基于最小数据集的浙江橘园土壤健康评价及关键障碍因子诊断——以碳组分与微生物多样性指标为核心
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1.浙江省耕地质量与肥料管理总站;2.浙江大学环境与资源学院;3.农业农村部耕地质量和农田工程监督保护中心

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S158

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Soil Health Evaluation and Identification of Key Constraints in Zhejiang Citrus Orchards Based on Minimum Data Set: Focusing on Carbon Fractions and Microbial Diversity Indicators
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1.Cultivated Land Quality and Fertilizer Administration Station of Zhejiang Province;2.College of Environmental and Resource Sciences, Zhejiang University;3.Cultivated Land Quality &4.Farmland Engineering Supervision and Protection Center, MARA

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    摘要:

    长期集约化生产导致浙江橘园土壤健康问题日益突出,而传统评价体系偏重常规化学属性,对土壤有机碳组分和生物学指标关注不足,难以全面反映土壤功能退化特征。本研究以浙江省柑橘主产区土壤为对象,系统测定了土壤理化性质、碳组分、酶活性与微生物等多维度指标,借助主成分分析与相关性分析筛选最小数据集(MDS),构建土壤健康评价模型并诊断制约土壤健康的关键障碍因子。结果表明,浙江橘园土壤健康评价MDS由可溶性有机碳、碱解氮、酸性磷酸酶、β-葡萄糖苷酶、Chao1指数、颗粒态有机碳和矿物结合态有机碳7项指标构成。障碍因子诊断显示,土壤有机碳、矿物结合态有机碳、有效磷、微生物生物量碳及Chao1指数是当前橘园土壤健康的主要限制因子。上述分析共同表明碳组分与微生物多样性指标在橘园土壤健康中发挥关键驱动作用,而剔除相关指标后,评价体系的稳定性与对柑橘产量品质的预测能力显著下降,进一步证实这两类指标在橘园土壤健康评价中不可或缺。本研究所构建的MDS评价体系在保证科学性的前提下将指标数量减少约66%,兼顾科学性与可操作性,可为浙江省橘园土壤健康精准诊断与定向改良提供理论支撑,也可为同类果园土壤评价提供可行的方法参考。

    Abstract:

    Intensive long-term production has increasingly aggravated soil health degradation in citrus orchards of Zhejiang Province. Conventional evaluation systems, however, remain heavily biased towards routine chemical properties and inadequately account for organic carbon fractions and biological indicators, thereby failing to capture the full picture of soil functional deterioration. In this study, soil samples were collected from major citrus-producing areas of Zhejiang, and a comprehensive set of physicochemical properties, carbon fractions, enzyme activities and microbial diversity indices was systematically measured. A minimum data set (MDS) was constructed via principal component analysis combined with correlation analysis, on which a soil health evaluation model was built and used to diagnose key obstacle factors. The results showed that the MDS for soil health evaluation of Zhejiang citrus orchards in comprised seven indicators, i.e., dissolved organic carbon, alkali-hydrolyzable nitrogen, acid phosphatase, β-glucosidase, Chao1 index, particulate organic carbon and mineral-associated organic carbon. Obstacle factor diagnosis identified soil organic carbon, mineral-associated organic carbon, available phosphorus, microbial biomass carbon and Chao1 index as the primary limiting factors. The above analyses collectively demonstrate that carbon fractions and microbial diversity indicators play a key driving role in citrus orchard soil health. Moreover, after excluding these indicators, the stability of the evaluation system and its predictive capacity for citrus yield and quality decreased significantly, further confirming that these two categories of indicators are indispensable in soil health evaluation of citrus orchards. The MDS?based framework developed in this study reduces the number of indicators by approximately 66% while maintaining scientific robustness, thus offering both practicality and scalability. It provides a theoretical basis for precision diagnosis and targeted management of soil health in Zhejiang’s citrus orchards, and may also serve as a methodological reference for soil evaluation in other orchard systems.

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  • 收稿日期:2026-07-13
  • 最后修改日期:2026-08-31
  • 录用日期:2026-09-02
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