基于主成分分析的土壤养分综合评价

doi:10.13866/j.azr.2014.05.06

摘要/Abstract

摘要： 基于蓝田县农耕区2012年924份土壤样本数据:有机质、碱解氮、速效钾、有效磷4个养分指标,通过主成分分析(PCA)法进行土壤含量综合评价;将各土壤养分指标作为协变量,根据相关性强弱控制进入模型的先后次序,对主成分分析综合得分(IFI)进行协同克里格(COK)插值,并将结果按自然裂点法(jenks)分为5类进行空间评价。土壤养分综合评价结果为:IFI值在22.88～87.51,平均值为47.10,标准差为10.72,变异系数为22.76%,属中等变异程度;空间评价结果为:样区土壤养分含量IFI有由孟村—金山镇一线向西北和东南降低的趋势,IFI值多为中等偏下,即在中等及其以下的土壤养分含量空间分布中占全区面积的73.63%,高养分含量土壤占全区面积的21.2%,极高养分含量土壤占全区面积的5.17%。

关键词: 土壤养分, 主成分分析, 综合评价, 协同克里格, 空间分布, 蓝田县, 陕西

Abstract: In this paper, the soil nutrient content in Lantian County, Shaanxi Province, China was assessed based on the data of 924 soil samples collected from the agricultural districts in 2012, and the indexes included the contents of organic matter, alkali hydrolysable N, available P and available K. Moreover, the method of extracting the principal component contribution was used to assess comprehensively the soil quality. The contents of soil nutrients were taken as the covariants, the order of entering the model was controlled based on the correlation, and the comprehensive scores were gotten using the method of Cokriging. The spatial assessment was conducted by parting the results into five portions according to the method of jenks. The results of comprehensive assessment of soil nutrient content revealed that, when the IFI varied in a range of 22.88-87.51, the average value, standard deviation and variable coefficient were 47.10, 10.72 and 22.76% respectively, and the variation was moderate. The spatial assessment also revealed that there was a decrease trend of soil nutrient content from Jinshan Town northwestward and southeastward, and most of the soil quality was moderate or low.

Key words: soil nutrient content, principal component analysis, comprehensive assessment, Cokriging, spatial distribution, Lantian County, Shaanxi Province

黄安, 杨联安, 杜挺, 王安乐, 张彬, 袁刚. 基于主成分分析的土壤养分综合评价[J]. 干旱区研究, 2014, 31(5): 819-825.

HUANG An, YANG Lian-an, DU Ting, WANG An-le, ZHANG Bin, YUAN Gang. Comprehensive Assessment of Soil Nutrients Based on PCA[J]. Arid Zone Research, 2014, 31(5): 819-825.

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