Plant color landscape plays an important role in improving the quality of visual landscapes, regulating the emotion of landscape space, and highlighting the characteristics of urban landscapes. How to reasonably quantify and create rich plant color landscapes to achieve the best visual perception of the plant color landscape at different visual scales, so as to better meet the aesthetic needs of the public, has become a hot and difficult issue in the plant color design and application. Therefore, this article selects four typical urban parks in Nanjing to study the color characteristics of plant communities. The natural color system color card is used to extract plant color data. The color harmony and suitability degree of the plant community and external environment are quantitatively evaluated according to the Moon‐Spencer (M‐S) color harmony theory. The correlation between the chromaticity difference, color harmony, and color suitability of the plant landscape color is strong, whereas that between the chromaticity difference and lightness difference of the plant landscape color is weak. Among the four urban parks, the color harmony is the highest, and the appropriate color is the lowest in Xuanwu Lake Park. In addition, among the 12 selected plant community landscapes, the plant community number A3 in Xuanwu Lake Park has the highest color harmony and D3 in Gulin Park has the lowest color harmony. In short, the quantitative study of the plant community landscape color can provide new ideas for improving the optimal allocation of the plant community landscape color in urban parks.
Plant landscapes are fundamental components of the green space of urban parks and are often dynamic, changing throughout the year. Winter is a season with poor plant landscape effects in urban park green spaces. However, plant community landscapes in the winter in urban park green spaces could be further optimized. Here, we conducted scenic beauty estimation (SBE) of the landscape factors in 29 winter plant communities in four typical urban parks in Yangzhou, China using partial correlation analysis and multiple linear regression. The standard SBE values of the 29 plant communities ranged from-0.981 to 1.209. Complex plant community landscapes with abundant plant species, beautiful plant community morphology and obvious seasonal changes generally received high scenic beauty scores. Six landscape factors, including the diversity of plant species, the proportion of evergreen tree species, the morphological characteristics of plants, the ground cover rate, the overall sense of harmony and the color composition, greatly influenced the scenic beauty of the plant landscape in the winter. Generally, the results of this study provide insight into how the plant community landscape in urban parks could be improved.
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