Relationship exploration between the street-greenery rate (SGR) of different street types and land surface temperature (LST) is of great significance for realizing regional sustainable development goals. Given the lack of consideration of the local climate zone concept (LCZ), Chongqing’s Inner Ring region was selected as a case to assess the relationship between SGR and LST. Firstly, the LST was retrieved based on Landsat 8 imagery, which was calibrated by the atmospheric correction method; next, the street-greenery rates of different streets were calculated based on the semantic segmentation method; finally, street types were classified in detail by introducing LCZ, and the relationship between SGR and LST was investigated. The results showed that: (1) The LST spatial distribution pattern was closely related to human activity, with the high-temperature zones mainly concentrated in the core commercial areas, dense residential areas, and industrial cluster areas; (2) The average SGR values of expressways, main trunk roads, secondary trunk roads, and branch roads were 21.70%, 22.40%, 24.60%, and 26.70%, respectively. The level of SGR will decrease when the street width increases; (3) There is a negative correlation between the SGR and the LST in most streets. Among them, the LST of secondary trunk roads in low-rise and low-density built-up areas with a south-north orientation had a strong negative correlation with the SGR. Moreover, the wider the street, the higher the cooling efficiency of plants. Specifically, the LST of streets in low-rise and low-density built-up areas with south-north orientation may decrease by 1°C when the street-greenery rate is increased by 3.57%.

As China undergoes a rapid transition into an aging society, the mobility challenges faced by the older adults in high-density mountainous cities are exacerbated by complex topographical conditions. Existing studies often overlook the nonlinear relationships and the distinct planning requirements of mountainous versus flat urban areas when evaluating the age-friendliness of community parks. This study aims to identify the critical elements of age-friendly planning in mountainous community parks, validate the applicability of nonlinear models, and quantify the dynamic effects of various factors on older adults’ satisfaction, thereby establishing a foundation for targeted optimization strategies. Utilizing principal component analysis (PCA) on 358 valid questionnaires collected from three representative mountainous community parks in Chongqing, six key planning factors were extracted. An ordered logit model was employed for regression and marginal effect analyses. The findings reveal that (1) the ordered logit model outperforms alternative models in terms of goodness-of-fit and computational efficiency, making it particularly suitable for capturing the nonlinear characteristics of satisfaction; (2) accessibility facilities, spatial and social connectivity, and landscape environment emerge as the primary determinants of older adults’ satisfaction, with improvements in accessibility facilities exerting the most significant impact; and (3) the provision of multifunctional activity spaces and increased social opportunities effectively addresses the psychological and physiological needs of the older adults. This study contributes to the optimization of age-friendly design strategies for community parks in high-density mountainous cities, offering valuable insights for promoting healthy aging and fostering inclusive urban environments.

Understanding how assembly processes shape local plant assemblages from the potential species pool is crucial for biodiversity conservation and revegetation. Mountainous regions are global biodiversity hotspots with high levels of diversity, concentration, and vulnerability. Road construction in these areas poses ecological challenges, including habitat loss and reduced biodiversity. Feature-based ecology highlights non-biological filtering as a key driver of habitat-specific community formation. Analyzing trait structures and their association with the environment can reveal community assembly processes under specific environmental conditions. However, quantifying species-environment-traits interactions during community assembly on roadside slopes is still underexplored. In our study, 76 naturally recovered roadside slopes, 656 self-established plant communities and 113 plant species across ten functional traits, along with their environmental associations, in the karst mountain region of southwestern China, were examined. Our findings show that there are still abundant native plants with colonization potential settled on steep roadside slopes in karst mountain areas. Diffusion constraints stemming from distance to the core species pool, elevation, and differences in adjacent vegetation types emerged as key factors causing variations in species composition of self-established communities. The slope environment exerts strong selective pressures leading to a convergence pattern in traits related to dispersal and colonization while showing a divergence pattern in traits linked to competitive strategies and regeneration. These findings identify critical functional traits and environmental factors shaping roadside plant communities and illustrate the predictability of environmental filtering and fundamental community assembly. Overall, our study sheds light on the intricate interactions among assembly processes, functional traits, and environmental factors driving local plant assemblages in mountainous regions, providing insights for effective diversity conservation and revegetation strategies.