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机构地区:[1]昆明理工大学,云南昆明650000
出 处:《热带作物学报》2015年第4期753-758,共6页Chinese Journal of Tropical Crops
基 金:国家自然科学基金(No.41261043)
摘 要:借助GIS和地统计学方法对研究区土壤全氮、有效磷、速效钾3种土壤养分的空间变异特征进行了分析,结果表明:全氮、有效磷、速效钾符合指数模型;有效磷、速效钾的块金效应25%<Co/(Co+C)<75%,表现出中等的空间相关性,说明由结构性因素和随机性因素共同起作用发挥影响;全氮的块金效应Co/(Co+C)<25%,表现出强烈的空间相关性,说明空间变异主要受结构性因素影响。通过普通克里格插值(Kriging),并进行分级,氮、磷、钾3种养分含量总体丰富。通过单变量方差(LSD)分析,土壤母质、地貌类型、土壤类型、不同土壤利用类型、海拔、坡度、降水量、温度、灌溉保证率等因素影响着研究区耕地土壤养分含量水平。By the method of geostatistics combined wit h GIS, the spatial variability of three soil nutrients including total N, available P and available K in Changning County was studied.The statistical analysis showed that total N, available P and available K were best described by the exponential model; Nugget/Sill of available p and K rangend from 25%-75%, presented moderate spatial dependence and affected by structural and random factors; and Nugget/Sill of soil total N was lower than 25%, presented moderate strong spatial correlation and mainly affected by structural factors. By using ordinary Kriging interpolation (Kriging) and the nutrients criterion of classification, it was found that the contents of nitrogen, phosphorus, potassium were abundant in the study area. By univariate analysis of variance (LSD), the content level of soil nutrient was affected by soil parent material, topography type, soil type, types of soils, elevation, slope, precipitation, temperature and other factors.
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