Study On The Green Quantity Of Several Common Shrubs In Baotou

In this paper,the green quantity of seven common deciduous shrubs in Baotou was studied.The study can evaluate the ecological benefit of Baotou Green space and provide scientific data for future landscape arrangement.According to the relationship between the green amount of seven common shrubs and the data of their morphological characteristics,the unitary regression equation and the binary regression equation of each shrub are obtained,and whether the selection of trees meets the demand of the city for green amount or not is analyzed,whether the ecological benefits of the tree species can be brought into play.From the view of science,economy and landscape,we should plan the tree species reasonably,consider the characteristics of the tree species as well as the green quantity of the tree species,and combine the ornamental characteristics and ecological functions of the tree species,so as to adapt to the local conditions and plant scientifically.Based on the results of the survey and analysis,the following conclusions can be drawn:(1)Regression equation of green quantity of seven common small trees and shrubs.Rosa xanthina Lindl's univariate regression equation:W=6.315H1-8.361 R2=0.629 Rosa xanthina Lindl's bivariate regression equation:W=4.348H1+5.517H3-7.326 R2=0.708 Lonicera maackii(Rupr.)Maxim's univariate regression equation:W=2.933H2-2.903 R2=0.873 Lonicera maackii(Rupr.)Maxim's bivariate regression equation:W=1.123H1+2.192H2-3.483 R2=0.892 Amygdalus triloba's univariate regression equation:W=14.165H1-20.566 R2=0.903 Amygdalus triloba's bivariate regression equation:W=10.677H1+3.005H2-2 1.806 R2=0.910 Sambucus williamsii Hance's univariate regression equation:W=8.550H2-16.622 R2=0.857 Sambucus williamsii Hance's bivariate regression equation:W=3.255H1+6.284H2-17.841 R2=0.892 Ligustrum obtusifolium Sieb.et Zucc's univariate regression equation:W=6.419H1-7.800 R2=0.869 Ligustrum obtusifolium Sieb.et Zucc's bivariate regression equation:W=3.779H1+1.837H2-7.038 R2=0.921 Syringa oblata Lindl's univariate regression equation:W=6.911H2-11.681 R2=0.755 Syringa oblata Lindl's bivariate regression equation:W=4.676H1+4.050H2-15.899 R2=0.794 Ulmus pumila'Jinye's univariate regression equation:W=1.393H2-0.679 R2=0.880 Ulmus pumila'Jinye's bivariate regression equation:W=0.436H1+1.007H2-0.882 R2=0.923In the equation,W is green,H1 is plant height,H2 is average canopy width and H3 is canopy thickness.The univariate linear regression equation was obtained according to the coefficient of goodness of fit with the highest correlation among the three morphological indexes.after the seven shrubs were measured separately,the best morphological index data were obtained,and the corresponding regression equation of green quantity was obtained.Binary linear regression equation is obtained by selecting two high correlation goodness-of-fit coefficients from the data of three morphological indexes and the measurement accuracy is higher,so a tree species can be measured more accurately.(2)Relationship between average three-dimensional green amount of seven shrubs.The sequence of the average three-dimensional green content measured from big to small is:Amygdalus triloba(12.919m3)>Syringa oblata Lindl(11.321m3)>Sambucus williamsii Hance(8.331m3)>Rosa xanthina Lindl(6.215m3)>Ligustrum obtusifolium Sieb.et Zucc(3.187m3)>Lonicera japonica(1.917m3)>Ulmuspumila'Jinye'(0.524m3).Therefore,Amygdalus triloba and Syringa oblata Lindl had the highest amount of green,a larger crown,dense foliage and tall trees.In high-density planting of plants under the tree daylighting will have an impact,so planting to pay attention to density.Sambucus williamsii Hance,Rosa xanthina Lindl and Ligustrum obtusifolium Sieb.et Zucc have less green content,lower in height,and have smaller crowns than the front shrubs.Therefore,as far as possible to choose more open field planting,play the role of decorative l andscape.