不同退耕模式下土壤抗蚀性差异及其评价模型

    Difference and evaluation model of soil anti-erodibility with different de-farming patterns

    • 摘要: 土壤抗蚀性是评定土壤抵抗土壤侵蚀能力的重要参数之一,该文通过野外调查与室内分析相结合方法,在土壤理化性质综合分析的基础上,融入生物学指标,对川西低山丘陵区退耕桉树林、退耕杉木林、退耕茶园、退耕枇杷园和退耕撂荒地5种退耕模式下土壤抗蚀性进行了研究。结果表明:19个用于表征研究区土壤抗蚀性的指标可优化为>0.25 mm水稳性团聚体含量、平均质量直径、>0.25 mm团聚体破坏率、>0.5 mm团聚体破坏率、有机质含量及酸性磷酸酶6个指标;5种退耕模式下土壤抗蚀性综合指数大小依次为退耕杉木林>退耕桉树林>退耕枇杷园>退耕茶园>退耕撂荒地。在此基础上,应用6个优化指标构建了研究区不同退耕模式下土壤抗蚀性强、中等、弱3个等级的判别模型,模型总判别正确率为96.7%,具有较高的可信度。这为完善不同退耕模式下土壤抗蚀性评价指标体系和区域性土壤抗蚀性评价提供依据。

       

      Abstract: Soil anti-erodibility is one of the important parameters for evaluating the ability of soil resistance to soil erosion. Based on the comprehensive investigation on soil physical and chemical, and incorporated into bioindicator, the soil anti-erodibility was investigated with five de-farming patterns including conversion of farmland to Chinese fir plantation, conversion of farmland to eucalyptus plantation, conversion of farmland to loquat orchard, conversion of farmland to tea plantation and conversion of farmland to abandoned land by the method of field investigation and laboratory analysis on the hilly region of Western Sichuan in China. The results showed that all the 19 anti-erodibility indices could be optimized to 6 indices which were water-stable aggregates at size >0.25 mm, average weighted diameter, destructive rate of aggregates at size >0.25 mm, destructive rate of aggregates at size >0.5 mm, soil organic matter and acid phosphatase. The order of principal component analysis(PCA) comprehensive exponent of soil anti-erodibility followed that conversion of farmland to Chinese fir plantation > conversion of farmland to eucalyptus plantation > conversion of farmland to loquat orchard > conversion of farmland to tea plantation > conversion of farmland to abandoned land. Based on the 6 optimal indices of soil anti-erodibility, discriminant functions were established with different de-farming patterns. Discriminant functions included three levels of good, medium and poor soil anti-erodibility and total discriminant probability was 96.7%. So, three models could be used to evaluate soil anti-erodibility exactly in this area. The results can provide theory basis for improving index system of soil anti-erodibility and evaluating soil anti-erodibility of de-farming regions.

       

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