People are increasingly concerned with natural environment quality (NEQ) as well as recreation services (RS) as the popularity of natural experiences grows. Specifically, public spaces in ecologically sensitive areas must achieve coordinated eco-recreational development. Waterfront spaces fall into this category, providing a high-quality natural environment and facilitating various recreational activities. This paper uses two waterfront spaces, Foshan New City Riverfront Park and Nanhai Qiandeng Lake Park, as sample sites, divides 22 waterfront space samples into specific research objects, introduces dual variables for RS function and NEQ, and uses mathematical and statistical methods, such as Pearson correlation analysis, coupling coordination degree calculation, and redundancy analysis, to investigate the influence of different waterfront spaces on RS function and NEQ. Finally, we propose an optimization strategy for coupling and coordinating the development of the RS function and the NEQ of waterfront space. This paper found the following: (1) RS (number of public facilities) and natural environment quality (shoreline curvature) are the dominant factors in the vitality of waterfront space; (2) optimization of RS function will restrict the development of NEQ to a certain extent; and (3) the coupling and coordination of NEQ and RS function are positively related to the vitality of waterfront space. This study can be valuable for government officials and waterfront space planners as they develop social–ecological synergy models.
Land use change drives urban pattern change. The development of urbanization will result in the diminution of ecological land and the extinction of ecological defense. Foshan is a highly typical city. Identifying the characteristics of dynamic land use changes and predicting the future land use pattern are crucial components of land use planning. Land use transfer matrix and intensity analysis model were utilized in this study. Three representative years, 2010, 2015, and 2020, were used to analyze the interval, category, and transition level characteristics for Foshan City. Then, based on the PLUS model and the Markov model, multiple scenarios for the land use of Foshan City in 2030 were developed. The results indicate the following: (i) According to the interval level intensity analysis, the general trend of land use intensity between 2010 and 2020 is first rapid and then gradual. At the category level, construction land demonstrates stable activity with increasing intensity, whereas dike-ponds demonstrate continuous activity with decreasing intensity. (ii) From 2020 to 2030, there is a slowing in the intensity of site conversion. The natural development scenario is more in line with the city's development. (iii) In simulations of future urban scenarios, the dike-pond has a decreasing trend over the scenario. At the future transition level, three possible land use conversion systems exist: "forestland—dike-pond," "water—dike-pond," and "dike-pond—construction land." With this study, Foshan City can serve as a case study for sustainable development and rational planning. Article Highlights Land use change components, quantity, exchange and shift were estimated. The largest net change occurred in 2010–2015 due to human activities. Spatial reallocation were characterized by exchange and shift. The largest exchange occurred in 2010–2020 due to the dike-pond eroded. The dike-pond has a decreasing trend over the simulated scenario.
Carbon storage (CS) is strongly associated with climate change and ecosystem services. Herein, taking Foshan City, Guangdong Province, China as the study object, analysis was performed upon the potential impacts of the urban–rural relationship of CS by combining the Integrated Assessment of Ecosystem Services and Trade-offs (InVEST) and the Patch Generation Land-use Simulation (PLUS) models. Based on three different development plans under regional policies, land-use/ land-cover (LULC) changes in Foshan City in 2035 were simulated. The results show that (i) Foshan City experienced rapid urban expansion from 2010 to 2020 spreading from the central area to the outer circle in a cascading manner. Urban land use mainly encroached on ecological land during these 10 years. (ii) The CS in Foshan City from 2010 to 2020 showed an increase followed by a decrease, and the simulations estimated a continuous loss of the CS in Foshan City by 2035. (iii) There was spatial heterogeneity in the CS changes in Foshan. From 2010 to 2020, the northern part of Sanshui District and the eastern part of Chancheng District experienced the greatest economic loss of CS. The carbon loss will further increase in future development scenarios. This research can provide vital references for government administrators to formulate valid development patterns and ecological conservation strategies.
Urban green and blue spaces (UGBS) take on critical significance in urban development. In this study, the physical characteristics and landscape-ecology-society-space (LESS) system services of 24 urban parks in 2 greenbelts surrounding Foshan City are analyzed. Five service bundles are proposed based on the four systems, comprising landscape-ecological-social-spatial-composite driving bundles. Subsequently, the trade-offs and synergies (TOS) of the four systems are assessed through principal component analysis (PCA), a self-organization neural network model (SOM), and geographically weighted regression (GWR). As indicated by the results, a high trade-off relationship is identified between the landscape and ecology systems, as well as a low synergy relationship between the ecology system and the society system. Furthermore, there are structural differences in the physical characteristics of the parks in the greenbelts surrounding the city, with parks in the inner ring having higher social and spatial effects, while parks in the outer ring have higher landscape and ecological effects. Lastly, recommendations are presented for planning UGBS around the city. In this study, a feasible framework is developed to achieve high-quality urban living environments based on the multi-objective balanced strategies for UGBS.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.