| The garden plant landscape is a unity of time and space.With the changes of the four seasons,the plant presents different seasonal landscapes of plants in spring,summer,autumn and winter.However,the landscape construction of spring,summer and autumn where more attention is paid to plant landscape However,the characteristics of the scenery and landscape that distinguish it from other seasons in winter are often overlooked.There are many academic studies on the evaluation of the beauty of plant communities in spring,summer and autumn at home and abroad,but the academic research on the beauty of plant communities in winter is limited.Therefore,it is of great significance to ascertain the main factors affecting the winter beauty of plant communities,such as program evaluation before urban green space construction,landscape prediction,post-completion operation management,and transformation,improvement,and improvement of existing green space.In terms of climatology,the winter season in the Yangtze River Basin takes a long time in the year.According to meteorological data,the number of winter days in Hefei reached 100 days in 2017,exceeding the normal single-quarter period of three months.This article,by consulting literature and books,determines the factors affecting the beauty of winter plant communities on the basis of fully excavating the winter ornamental characteristics of plants.Hefei City Huancheng Park was selected as the research object,and the representative plant community samples that can clearly reflect the beauty factor were selected,and the selected plant community samples were surveyed and counted,and the information was recorded.The scenic beauty students,gardeners,and urban residents of the three groups of controlled testers used the beautyfulness evaluation method(SBE method)to score the beauty score and the beauty factor scores of 20 photos of different typical winter communities,and evaluated the evaluation data.SBE value standardization,correlation analysis between different test groups,partial correlation analysis of influence factors of beauty,kicking out less influence factors,regressing the remaining significant factors and SBE standard values to construct a beauty evaluation model,Plant Community Winter Landscape Optimization Suggestions.Through the 80 valid data,the winter beauty scores of 20 plant communities were standardized.It was concluded that the higher standard values of plant community winter beauty scores were No.6,No.10,and No.10 plant communities respectively,and the lower ones were No.14,No.15 and No.20 plant communities;the correlation analysis of the landscape evaluation of different test control groups shows that the correlation between gardening students(U)and garden practitioners(V)is the best.Garden The relevance of the landscape assessment results of the employees(V)and urban residents(W)is the worst;the winter plant communities are affected by the partial correlation analysis of the impact factors(K1-K12)on winter beauty of plant communities and the integrated standardized SBE values.The influence factors of the SBE value from high to low were as follows:plant art composition(K5)>winter plant morphology(K1)>evergreen deciduous ratio(K9)>winter plant texture(K4)>winter light transmittance(K11)>Abundant plant species(K7)>Winter plant color(K3)>Winter sight control(K10)>Undergrowth vegetation coverage(K8)>Winter plant mass(K2)>Winter plant health status(K12),where:Winter plant morphology,winter plant weight,winter plant color,plant art composition,plant level,plant species richness,evergreen deciduous ratio,winter transmittance and Nine factors,such as“Plant Health Status in Winter”,were positively related to the winter beauty of plant communities.Three factors,“Winter Plant Texture”,“Underground Vegetation Coverage”and“Winter Sight Control,”and the winter beauty of plant communities were presented.Negative correlation;After the analysis of 7 partial correlation coefficients,the landscape factor with the least correlation was eliminated at a time,and the 6 factors that have a great influence on the winter beauty of the plant community were retained.Once again,regression analysis was used to establish a mathematical model:Y=-0.946+0.012K1-0.014K4+0.112K5+0.015K7+.0.0132K9+0.012K11(R2=0.914)The partial correlation analysis of the landscape factors showed that the linear relationship between the beauty value Y and the landscape factors K1,K4,K5,K7,K9,K11 was significant(P<0.1).Based on this,according to the six factors that have a great influence on the winter beauty of plant community,the corresponding suggestions for optimizing the winter beauty of plant communities were proposed. |