Urban green spaces, vital public infrastructure, have received limited research on how their morphology affects visual perception preferences. Using data from ten parks, we generated green space maps from high-resolution satellite imagery and calculated indicators, such as quantity, fragmentation, connectivity, and shape complexity. By combining the Mask2Former image segmentation deep learning model with a multi-objective regression model and structural equation modeling, we analyzed the relationship between green space morphology and visual perception preferences, controlling for geographic and demographic factors. The results showed that green spaces with tighter connectivity, aggregation, continuity, and shape complexity led to more distinct visual perceptions. This relationship was mediated by the proportion of landscape elements. The distribution, shape, and connectivity of urban green spaces had an independent impact on individual visual perception, far exceeding the influence of quantity alone. The spatial morphology of urban green spaces should be incorporated into health-oriented urban space design, exploring the global interest in how green spaces impact urban human well-being, and providing valuable insights for urban green space planning and health-driven urban space design.

Soundscape perception (SP) plays an important role in promoting tourist-place interaction and enhancing tourists’ environmentally responsible behavior (ERB). In this study, we defined SP as a second-order factor and investigated its relationships with place attachment (PA) and tourists’ ERB using structural equation modeling (SEM). Our aim was to identify how a soundscape could be improved to enhance the ERB of forest park tourists. Our results confirm the multidimensionality of SP, i.e., the three subdimensions of physical soundscape perception (PSP), psychological soundscape perception (SSP), and regional soundscape perception (RSP). Furthermore, our SEM results show that PA mediates the effect of the three subdimensions of SP on high-effort ERB (HERB). Our empirical results also reveal that the enhancement of tourists’ SSP will foster their ERB. This study therefore extends the multisensory landscape literature by offering insights into the relationship between SP, PA, and tourists’ ERB. Our findings provide empirical evidence for understanding the influence of SP on tourists’ ERB in forest parks and demonstrate that PA should be considered an important context for soundscape design.

A community landscape is intricately tied to the daily lives and livelihoods of its residents, and it significantly influences human behavior. Community co-management serves as a pivotal approach to fostering the harmonious coexistence between national parks and community dwellers, and it requires the extensive participation of community residents. Accordingly, this study aims to clarify the mechanism by which community landscape perception (LP) affects community participation (CP), with the ultimate goal of promoting widespread engagement. After conducting a survey of 564 residents from three entrance communities in the Sichuan region of the Giant Panda National Park, the data were analyzed using structural equation modeling. The results suggest the following: (1) Cultural landscape and living landscape have a direct impact on CP. The natural landscape can stimulate CP through fostering place attachment (PA) or a sense of responsibility (SR), while the production landscape only influences CP through PA. (2) The cultural landscape plays a crucial role in shaping a sense of belonging and responsibility within a community, while the production landscape is not effective in cultivating an SR. (3) PA can awaken residents’ SR and affect CP, playing a chain mediating role between community LP and CP.

Ecosystems and their services to society have exhibited dramatic degradation all over the world, and landscape planning based on ecosystem service (ES) science is a promising way to mitigate ES loss and improve human well-being. However, ecosystem health, which is crucial for intrinsic ecosystem values, may be overlooked in ES-based landscape planning. Therefore, we proposed a landscape functional zoning method by combining the ES and EH using the Jinan Southern Mountainous Area as a case study. Specifically, we first quantified and mapped six ESs (including regulating, cultural, and provisioning services) and three EH properties (ecosystem vigor, organization, and resilience). Then, we used coupling coordination analysis to determine the coordination of the ES and EH, and adopted bundle analysis to reveal ES-EH compositions. Finally, landscape functional zones were delineated by spatially overlapping the maps of ES-EH bundle types and coupling coordination degrees. The results show that the different ESs and EH properties exhibited uneven spatial distributions. In terms of the ES-EH coupling coordination degree, high values were located along the mountains and aggregated in the eastern part of the study area, and the Caishi town had the highest coupling coordination degree on the town scale. Furthermore, five ES-EH bundle types were identified, i.e., bundles of multifunctionality, subordinate multifunctionality, the highest crop production, ESs and EH properties of medium levels, and ESs and EH properties of low levels. Finally, nine landscape functional zones based on the ES-EH bundle and coupling coordination were identified, and the grids within one zone were homogeneous in terms of their ES-EH compositions and coupling coordination. This study can contribute to the integration of ES and EH into landscape planning and provides a zoning method as a spatial instrument to achieve synergic ES-EH management.

Urban parks provide diverse cultural ecosystem services (CESs), which are crucial for residents’ mental well-being. However, few studies have investigated how urban parks’ CESs and their interactions vary across seasons. In this study, we used the downtown area of Chengdu, China, as a case study, and evaluated urban parks’ CESs based on social media comments and further explored their seasonal dynamics. We then analysed the seasonal trade-offs/synergies of these CESs for service pairs using Pearson correlation and for multiple services using bundle identification. The results show the following: (1) Most CESs except for social interaction had the highest intensities in autumn, and recreational activities and education were the CESs with the highest and lowest intensities among the four seasons, respectively. Education service showed the greatest seasonal variation, while recreational activities and physical and mental recovery were stable among different seasons. (2) Some CES pairs exhibited trade-offs/synergies, but those relationships changed over seasons. Specifically, there were trade-off/synergy relationships between seven CES pairs in spring, three CES pairs in summer and autumn, and four CES pairs in winter. (3) In terms of the trade-offs/synergies among multiple CESs, we identified three types of CES bundles, i.e., physical and mental recovery- and aesthetics-dominated, inspiration- and education-dominated, and social interaction- and recreation-dominated bundles. More than 50% of the urban parks exhibited the physical and mental recovery- and aesthetics-dominated bundle in four seasons, and the seasonal change between this bundle and the social interaction and recreation-dominant bundle was the most obvious among all the bundle changes. This study revealed urban parks’ CES seasonal dynamics and identified the seasonal variations in CES trade-offs/synergies, providing a reference for CES management in urban parks.

With the acceleration of urbanization, there has been a growing focus on health concerns, particularly mental health. Multiple prior studies have shown a correlation between urban green space, architecture, green plants, and human health. Living plant architecture, which integrates architectural elements with green plants, possesses the defining features of both and represents a burgeoning manifestation of urban green spaces. It has the characteristics of improving the regional environment, reducing building energy consumption, and achieving sustainable development. Currently, few studies focus on the connection between living plant architecture and human emotional regulation. This research investigated the impact of three distinct architectural environments on emotional regulation: traditional architectural spaces, traditional buildings covered by plants, and living plant architectural spaces. All experimental sites were located in Wenjiang District, Chengdu, China. A total of 90 participants were randomly allocated into three groups, each consisting of 30 individuals (15 males and 15 females). Each subject was required to complete the spatial experience of a single site independently, and the duration of the experience was 15 min. The length of the spatial experience was the same for each group. During this period, the subjects were permitted to ambulate within the area and enjoy the scenery, but they were prohibited from engaging in strenuous physical activity. The subjects completed the Profile of Mood States questionnaire before and after the experiment, and the results were used as an indicator of the subjects’ emotional state. The results revealed that the living plant architectural space had the strongest effect on emotional regulation, with the order of living plant architectural space > plant-covered traditional architectural space > traditional architectural space. With a larger sample size, the results of this experiment would be more scientific, rigorous and objective.