The Relationship between the Color Landscape Characteristics of Autumn Plant Communities and Public Aesthetics in Urban Parks in Changsha, China

Yuanyuan Luo, Jun He, Yuelin Long, Lu Xu, Liang Zhang, Zhuoran Tang, Chun Li () and Xingyao Xiong ()
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Yuanyuan Luo: College of Horticulture, Hunan Agricultural University, Changsha 410128, China
Jun He: College of Horticulture and Landscape, Yunnan Agricultural University, Kunming 650000, China
Yuelin Long: College of Horticulture, Hunan Agricultural University, Changsha 410128, China
Lu Xu: College of Horticulture, Hunan Agricultural University, Changsha 410128, China
Liang Zhang: College of Architecture and Urban Planning, Hunan City University, Yiyang 413000, China
Zhuoran Tang: College of Oriental Science & Technology, Hunan Agricultural University, Changsha 410128, China
Chun Li: College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China
Xingyao Xiong: College of Horticulture, Hunan Agricultural University, Changsha 410128, China

Sustainability, 2023, vol. 15, issue 4, 1-27

Abstract: Contemporary landscape architecture studies have paid close attention to the interactions between public aesthetic preferences and the landscape environment. Scenic beauty has become an important evaluation indicator of landscape quality. The quality of the plant color landscape is an important factor affecting scenic beauty. Exploring the relationship between the composition rules and internal properties of autumn plant color landscapes in urban parks and public aesthetic preferences can provide new ideas for the evaluation and design of plant community color landscapes. Taking 12 parks in Changsha City, Hunan Province, China, as the study area and 85 plant communities as the sample plots, scenic beauty estimation (SBE) was used to evaluate the autumn plant color landscape of urban parks. ColorImpact software was used to extract the color values of each plant community. Fifteen original color element indicators were determined, and the data were statistically analyzed by principal component analysis (PCA), one-way ANOVA, multiple comparison analysis and systematic cluster analysis. Four principal components were extracted to construct the characteristic indices and a comprehensive model of the color landscape quality of autumn plant communities. The four characteristic indices showed significant or extremely significant differences among the five SBE grades. From the overall trend, the SBE grades showed a positive correlation with PC1 (primary and adjunctive color index), PC2 (color structure and property index) and PC3 (autumn-color-leafed index) and a negative correlation with PC4 (intersperse color index). R PH (ratio of primary hue), R P (ratio of primary color), R C (color-leafed index), R WC (ratio of warm and cool colors), and N C (number of colors) were the key factors affecting the SBE grade. Overall, R PH , R P , R C , and R WC positively influenced the SBE values, while N C negatively influenced the SBE values, and five to seven colors were more moderate. The quality of the color landscape can be improved by creating plant communities with three types of color composition: warm-toned dominant type, warm- and cold-toned contrast type, and multicolor harmonic type. The results provide a reference for the evaluation, design and construction of autumn plant color landscapes in urban parks.

Keywords: plant community color; autumn color; color characteristic; aesthetic preference; scenic beauty estimation (SBE); principal component analysis (PCA); urban park (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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