延吉市不同土壤类型耕地土壤剖面理化特性及其质量评价

Physicochemical Properties and Quality Evaluation of Soil Profiles in Different Soil Types in Yanji

  • 摘要:
    目的 明确延吉市耕地土壤特性,构建适于当地的土壤质量评价体系,为区域耕地精准管理与科学施肥提供可靠依据。
    方法 研究选取水稻土、暗棕壤、草甸土三种典型土壤,测定其自然发生层(Ap、Ah、B、C)的11项理化指标;基于主成分分析结合Norm值对全数据集(TDS)进行指标筛选,构建最小数据集(MDS),并据此计算土壤质量指数(SQI)。
    结果 三种土类容重均随深度递增,且水稻土表层容重最低;有机质、全氮、全磷等养分普遍呈现“表聚”特征,其中草甸土硝态氮富集,暗棕壤速效钾和有效磷含量突出;电导率随深度下降,且水稻土各层次显著高于暗棕壤。将全氮、硝态氮、速效钾、电导率4个指标纳入MDS,线性回归分析显示,SQI-MDS与SQI-TDS呈极显著正相关(R2 = 0.8637,P < 0.001),表明MDS可有效代替TDS用于研究区土壤质量评价。基于MDS评价结果显示,耕层SQI为草甸土(0.620) > 水稻土(0.526) > 暗棕壤(0.517),剖面整体SQI为暗棕壤(0.426) > 草甸土(0.420) > 水稻土(0.378)。
    结论 延吉市三种典型耕地土壤理化特性存在明显差异;由全氮、硝态氮、速效钾、电导率构建的MDS可有效评价区域土壤质量;研究区耕地土壤质量总体处于“中等”水平。

     

    Abstract:
    Objective The characteristics of cultivated land soil in Yanji were clarified, and a soil quality evaluation system suitable for the local area was constructed to provide a reliable basis for precise management and scientific fertilization of regional cultivated land.
    Method Three typical soils, paddy soil, dark brown earth and meadow soil, were selected to determine 11 physical and chemical indices of their natural occurrence layers (Ap, Ah, B, C). Based on principal component analysis combined with Norm value, the full data set (TDS) was screened to construct the minimum data set (MDS), and the soil quality index (SQI) was calculated accordingly.
    Result The bulk density of the three soil types increased with depth, and the surface bulk density of paddy soil was the lowest. Nutrients such as organic matter, total nitrogen and total phosphorus generally showed the characteristics of ‘surface accumulation’, among which nitrate nitrogen was enriched in meadow soil, and available potassium and available phosphorus were prominent in dark brown soil. The electrical conductivity decreased with depth, and the electrical conductivity of paddy soil was significantly higher than that of dark brown soil. Four indices of total nitrogen, nitrate nitrogen, available potassium and conductivity were included in MDS. Linear regression analysis showed that there was a significant positive correlation between SQI-MDS and SQI-TDS (R2 = 0.8637, P < 0.001), indicating that MDS could effectively replace TDS for soil quality evaluation in the study area. Based on the MDS evaluation results, the SQI of the plough layer was meadow soil (0.620) > paddy soil (0.526) > dark brown soil (0.517), and the overall SQI of the profile was dark brown soil (0.426) > meadow soil (0.420) > paddy soil (0.378).
    Conclusion There are obvious differences in soil physical and chemical properties of three typical cultivated land in Yanji. The MDS constructed by total nitrogen, nitrate nitrogen, available potassium and electrical conductivity can effectively evaluate regional soil quality. The soil quality of cultivated land in the study area is generally at a ‘medium’ level.

     

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