| Platycladus orientalis is the main afforestation species of artificial landscape forests in Beijing mountainous areas.At present,the research on the side of Berlin mainly focuses on aesthetic quality evaluation and low-efficiency forest transformation.Although the method of landscape quality evaluation is becoming more and more mature,there is still no arborvitae applied to production practice.At the same time,there is little research on the coupling relationship between the structure and color of the forest and the influence of color on the landscape quality.Therefore,this paper studies the relationship between the structure and the beauty(SBE)of the artificial landscape forest of Platycladus orientalis,and determines the classification standard of forest landscape quality which is convenient for production practice.At the same time,the coupling relationship between the structure of forest and the color patches in the forest is studied.The changing law and the influence mechanism of color on the landscape quality of artificial landscape forests of Platycladus orientalis in Beijing mountainous area were discussed.The main research contents of this paper are as follows:(1)According to the changes of the average growth of the DBH and the height of the tree and the growth of the annual growth,the arborvitae plantation in Beijing is less than 40 years old and is a young forest,and the 40-80 year is a middle-aged forest.Whether it is young or middle-aged forest,the diameter growth and volume growth of forest trees are in a strong growth process,and different site conditions have a greater impact on tree diameter and volume growth.(2)According to the correlation analysis between forest structure index and beauty(SBE),it is found that the effective space under the forest is significantly positively correlated with the beauty(p<0.01),and the average DBH,aspect ratio,perspective distance and beauty are significantly positive.Correlation(p<0.05),forest stand density,average branch height,shrub coverage,eanopy closure and beauty were significantly negatively correlated(p<0.05),while other forest structural indicators were not significantly correlated with beauty(SBE).The results of one-way analysis of variance showed that only the difference between the degree of canopy(p=0.016)and the effective space under the forest(p=0.016)reached a significant level.(3)Three independent structural factors were constructed by factor analysis,namely,intra-forest crowding factor(F1),intra-forest open factor(F2)and sub-forest height factor(F3),and their cumulative contribution rate reached 83.93%.It is good to reflect all the information about the forest.At the same time,linear regression,quadratic polynomial regression and quadratic polynomial stepwise regression were used to fit,and the beauty degree-forest structural factor model was obtained.Among them,the quadratic polynomial stepwise regression model has the largest R2(R2=0.571,p<0.001),and the model has the highest fitting precision,which can better explain the relationship between beauty and forest structure.(4)The structural quality index F is constructed with the weight contribution rate of the three structural factors,and the forest beauty(SBE)is taken into account.The TOPSIS method is used to classify the landscape quality of the artificial landscape forest in the mountainous area of Beijing mountainous area into three grades.lt is defined as high-quality landscape forest(Grade ?),good landscape forest(Grade ?)and low-quality landscape forest(Grade ?).The main characteristics of the forest with high quality of forest landscape are:high aesthetic quality and forest structure quality,the trees are thick and strong,the forest density is not too large,the height under the branches is high and the shrubs under the forest are low.It has a certain space under the forest and has high accessibility in the forest.(5)Correlation analysis found that:seven color plaque indicators are significantly correlated with the beauty of the scene(SBE),including plaque color uniformity(SHEI),plaque division index(DIV),plaque separation(SPL)),color plaque contrast(CPC)is significantly positively correlated with beauty(SBE)(p<0.01);CPB is significantly negatively correlated with beauty(SBE)(p<0.05);LPI,SHDI and beauty(SBE)There was a significant negative correlation(p<0.01).The one-way analysis of variance showed that only SHDI(p=0.040),SHEI(p=0.040)and SPL(p=0.045)showed significant differences among different beauty levels.(6)Through the gray correlation analysis,it is found that the correlation between the structure of the forest and the color patches is about 0.6,which is a weak coordination degree.The indicators with large coupling correlation include:intra-forest crowding factor(F1)and plaque separation(SPL)and color plaque contrast(CPC);intra-forest open factor(F2)and maximum plaque index(LPI),plaque Color diversity(SHDI)and color plaque contrast(CPC);understory height factor(F3)and maximum plaque index(LPI),plaque color diversity(SHDI),plaque color uniformity(SHEI),,plaque Block separation(SPL)and color plaque contrast(CPC).The color patches in the artificial landscape forests of Platycladus orientalis are moderately correlated with the structure within the forest.The effects of structural factors in the forest on color patches are different:the color patch indicators affected by different forest structural factors and the structural factors in the same forest are at different levels.The affected color patch indicators and the degree of influence on the color patches are not the same,and there is a relatively complex coupling relationship between the two. |
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