Land resources are foundational for human survival and development. In contrast, land use/land cover (LULC) dynamics drive considerable changes in ecosystem services. Recently, China witnessed a new stage of rapid urbanization. Therefore, investigating the relationships between ecosystem services value (ESV) and LULC in these areas is highly relevant. Based on the data of land use and socioeconomic development in Shanghai from 2000 to 2020, we adopted a land use/land cover dynamics analysis method and established the ESV per unit area at the city scale, discussed the impact of LULC on ESV spatially and quantitatively, and tested the research process based on the sensitivity analysis of the ESV coefficient. The results show that from 2000 to 2020, the LULC pattern in Shanghai rapidly changed. In particular, the area of cultivated land has shrunk by 123.96 thousand hm², while the construction land has expanded by 141.26 thousand hm², which has led to a decline in ESV of the entire city (especially regarding hydrological adjustment and biodiversity). Nevertheless, although the area of trench and lakes only occupies 1.67–3.16% of the total area of land, its ecological value accounts for an astonishing 23.80–50.70% of the total ESV. At the district level, the primary decline in eco-system services value was noted in the Chongming District in the north and Pudong New Area in the east of Shanghai. However, due to the overall planning of the city and the advantages of its resource endowment, Qingpu District and its surrounding areas in western Shanghai have witnessed improvements in terms of the values of hydrological adjustment, water supply, and environmental purification. This study presents a deeper and more comprehensive understanding of issues regarding ESV in rapidly urbanized areas, thereby providing an important reference for decision-makers regarding the rational layout of cities, sustainable use of land, and management of natural ecosystems.

Coronavirus disease 2019 has significantly impacted mental health. Urban green spaces’ ecological function can improve citizens’ well-being and mental health; thus, this study explored the value realisation mechanism of ecological products in green space by examining the impact of urban green space soundscape on citizens’ emotions. Additionally, we investigated citizens’ subjective perceptions and emotional changes in soundscape through questionnaires. An A-weighted sound pressure level meter was used to measure the sound pressure levels at three points in a day to obtain the sound pressure level changes during different day periods in a park. Subsequently, the universal conclusion through a comparative analysis of the sound pressure level change in urban parks during the day was roughly ‘M’ shape. Further, a structural equation model analysed the influence of different soundscape on public sentiment and used a multigroup analysis to examine the difference in the impact of natural sounds in summer and winter on the change in public opinion. The results show that natural and living sounds positively affect citizens’ emotions, whereas mechanical sounds negatively affect citizens’ emotions. Furthermore, natural sounds in summer positively affect citizens’ moods significantly. Conversely, natural sounds in winter negatively affect citizens’ attitudes, but this is not obvious. Finally, this study proposed some suggestions for managing and improving urban green space soundscape.

Wetlands are unique ecosystems formed by the interaction between land and water on Earth. Poyang Lake, which is a part of China’s largest freshwater lake wetland, is well known for its ecological and economic importance. This study uses a social-ecological system (SES) framework that integrates watershed and human activities; we used action scenarios to analyse the influencing factors, solutions, and feedback mechanisms involved in the SES framework. We chose Nanchang, Jiujiang, and Shangrao in the Poyang Lake wetlands of the Jiangxi province as the study areas to provide a problem-oriented analytical strategy for the organic interface between ecological conservation and green development. The key issues indicate that the Poyang Lake region faces multiple problems, such as ecosystem structural changes and environmental pollution, caused by anthropological activities, inefficient implementation of conservation policies, and insufficient funding for pollution prevention and control. Our findings provide a systematic solution for major conservation and development issues in the Poyang Lake region and are adapted to the characteristics of the lake. We also provide a theoretical reference and direction for the implementation of green development and modernisation of ecological governance in the Great Lakes basin in China.

Urban greenways improve green coverage rates in urban environments and transform these environments in a people-oriented manner. This study adopted semantic differential (SD) methods and an importance–performance analysis (IPA) model to evaluate resident perceptions and preferences of riverside greenways. A survey of 588 residents was conducted on typical natural greenways, built greenways, and mixed greenways along the Huangpu River in Shanghai. The results showed that resident perceptions of style, space, and distance differed markedly, whereas their perceptions of environmental and psychological characteristics were relatively similar. There were strong correlations between residents’ characteristics and their perceptions, especially for their perceptions of greenway style, sense of order, and distance from the river. By comparison, most residents preferred mixed greenways. Additionally, respondents from areas with natural and mixed greenways believed that they benefited, whereas those from areas with built greenways displayed a potential sense of deprivation. The results of IPA analysis provide further support for the above conclusions. As a whole, the relatively simple methods demonstrated here could be useful to quantitatively analyze the subjective perceptions of urban residents.

In this study, four types of urban gardens, namely modern commercial, cultural heritage, historical preservation, and natural and ecological areas, were comprehensively described and analyzed based on soundscape and landscape differences, and a multinomial logit model was used to explore potential influencing factors shaping residents’ preferences regarding urban gardens. The results suggest that variations in soundscape are closely related to the characteristics of the garden areas and the timing of residents’ activities; the noise level measurements at different observation points varied considerably according to the time of day and displayed different trends. Residents strongly preferred natural sounds, and traffic noise was the most disliked category of sound. Further, a negative correlation was found between residents’ subjective perception of loudness and the favorability of the area, while a clear positive correlation existed between the degree of favorability and the degree of landscape-soundscape coordination. Regarding landscape differences, residents generally preferred urban gardens without artificial transformation and prioritized the maintenance of natural landscaping and the historical and cultural heritage of urban gardens. In particular, residents’ preferences reflected the trade-offs between natural and artificial forms of urban gardens. These results offer useful information for planners, developers, and governmental organizations related to urban gardens by providing data to design urban gardens with increased practical value and natural benefits.

Urban forests are more about people than trees. The positivist approach faces many obstacles in analyzing current urban forest-related issues; thus, this study adopted semantic differences and cognitive map approaches to evaluate the subjective preferences of citizens based on their spatial behavior. From December 2015 to November 2017, a three-year continuous public questionnaire was administered to a total of 450 citizens. Typical forest parks, suburban parks, and urban parks in Beijing were selected as research sites, and were analyzed respectively. This study comprehensively evaluated the perception characteristics and differences in the spatial images of urban forests by citizens in relation to different location conditions. Because these characteristics varied across individuals, the spatial cognition and familiarity of citizens with different types of urban forests were analyzed and compared. The perception of spatial images by citizens of different types of urban forests noticeably varied with respect to color and psychology. The perception of spatial images significantly varied with respect to gender, educational background, and income level, with individual characteristics being most closely related to the perception elements of urban forests in terms of space, color, style, and environment. Comparison of cognitive maps demonstrated clear differences in how citizens selected different types of urban forests. These differences were reflected in six types of cognitive maps and six familiar elements in the cognitive maps drawn by citizens.