Mapping and Assessing the Supply and Demand of Rural Recreation Services in National Parks: A Case Study of Qianjiangyuan, Zhejiang, China

National parks not only protect natural resources but also provide a variety of cultural ecosystem services, with their rural areas serving as important locations for providing rural recreation services (RRS). Spatial quantification of RRS supply and demand will contribute to ensuring the protection and promotion of human well-being in national parks. In this study, we proposed an integrated framework to map and assess the spatial distribution of RRS supply and demand in Changhong Township, located within Qianjiangyuan National Park. We used a combination of spatial analysis and the MaxEnt model as tools, which played a positive role in saving time when modeling areas providing cultural ecosystem services. Based on the findings, the study area was divided into different zones to propose spatial planning measures. The results showed that (1) the MaxEnt model was robust in mapping RRS supply. RRS supply and demand distribution had high spatial heterogeneity. (2) The proportion of areas where RRS supply exceeded demand was 72.58%, primarily distributed in areas with a high level of naturalness at the periphery of the study area. (3) This study divided Changhong Township into four types of zones: developed recreation service area, potential recreation service area, recreation service demand area, and marginal recreation service area. We proposed suggestions for the scientific utilization and management of RRS in each zone. Overall, our findings provide a scientific basis for planning rural recreation spaces within national parks, promoting the comprehensive utilization of rural cultural ecosystem services.