆地生态系统中最重要的贮碳库, 研究林地土壤有机碳密度(SOCD)的空间分布模式及其相关影响因素, 对于改善土壤肥力有重要意义, 进而促进生态系统的林分稳定性和植被生产力的提高。该研究在塔尔沟流域, 对云杉纯林、白桦纯林以及云杉白桦混交林3种典型林型进行了筛选, 并运用灰色关联分析法进行研究, 分析林地SOCD的空间分布规律及其受到的影响。结果表明: 云杉白桦混交林的土壤有机碳密度显著高于白桦纯林(P < 0.05), 而云杉纯林的土壤有机碳密度则最低。此外, 垂直剖面上的有机碳密度随着土壤深度的增加而逐渐降低, 与植被层因子中的灌草生物量和郁闭度呈显著正相关, 而与角尺度呈显著负相关。在这3种不同的林分类型之中, 云杉纯林0~20 cm速效磷与SOCD的关联程度最大(关联度为0.92);白桦纯林中, 与有机碳密度关联性强的因素有0~20 cm碱解氮、0~40 cm速效磷和平均树高; 云杉白桦混交林中, 郁闭度与有机碳密度的关联程度最大(关联度为0.95)。云杉白桦混交人工林综合性质最优, 更有利于土壤有机碳的储存和积累, 对该地区的林分功能提升具有重要的指导意义。

       

      Abstract:
      Background Forest is the most important carbon storage pool in the terrestrial ecosystem. Studying the spatial distribution pattern of soil organic carbon density (SOCD) in forest land and understanding its influencing factors contribute to enhancing soil fertility, thereby promoting the stability of forest stands and improving vegetation productivity in ecosystems. Due to the fact that the Ta'ergou small watershed in Datong county, northeastern Qinghai province is a typical representative area for implementing the Grain for Green Project in the Qilian Mountains region, this area has been selected as the research area.
      Methods This study selected three typical forest types, namely Picea crassifolia forest, Betula platyphylla forest, and Picea crassifolia & Betula platyphylla forest, in the Ta'ergou watershed of Datong county, Qinghai province. Set up 5 plots in each forest type, totaling 15. Sampling was conducted on soil layers (0-20, 20-40, and 40-60 cm) at different depths under different forest types, the organic carbon content was measured to calculate the SOCD, and the grey correlation analysis method was used for research and analyze the distribution characteristics and influencing factors of soil organic carbon density in the forest land.
      Results The findings indicated that the soil organic carbon density (SOCD) content in different forest land types demonstrated that the P. crassifolia & B. platyphylla was higher than the B. platyphylla (P < 0.05), and the P. crassifolia was the lowest. The organic carbon density on the vertical profile decreased with the increase of soil depth and was significantly positively correlated with the shrub biomass and canopy density in the vegetation layer factors, while significantly negatively correlated with the angular scale. Among the three forest types, the correlation between available phosphorus (AP) and soil organic carbon density is the highest in the P. crassifolia forest at 0-20 cm (correlation degree is 0.92). In the B. platyphylla forest, the factors with strong correlation with organic carbon density are 0-20 cm alkaline nitrogen (AN), 0-40 cm available phosphorus (AP), and average tree height (H); In the P. crassifolia & B. platyphylla, the correlation between canopy density (CD) and organic carbon density is the highest (correlation degree is 0.95).
      Conclusions The P. crassifolia & B. platyphylla has the best comprehensive properties, which is more favorable for the storage and buildup of soil organic carbon. It has important guiding significance for the improvement of forest stand function in the region.

       

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