摘要：
<jats:title>Abstract</jats:title><jats:p>Understanding the influencing effect of meteorological factors and air pollutants in the campus plot and the relationship between them is an important topic in the planning and design of campus green space. The changes of pollutant concentrations and meteorological factors in campus green space have certain patterns and specific influencing factors. In this study, we selected four sample plots in Nanjing Forestry University as the research objects, and collected various environmental parameters of the four plots on July 25, 2022. The results showed that the main influences of meteorological factors are the type of the underlying surface of the site, the degree of plant canopy density and the shade coverage area of the building. These factors mainly have a great influence on the value of temperature and humidity. The comprehensive influencing factors can be concluded that the cooling and humidifying effect of the site is ranked as follows: forest > lawn > asphalt road > concrete Square. The main influencing factors of pollutants are: illumination, wind speed, temperature and relative humidity. Among them, illumination and temperature have a negative correlation with PM<jats:sub>2.5</jats:sub>, wind speed and relative humidity have a positive correlation with PM<jats:sub>2.5</jats:sub>. Our research shows that the adjustment of campus green space factors can reduce the concentration of pollutants by changing the meteorological factors.</jats:p>
关键词：
population spatial pattern;Hydrangea paniculata population;clustering intensity;pattern size;Yangming Mountains in Hunan Province
摘要：
The mountaintop mossy dwarf forest is a community formed of evergreen broad-leaved forests in subtropical mountains under extreme climatic and environmental conditions. Understanding the distribution pattern and scale of the subdominant tree species among this forest type can provide insights for effective forest management measures and the mechanisms of community assembly in subtropical forests. In this study, we established 3 plots to explore the distribution patterns of the subdominant species in the mountaintop mossy dwarf forest in three directions in the Yangming Mountains in Hunan Province, China. An adjacent lattice method was used to survey the subdominant species (i.e., Hydrangea paniculata ). At seven spatial scales, aggregation intensity index such as variance /mean ratio ( v/m ), negative binomial parameter ( k ), clumping index (I), mean crowding index ( m* ), patchiness index ( m/m* ), aggregation index ( Ca ), and green index ( GI ) were used to analyze distribution patterns of populations. The results showed that the subdominant species only in the northern plots presented a clumped distribution on 25 m 2 sampling scale. However, with increasing surveying scales, the distribution patterns changed from clustered to uniform or random. The spatial distribution characteristics at different developmental stages showed that population aggregation intensities developed from strong via weak to random. Population dominance and resultant distribution patterns were mainly caused by biological characteristics such as seed propagation and vegetative reproduction, and the influence of environmental factors, such as plot orientation and slope direction.
通讯机构：
[Chun Li; Xingyao Xiong] A;Authors to whom correspondence should be addressed.<&wdkj&>Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China<&wdkj&>College of Horticulture, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China
关键词：
plant community color;autumn color;color characteristic;aesthetic preference;scenic beauty estimation (SBE);principal component analysis (PCA);urban park
摘要：
<jats:p>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). RPH (ratio of primary hue), RP (ratio of primary color), RC (color-leafed index), RWC (ratio of warm and cool colors), and NC (number of colors) were the key factors affecting the SBE grade. Overall, RPH, RP, RC, and RWC positively influenced the SBE values, while NC 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.</jats:p>
作者机构：
[龙岳林] Horticulture & Landscape College, Hunan Agricultural University, Changsha, 410128, China;Hunan Institute of Science and Technology, Yueyang, Hunan 414000, China;[彭重华] College of Landscape Architecture, Central South University of Forestry and Technology, Changsha, 410004, China;[陈艳华] Horticulture & Landscape College, Hunan Agricultural University, Changsha, 410128, China, Hunan Institute of Science and Technology, Yueyang, Hunan 414000, China
通讯机构：
[Long, Y.-L.] H;Horticulture & Landscape College, China
