Evaluation of the winter landscape of the plant community of urban park green spaces based on the scenic beauty esitimation method in Yangzhou, China

Abstract

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.

Effects of Nitrogen Exponential Fertilization on Growth and Nutrient Concentration of Hydrangea macrophylla Seedlings

“…Plant growth index (PGI) is important indicators for estimating the quality of ornamental plants which are commonly used in landscape architecture application. The PGI is significantly related to plant height and canopy diameter, and these two parameters are important indicators for estimating the quality of seedlings [17]. In this study these two indicators of fertilized seedlings at EF1 and EF2 treatments were significantly higher than those under the CK treatment.…”

Quantitative study on landscape colors of plant communities in urban parks based on natural color system and M‐S theory in Nanjing, China

“…In the plant landscape design, in addition to in‐depth understanding of the morphological, physiological, and ornamental characteristics of plants, the collocation of plant community colors should also be carefully studied. Therefore, there is still space for further research on the color of the plant community 5,6 . The color extraction method of a vegetative landscape determines the effect of color evaluation 7 .…”

Gender preference on the quality of landscape aesthetic of urban agriculture

“…Changes in socioeconomic conditions, such as increased income and leisure time (Li et al, 2020a) and pandemics (Chenarides et al, 2021;Geng et al, 2020;Khan et al, 2020;Xie et al, 2020), have increased the number of visitors to green open spaces such as parks and urban agriculture as a form of recreation to reduce stress (Khan et al, 2020). It means that the aim of meeting urban food needs to lead to sustainable agriculture.…”

“…The estimation method of SBE is deemed sufficient (Mo et al, 2021). It is widely used to evaluate landscape quality with a more valid and reliable psychophysical approach (Peng & Han, 2018) when compared to subjective evaluation (Li et al, 2020a). Thus, aesthetic evaluation using the SBE method can estimate more objectively the aesthetic value of a landscape.…”

“…Research on the beauty preference of various research objects with the application of SBE has been widely carried out in various countries as a driving factor for visual landscape preferences in the Czechosklavian landscape area (Skřivanová et al, 2014). Likewise, the aesthetic quality assessment is conducted to soil and water (Peng & Han, 2018) and city parks (Shi et al, 2020) in Taiwan, as well as the beauty of tree colours (Wang et al, 2020) and urban park landscapes (Li et al, 2020a) during autumn in China. It has also been researched in Indonesia, such as on coastal tourism area landscape planning (Budiyono et al, 2013) and cultural-based landscape evaluation (Nurfaida et al, 2019).…”