The Research On Quantity Classification Of Vegetation Method In Changbai Mountain Academy Of Experimental Base

At present, quantity classification of vegetation method is build plots at first,thenaccording to plant species similarity and combined with environmental factors indifferent plots to distinguish community types. This method has important ecologicalsignificance. But this work is hard to non-professional researchers, at the same time thismethod is time consuming and can’t achieve fast identification of vegetation types inthe field.The article in order to build a new rapid quantitative classification method hasresearched five kinds forest types different indicators in Experimental base ChangbaiMountains Academy of Sciences. Five kinds forest types are Weed trees, Birch forest,Poplar Forest, Korean pine broadleaf forest and Olgensis.The new method through thedifferent forest types selected plots and measure the selected indicators,then based onresult of indicator’s Principal component analysis to get Comprehensive indicatorwhich is important for Forest type classification. Finally,to find the Comprehensiveindicator’s Value range,then achieve different forest types in the field of rapididentification and classification.the paper selected eight indicators are Leaf area index, Soil carbon flux,Available nitrogen, Available phosphorus, Available phosphorus,Soil PH,soiltemperature,soil moisture,soil salinity.The researches show in orde to getComprehensive indicator that the eight indicators has Significant correlation andDeleting index Soil carbon flux and gain three principal components. According tothe value of the five indicators of forest plots of different authentication type analysis,comparison comprehensive index score range to distinguish different plot’s foresttype.