东北林业大学学报
東北林業大學學報
동북임업대학학보
JOURNAL OF NORTHEAST FORESTRY UNIVERSITY
2014年
10期
65-71
,共7页
大兴安岭%用材林%采伐强度%土壤理化性质%模糊聚类分析
大興安嶺%用材林%採伐彊度%土壤理化性質%模糊聚類分析
대흥안령%용재림%채벌강도%토양이화성질%모호취류분석
Daxing’ an Mountains%Timber forest%Cutting intensity%Physical and chemical properties of soil%Fuzzy clustering analysis
在大兴安岭用材林建立20个不同采伐强度的样地,然后采集样地的土壤并对其理化性质进行测定,以土壤pH 、有机质、全氮、全磷、全钾、水解氮、有效磷、速效钾、密度、含水率、最大持水量、毛管持水量、毛管孔隙度、非毛管孔隙度等14个土壤理化因子作为分类指标,采用模糊聚类分析法对20个样地的土壤进行分类,再用F-统计量确定最佳阈值(λ)。结果表明:当阈值λ为0.8483时,20个样地的土壤被分为3类,此种分类较为合理,分类结果与实际情况比较相符。其中:第一类土壤的有机质和全氮质量分数较低,土壤物理性质较差;第二类土壤的全磷和全钾质量分数较低,土壤物理性质较好;第三类土壤的有效磷和速效钾质量分数较低。采用模糊聚类分析法,对大兴安岭不同强度采伐后的样地土壤进行分类行之有效。
在大興安嶺用材林建立20箇不同採伐彊度的樣地,然後採集樣地的土壤併對其理化性質進行測定,以土壤pH 、有機質、全氮、全燐、全鉀、水解氮、有效燐、速效鉀、密度、含水率、最大持水量、毛管持水量、毛管孔隙度、非毛管孔隙度等14箇土壤理化因子作為分類指標,採用模糊聚類分析法對20箇樣地的土壤進行分類,再用F-統計量確定最佳閾值(λ)。結果錶明:噹閾值λ為0.8483時,20箇樣地的土壤被分為3類,此種分類較為閤理,分類結果與實際情況比較相符。其中:第一類土壤的有機質和全氮質量分數較低,土壤物理性質較差;第二類土壤的全燐和全鉀質量分數較低,土壤物理性質較好;第三類土壤的有效燐和速效鉀質量分數較低。採用模糊聚類分析法,對大興安嶺不同彊度採伐後的樣地土壤進行分類行之有效。
재대흥안령용재림건립20개불동채벌강도적양지,연후채집양지적토양병대기이화성질진행측정,이토양pH 、유궤질、전담、전린、전갑、수해담、유효린、속효갑、밀도、함수솔、최대지수량、모관지수량、모관공극도、비모관공극도등14개토양이화인자작위분류지표,채용모호취류분석법대20개양지적토양진행분류,재용F-통계량학정최가역치(λ)。결과표명:당역치λ위0.8483시,20개양지적토양피분위3류,차충분류교위합리,분류결과여실제정황비교상부。기중:제일류토양적유궤질화전담질량분수교저,토양물이성질교차;제이류토양적전린화전갑질량분수교저,토양물이성질교호;제삼류토양적유효린화속효갑질량분수교저。채용모호취류분석법,대대흥안령불동강도채벌후적양지토양진행분류행지유효。
We set up 20 plots in Daxing ’ an Mountains with different cutting intensity , collected the soil of each plot , determined their physical and chemical properties , and took 14 kinds of soil chemical and physical factors including the soil pH , the organic matter, the total N, the total P, the total K, the hydrolysis N, the available P, the available K, the bulk density, the moisture content , the maximum capacity , the capillary capacity , the capillary porosity and the non-capillary porosity . Then, we used the fuzzy clustering analysis method to classify the soil of 20 plots, and the F-statistic to determine the opti-mal threshold value of λ.When λis 0.848 3, 20 plots can be divided into three categories .The classification is the most reasonable , and the classification result is consistent with the actual situation .The organic matter and the total N in the first kind of soil are low , and their soil physical properties are poor , the total N and the total K in the second kind of soil are low, but their soil physical properties are better , and the available P and the available K in the third kind of soil are low.It is an effective approach to use fuzzy clustering analysis method for classifying the soil of the timber forest with differ -ent cutting intensities in Daxing ’ an Mountains .