安徽省土壤有机碳含量的剖面分异及影响因素研究

The Profile Distribution and Influencing Factors of Soil Organic Carbon Contents in Anhui Province

  • 摘要:
    目的 探讨安徽省有机碳(SOC)含量的剖面分异、空间分布特征以及影响因子,对于提升耕地土壤质量、管理和改善环境提供重要依据。
    方法 将安徽省397个典型土壤剖面按照固定深度划分为0 ~ 15 cm、15 ~ 30 cm、30 ~ 60 cm和60 ~ 90 cm,借助空间分析、地统计学方法、地理探测器和结构方程模型等,分析土壤有机碳含量的影响因素。
    结果 ①安徽省典型土壤剖面4土层SOC均值分别为15.56、8.98、5.66、4.19 g kg−1,在不同深度下均表现为由北向南递增的趋势。②研究区内双因子交互影响明显较单因子影响强,因子交互类型以双因子增强和非线性增强为主,其中30 ~ 60 cm土层年降雨量∩黏粒对SOC的影响最强(0.33)。 ③在0 ~ 15 cm土层人为因素具有最大直接效应和最大总效应,系数分别为0.24、0.22(P < 0.01)。NDVI次之,直接效应和总效应系数分别为0.20、0.22(P < 0.01);15 ~ 30 cm土层气候要素有最大直接效应,系数为0.22(P < 0.001),人为因素的总效应最大,系数为0.21(P < 0.001);在0 ~ 30 cm土层,植被因素对SOC的直接效应系数均在0.18以上;在30 ~ 90 cm土层土壤属性具有最大直接效应和最大总效应。
    结论 安徽省土壤有机碳含量受多因素的综合影响,人为因素、NDVI和气候要素对表层(0 ~ 30 cm)有机碳含量的影响较大,随土层深度的增加,其作用强度减弱;地形因素与土壤属性转变为SOC含量的主要影响因素。

     

    Abstract:
    Objective The profile characteristics, spatial distribution characteristics, and influencing factors of soil organic carbon (SOC) contents in Anhui Province were explored to provide an important basis for upgrading the soil quality of arable land, as well as for managing and improving the environment.
    Method The 397 typical soil profiles in Anhui Province were divided into 0-15 cm, 15-30 cm, 30-60 cm, and 60-90 cm layers based on the fixed depth, and the influencing factors of SOC content were analyzed using spatial analysis, geostatistical methods, geodetectors, and structural equation modeling.
    Result ① The mean SOC contents in four soil layers of typical profiles in Anhui Province were determined to be 15.56, 8.98, 5.66, and 4.19 g kg1, respectively. The spatial trend of increasing SOC from north to south was observed across all depth intervals. ② In the study area, the driving forces of two-factor interactions were found to be significantly stronger than those of single-factor interactions. The interaction types were dominated by two-factor enhancement and nonlinear enhancement. Among these, the strongest driving force on SOC (0.33) was identified for the interaction between MAP and Clay content in the 30 - 60 cm soil layer. ③ The strongest direct and total effects in the 0 - 15 cm soil layer were attributed to anthropogenic factors, with coefficients of 0.24 and 0.22 (P < 0.01), respectively. This was followed by NDVI, which exhibited direct and total effect coefficients of 0.20 and 0.22 (P < 0.01). In the 15 - 30 cm layer, the strongest direct effect was associated with climatic factors (coefficient = 0.22, P < 0.001), while the strongest total effect was maintained by anthropogenic factors (coefficient = 0.21, P < 0.001). Across the 0 - 30 cm profile, the direct effects of vegetation factors on SOC were consistently above 0.18. In the 30 - 90 cm layer, the strongest direct and total effects were held by soil properties.
    Conclusion SOC content in Anhui Province was jointly determined by a combination of influencing factors. Anthropogenic activities, NDVI and climatic elements exerted the greatest influence on SOC in the surface layer (0 - 30 cm), and the magnitude of their effects progressively weakened with increasing soil depth. Consequently, topographic and edaphic properties become the dominant drivers of SOC content at greater depths.

     

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