摘要
调查研究了湘南低山红壤区油茶林土壤肥力质量,基于研究区采集的99个土壤样品数据,利用主成分分析法(PrincipalComponent Analysis,PCA)及相关数理统计分析法,计算了PCA中各因子的综合因子载荷(Norm值),建立了低山红壤油茶林土壤肥力质量评价的最小数据集(Minimum Data Set,MDS),确定了MDS为土壤有机质、速效钾、碱解氮、全钾和有效磷。研究结果可为湘南低山红壤油茶林土壤肥力质量评价因子的选取提供依据,为油茶林土壤肥力的评价及油茶林复垦和施肥提供指导。
The soil fertility quality of oil camellia forest in red soil area in low mountain of southern Hunan was investigated.Based on data of 99 soil samples collected from study area,the principal component analysis method(PCA) and its correlated mathematical statistics method were used to calculate the Norm value for each factor in PCA,to establish the minimum data set(MDS) for evaluating soil fertility quality of oil camellia forest in red soil area of low mountain,and the MDS was determined as organic matters,available potassium,available nitrogen,total potassium and available phosphor of soil.The results can provide basis for selecting evaluation factor for soil fertility quality,and also can provide guidance for evaluating soil fertility and reclamation and fertilizing for oil camellia forest in red soil area of low mountain in south Hunan.
出处
《湖南农业科学》
2013年第2期44-46,共3页
Hunan Agricultural Sciences
基金
国家科技支撑计划课题(2009BADC6B005-6)
国家自然科学基金面上项目(41071204)
关键词
主成分分析
最小数据集
油茶林
肥力质量
principal component analysis
minimum data set(MDS)
oil camellia forest
fertility quality
