Wetland conservation is becoming increasingly important as wetland areas decline globally. However, no comprehensive global-scale mapping of wetland conservation priorities and targets has been published. This information is needed to extend the current protected area network and improve the conservation efficiency for wetlands. Here, we propose a cost-effective assessment model for wetland conservation by integrating wetland conservation value- and human impact-related indicators to identify global wetland conservation priorities. These priorities cover 28% of the potential global wetland distribution, and of that, only 44% is currently protected by existing protected areas. To protect more wetland conservation priorities, we propose three target-setting scenarios for protected area expansion that offer additional contributions of 9.40%, 42.40%, and 55.97%, respectively. These three global targets can be downscaled to the national level and used to update national wetland biodiversity conservation strategies and action plans under a harmonized legal and regulatory regime at different scales and jurisdictions.

The integration of culture and tourism has become an important factor in the development of the cultural tourism industry, and a quantitative measure of the degree of integration is important for understanding and promoting the high-quality development of the global cultural tourism industry. This study aims to put forward a comprehensive analysis model to show the development trend of cultural and tourism integration, measure the degree of cultural and tourism integration, and analyze the factors affecting the regional heterogeneity of cultural and tourism integration. Using the spatial quantification method of entropy, the spatial coupling coordination degree model, and the geographical weighting model, this paper analyzes the effect and influencing factors of cultural and tourism integration in various districts and counties in Beijing. The results show that the cultural tourism resource endowment of Beijing presents an upward trend and a gradual spillover trend, with obvious spillover to the east and north. The effect of district integration in Beijing has gradually weakened from the city center to the outside, but there is still a serious phenomenon of two levels of differentiation. Factors such as the economic development level, tourism output, cultural output, policy support, and consumption level have spatial heterogeneity on the effect of cultural and tourism integration in each district of Beijing, but the degree of influence is small.

In the context of the coordinated development of Beijing–Tianjin–Hebei, examining the spatial connections and network structure characteristics of the tourism economy holds substantial theoretical and practical significance. This study constructs a tourism economic quality evaluation index system from four dimensions and optimizes the tourism economic gravity model by incorporating time distance and weight factors to dynamically simulate the intensity of tourism economic spatial connection (ITESC). Based on the new perspective of relational data, social network analysis is employed to investigate the spatial correlation network characteristics and group structure changes in the tourism economy within the Beijing–Tianjin–Hebei urban agglomeration (BTHUA). The results demonstrate a significant improvement in overall tourism economic quality from 2013 to 2022, with the average quality increasing from 0.128 in 2013 to 0.157 in 2022. Tourism economic spatial connections are prevalent among cities, exhibiting heterogeneous characteristics, characterized by density in the north and relatively sparse in the south. The network cohesion of ITESC strengthens, and the network structure evolves from a highly centralized to a multi-centralized configuration, with increasingly frequent cooperation and interaction in tourism between cities. Beijing, Tianjin, and Shijiazhuang occupy central positions in the network, exhibiting strong ITESC and a high degree of connectivity, generating a significant “trickle-down effect” on peripheral cities. Consequently, strengthening ITESC between peripheral cities and core areas, as well as enhancing the bidirectional spillover of tourism development between cities, is crucial for the future sustainable and coordinated development of tourism in the BTHUA.

Tourism is linked to multiple dimensions, such as the economy, society, and environment, and the relationships among its influencing factors are complex, diverse, and overlapping. This study constructed an evaluation index system to measure the degree of coordinated development of tourism, transportation, and the regional economy, then built a tourism-transportation-based Spatial Durbin Model (SDM) regarding the process of the coordinated development of tourism in the Beijing-Tianjin-Hebei region (BTHR) from 2010 to 2020. This paper explains the current status of sustainable tourism development in the BTHR and the impact and spillover effects of transportation on tourism development. The results show that the normalized tourism coordinated development index (NTCDI) of the BTHR increased from 13.61 in 2010 to 18.75 in 2019, then decreased to 14.45 in 2020. The results of SDM show that different transportation modes have different spillover effects on tourism. Specifically, civil aviation transportation has a positive impact and significant spillover on a city’s tourism revenue (TR), while high-speed railway transportation has a negative spillover effect. The model results also show that the degree of openness of the city and city economic development level have significant positive effects and spillover effects on tourism development. Finally, the implications of related variables are discussed, and some suggestions are put forward on tourism development in the BTHR. However, there are some limitations in this study. In the future, international cooperation and data sharing will be strengthened, and multivariate methods such as social network analysis, artificial intelligence, and machine learning will be further integrated to achieve accurate simulation and prediction of the spatial spillover effects of tourism transportation.

This comprehensive comparison study of the actual and perceived environments of tourist attractions has policy implications for both tourism management and ecological conservation. This study focuses on China’s natural forest reserves (NFRs), comparing the environmental perceptions of residents and tourists with the actual forest environments (greenness and connectivity) of the same tourist attractions. Based on the literature and forest environmental indexes, this quantitative research reveals a discrepancy between tourism development and environmental conservation. First, in most of the tourist attractions we studied, both residents and tourists had a positive perception of their environments; second, most of these tourist attractions had high-level forest greenness but low-level forest connectivity; third, a regression analysis confirms that the environmental perceptions of residents and tourists are significantly and positively related to forest greenness but not to forest connectivity. This study informs policymakers about the degradation of forest connectivity in NFRs and argues that reforestation, afforestation, and the relocation of unnecessary facilities and buildings are needed to restore these areas. In this way, this work aims to increase forest connectivity, improve biodiversity, and enhance tourism development in sustainable ways.