Determining soil quality indicators by factor analysis
Determining soil quality indicators by factor analysis
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DOI：
10.1016/j.still.2005.03.011
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发表时间：
2006-06
影响因子：
6.5
通讯作者：
M. Shukla;R. Lal;M. Ebinger
中科院分区：
文献类型：
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作者：
M. Shukla;R. Lal;M. Ebinger
土壤质量指标（SQI）可用于评价农业生态系统中土地利用和土壤管理措施的可持续性。本研究的目的是确定合适的SQI因子分析（FA）的五个处理：免耕玉米（Zee mays）没有有机肥（NT），免耕玉米与有机肥（NTM），免耕玉米-大豆（Glycine max）轮作（NTR），常规耕作玉米（CT），和草甸（M）在俄亥俄州的科斯霍顿。在0- 10 cm土层内，土壤性质可分为5个因子（特征值>1）：（1）土壤水分传导性，（2）土壤通气性，（3）土壤孔隙连通性，（4）土壤质地，（5）土壤水分状况。因子2是最主要的，土壤有机碳（SOC）的最主要的测量土壤属性贡献这个因素。对于10- 20 cm深度，确定的因子为：（因子6）土壤团聚体，（因子7）土壤孔隙连接2，（因子8）土壤大孔隙，和（因子9）植物生产。在10- 20 cm土层，第6因子占主导地位，有机碳是最主要的土壤属性。管理×样方和坡位×样方的交互作用在两种深度上均达到显著水平。总体而言，SOC是最主要的测量土壤属性作为SQI的两个深度。其他关键的土壤属性是田间持水量，充气孔隙度，pH值和土壤容重为0- 10厘米的深度，和全氮和团聚体的平均重量直径为10-20深度。因此，土壤有机碳在监测土壤质量方面具有重要作用。
Soil quality indicators (SQIs) can be used to evaluate sustainability of land use and soil management practices in agroecosystems. The objective of this study was to identify appropriate SQI from factor analysis (FA) of five treatments: no-till corn (Zee mays) without manure (NT), no-till corn with manure (NTM), no-till corn–soybean (Glycine max) rotation (NTR), conventional tillage corn (CT), and meadow (M) in Coshocton, Ohio. Soil properties were grouped into five factors (eigenvalues>1) for the 0–10cm depth as: (Factor 1) water transmission, (Factor 2) soil aeration, (Factor 3) soil pore connection 1, (Factor 4) soil texture and (Factor 5) moisture status. Factor 2 was the most dominant, with soil organic carbon (SOC) the most dominant measured soil attribute contributing to this factor. For the 10–20cm depth, factors identified were: (Factor 6) soil aggregation, (Factor 7) soil pore connection 2, (Factor 8) soil macropore, and (Factor 9) plant production. At 10–20cm depth, Factor 6 was most dominant with SOC the most dominant measured soil attribute. Management×sample and slope position×sample interactions were significant among some factors for both depths. Overall, SOC was the most dominant measured soil attribute as a SQI for both depths. Other key soil attributes were field water capacity, air-filled porosity, pH and soil bulk density for the 0–10cm depth, and total N and mean weight diameter of aggregates for the 10–20 depth. Therefore, SOC could play an important role for monitoring soil quality.