Particulate matter (PM), including PM₁₀ and PM_2.5, has a major impact on air quality and public health. It has been shown that trees can capture PM and improve air quality. In this study, we used two-way ANOVA to investigate the significance of micro-morphological leaf surface characteristics of green trees in capturing PM at different parks in Beijing. The results show that leaf structure significantly impacts the ability of plants to capture PM. Pinus tabuliformis Carr. and Pinus bungeana Zucc. were mainly impacted by the density of stomata, waxy cuticle, and epidermis, while the major contributor to PM retention in other test trees, including Acer truncatum Bunge, Salix matsudana Koid., Populus tomentosa Carr. and Ginkgo biloba Linn. was leaf roughness. There were significant variations in leaf-droplet contact angle (representative of leaf wettability) and the ability of trees to capture PM (p < 0.05): the bigger the contact angle, the less able the plant was to capture particulate matter.

For forest park managers and designers, it is very important to provide forest trails and high–quality forest landscapes that meet visitor’s needs. In this study, based on demographic characteristics, our main purpose is to analyze whether the preferences of visitors for different trails differ, and to discuss whether forest park visitors’ satisfaction is affected when preferences for choosing trails change, mainly in order to improve knowledge about visitors’ needs for forest walking spaces. Through this analysis, we can aid in the planning and management of forest parks to improve visitors’ experiences. We mainly consider five attributes, namely, sex, age, number of visitors, number of visits and duration of stay in the park, in a questionnaire, and use the Kruskal–Wallis Test and Mann–Whitney U Test to analyze multigroup data in “SPSS for Windows”. The results are as follows: (1) Visitors with different attributes exhibit significant differences in terms of their choices of forest trails and the evaluation of visitor satisfaction in the duration of stay. (2) The correlation analysis showed that trail condition factors, such as the degree of difficulty and facility status, affect the satisfaction evaluation of tourists on many levels. In addition, the number of visits by visitors is negatively correlated with the preference for a forest trail based on recreational indicators. (3) Compared to visitors who stay in the forest for a short amount of time, visitors who remain in the forest for longer have a higher satisfaction level. Based on these results, we recommend that parks consider the number of visits (visiting experience) and the duration of stays in the forest when planning walking routes to more effectively plan forest park trails.

Background: In recent years, increasing attention has been given to the recovery effect of the forest environment on physical and mental health. Therefore, providing users with a high-quality forest landscape space is a very important research topic for forest landscape designers and forest resource managers. Main purpose: From the perspective of different seasons, this study explores the differences in landscape perceptions and physical and mental recovery of users when they experience different forest recreation spaces and the interactions between them. Methods: First, this study used virtual reality video experience and questionnaires for participants. Then, the paired-samples t test, one-way ANOVA and the independent-samples t test were used for statistical analysis. Finally, we also used structural equation models to analyze the relationship between landscape perception and recovery. Main results: (1) The restoration effect and perception of forest recreation spaces on people are influenced by space types and seasonal factors. (2) People’s restoration from forest environments is a gradual process from spatial cognition to emotional response. (3) The perception of the natural attributes and form of the recreation space plays a key role in the restorative effect of the environment to people, while the natural form is more important in spring than autumn. Based on the above conclusions, we suggest that the characteristic factors of the landscape environment and their different restoration effects for users in different dimensions should be considered when planning forest recreation space.

Background: People are paying increasing attention to urban forest landscapes, and recreational landscape spaces (providing recreation and viewing functions) are an important part of the urban forest landscape. Visual tracking technology is a flexible and accurate modern research method. When this technology is applied to forest landscape evaluation, it can assist in explaining the content that could not be studied in depth in the past and has high application value. However, although an eye tracker can tell us what the user is looking at, it cannot tell us why they are looking at it or how they feel after seeing it. To this end, we combined a 7-point spatial cognition questionnaire and satisfaction preference to understand the visual behavior (fixation point time, number of fixation points, etc.) and preference satisfactions of users in recreational landscape spaces to help designers understand what elements attract people’s visual attention and improve the design of these spaces. Methods: We used eye-tracking and cognitive questionnaires to obtain experimental data and used factor analysis and linear regression analysis of SPPS 23.0 to analyze data. Main purpose: Clarify the factors affecting people’s visual behavior and satisfaction preferences in forest recreation spaces to provide theoretical guidance for planning and designing forest landscapes. Main results: (1) Places with more frequent eye movements have relatively lower satisfaction preferences; (2) The spatial perception factors affect participants’ visual behavior, and satisfaction preference is different based on many indicators (WCB, WSO, WSN, SSH, etc.) in forest recreation space; (3) The professional background education affects the participants’ visual-behavior evaluation of the recreational landscape space and also affects the participants’ focus on the landscape preference. When the spatial type of forest recreation space changes, the spatial perception factors that affect the participants’ visual behavior and satisfaction preferences also change. Based on the above, we suggest that in forest recreation space, the spatial perception indicators should be improved according to the characteristics of space itself, then improve the satisfaction preferences for the scene in a targeted manner to make participants produce effective and positive visual behavior. Meanwhile, for a well-built forest park, we should provide the landscape node with the best visual effect and satisfaction preference for tourists from different professional backgrounds on the park’s tour route map based on the characteristics of the forest recreational landscape space.

Background: Elements of forest landscape spaces are important media through which landscape information is conveyed. Therefore, it is very important for designers and managers of forests to explore the relationship among visual behaviour, landscape preferences, and element characteristics. Purpose: This study took forest landscape spaces as the subject, discussed the characteristics of visual behaviour and cognitive preferences for landscape elements, and analysed the relationship among element characteristics, visual behaviour, and cognitive preferences in forest landscape spaces. The findings will help designers better plan the spatial composition of forest landscapes. Methods: We collected data from 53 graduate and undergraduate students and then used Spearman’s rho correlation analysis and multiple linear regressions to analyse the experimental data. Main results: 1. As the composition of forest landscape spaces varies and landscape elements are combined in different ways, visual behaviour towards landscape elements also differs. 2. People are easily attracted by highly fascinating landscape elements, but they will spend more time on low fascinating landscape elements. 3. Element characteristics significantly affect visual behaviour and cognitive preferences. Elements with high complexity or a large proportion of elements take more time for the participants to recognize, which reduces the evaluation of satisfaction.

Forest landscape spaces have positive effects on human physical and mental health. Meanwhile, gender is an important biological factor in differences in human physical and mental responses when facing stress. Therefore, it is necessary to discuss the gender characteristics and differences of people’s experiences of restoration in forest landscapes. Meanwhile, it is urgent to attend to the issue of young adults’ physical and mental health. This study aimed to clarify the impact of forest landscape exposure on physical and mental restoration and preferences in young adults of different genders and to explore the relationship between them. Six representative forest landscape spaces found in field research in Liaoning were presented to participants through virtual reality (VR) video. Physiological indicators (blood pressure, heart rate, and pulse), mood indicators (simplified profile of mood states), and preference scores of young adults (n = 319) before and after viewing the forest landscape videos were collected. Analysis of differences and Spearman’s rho correlation analysis were used to statistically analyse the data. Our results indicated that overlook landscape space, static water landscape space, and coniferous forest landscape space had differential restorative effects on participants’ physical and mental health. Male and female participants had different preferences regarding the forest landscape spaces. Meanwhile, there were strong correlations between participants’ preferences and restorative effects. Our findings provide preliminary practical basis for forest landscape planning that corresponds to the health needs of tourists of different genders to achieve optimization of health benefits of urban forest resources.