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基于因子分析法的北京九龙山土壤质量评价
引用本文:张连金,赖光辉,孔颖,孙长忠.基于因子分析法的北京九龙山土壤质量评价[J].西北林学院学报,2016,31(3):7-14.
作者姓名:张连金  赖光辉  孔颖  孙长忠
作者单位:(1.中国林业科学研究院 华北林业实验中心,北京 102300;2.北京市林业勘察设计院,北京 100029;3.国家林业局 调查规划设计院,北京 100714)
摘    要:对北京九龙山不同林分类型的土壤质量进行综合评价,为该区域森林抚育及土壤可持续利用提供参考依据。选取pH值、有机质、全氮、有效磷、碱解氮及速效钾6项土壤指标,采用因子分析法对10种林分的土壤质量进行综合评价。结果表明:1)所有林分的pH值和主要养分指标分别随着土层的加深逐渐上升与下降,且表土层与其它土层的土壤养分含量有较大的差异,pH值介于4.71与6.35之间,而各营养指标的最大值至少约为最小值的4倍; 2)各土层pH值、有机质+氮和磷钾3种主成分得分最低的分别是华北落叶松、樟子松和侧柏林;3)各土层综合得分排在前2名的都是灌木和白蜡林,而最低的分别是表土层的黄栌林和其余土层的樟子松林;4) 林分土壤质量优劣为:白蜡林>灌木林>糠椴林>栓皮栎林>华北落叶松林>侧柏林>油松林>黄栌林>五角枫林>樟子松林。其中,油松、五角枫和黄栌林的总体质量低且各养分都较缺乏,樟子松林的有机质和氮较缺乏,而侧柏和栓皮栎林磷钾较缺乏。因子分析法能客观准确地反映土壤质量,可用于土壤质量评价。

关 键 词:因子分析  土壤质量评价  林分类型  九龙山

 Evaluation of Soil Quality in Beijing Jiulong Mountain Based on Factor Analysis Method
ZHANG Lian-jin,LAI Guang-hui,KONG Ying,SUN Chang-zhong. Evaluation of Soil Quality in Beijing Jiulong Mountain Based on Factor Analysis Method[J].Journal of Northwest Forestry University,2016,31(3):7-14.
Authors:ZHANG Lian-jin  LAI Guang-hui  KONG Ying  SUN Chang-zhong
Institution:(1.Experimental Center of Forestry in Northern China,CAF,Beijing 102300,China;2.Beijing Forestry Monitoring and Planning Academy,Beijing 100029,China;3.Academy of Forest Inventory and Planning,State Forestry Administration,Beijing 100714,China)
Abstract:In order to provide references for the further forest tending and soil sustainable utilization,soil quality of different stands in Beijing Jiulong Mountain was comprehensively evaluated.Six soil fertility indexes,including the pH value,organic matter,total nitrogen,available phosphorus,available nitrogen and available potassium to comprehensively evaluate soil quality of 10 kinds of stands through factor analysis method.The results showed that:1) the pH value and soil nutrient contents of all stands rose and reduced gradually from the upper to lower soil layers,respectively.Meanwhile,there were significant differences in nutrient contents between the upper soil layer and other soil layers.The pH values were between 4.71 to 6.35,and the maximum of each soil nutrient content was about 4 times more than the minimum at least.2) The lowest scores of principal component in pH value,organic matter and nitrogen and phosphorus and potassium were the Larix principis-rupprechtii,the Pinus sylvestris var.mongolica and the Platycladus orientalis stands,respectively.3) The top two of soil comprehensive scores were the shrubbery and Fraxinus chinensis stands in all soil layers,whereas the lowest scores were respectively Cotinus coggygria in the upper soil layer and the P.sylvestris var.mongolica stands in the rest two soil layers.4) The soil quality decreased in the order of F.chinensis,shrubbery,Tilia mandschurica,Quercus variabilis,L.principis-rupprechtii,P.orientalis,Pinus tabulaeformis,C.coggygria,Acer mono and P.sylvestris var.mongolica.The overall quality was low and nutrients were relatively short for the stands of P.tabulaeformis,Acer mono and C.coggygria,the P.sylvestris var.mongolica stand had a shortage of the organic matter and nitrogen,whereas the phosphorus and potassium were deficient in both P.orientalis and Quercus variabilis stands.Factor analysis method could better reflect soil quality and could be used for soil quality evaluation.
Keywords:factor analysis method  soil quality evaluation  forest types  Jiulong Mountain
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