摘要
基于烟田土壤采样数据,对南平烟区土壤肥力进行综合评价,为烟田土壤营养诊断和管理提供科学依据。选择Fuzzy综合评价法(IFI)对采样点土壤肥力进行评价,然后采用ANUSplin方法由采样点插值得到土壤肥力空间格局,并按照分位数原则分级(由高至低:Ⅰ至Ⅵ)后进行分析。结果表明,土壤有机质和氮元素含量是影响研究区土壤肥力的重要因素,在土壤肥力综合评价中的权重系数较大。研究区土壤肥力呈西部高而东北部低的空间格局,空间异质性大。其中,邵武市和光泽县土壤IFI平均值较高,土壤肥力质量好。邵武市土壤肥力均在Ⅱ等级以上,而光泽县土壤肥力均在Ⅲ等级以上,两县中的I等级土壤占Ⅰ等级土壤总面积的84.54%。采用Fuzzy综合评判法能够准确、有效地评价土壤肥力等级,结合插值方法适于把握区域土壤肥力的空间格局特征。
soil nutrient data derived from field sampling was used to evaluate soil fertility of tobacco planting areas in Nanping. The evaluation could provide basic information for soil diagnosis and management. The soil fertility indexes of all sampling plots were evaluated by Fuzzy integrated fertility index （IFI） method, and then were interpolated to a raster dataset by ANUSplin interpolation method. The dataset was graded to six levels （from high to low：I to VI） by quantile method. The results showed that soil organic matter and nitrogen content exerted as crucial factors affecting the soil IFI index, due to their important roles in the biogeochemical cycle. Spatial pattern of the soil IFI showed a decreasing trend from west to northeast with a highly spatial variation in the studied areas. The highest index was found in the west part including Shaowu City and Guangze County, which accounted for 84.54%of total I-level soil areas. The soil IFI of the entire Shaowu City exceeded II-level, while the soil IFI of the entire Guangze County exceeded III-level. The Fuzzy IFI method provides an efficient approach to quantify soil fertility, and could detect spatial patterns of regional soil fertility when coupled with the interpolation method.
出处
《中国烟草科学》
CSCD
北大核心
2016年第4期24-29,共6页
Chinese Tobacco Science
基金
福建省烟草公司南平市公司科技项目(NYK2015-03-03)
福建省烟草公司南平市公司技术开发项目[闽烟合同(2014)182号]
