In the context of global warming, climate strongly affects forest fires. With long-term and strict fire prevention policies, China has become a unique test arena for comprehending the role of climatic variables in affecting forest fires. Here, using GIS spatial analysis, Pearson correlation, and geographical detector, the climate drivers of forest fires in China are revealed using the 2003–2022 active fire data from the MODIS C6 and climate products from CHELSA (Climatologies at high resolution for the Earth’s land surface areas). The main conclusions are as follows: (1) In total, 82% of forest fires were prevalent in the southern and southwestern forest regions (SR and SWR) in China, especially in winter and spring. (2) Forest fires were mainly distributed in areas with a mean annual temperature and annual precipitation of 14~22 °C (subtropical) and 800~2000 mm (humid zone), respectively. (3) Incidences of forest fires were positively correlated with temperature, potential evapotranspiration, surface downwelling shortwave flux, and near-surface wind speed but negatively correlated with precipitation and near-surface relative humidity. (4) Temperature and potential evapotranspiration dominated the roles in determining spatial variations of China’s forest fires, while the combination of climate variables complicated the spatial variation. This paper not only provides new insights on the impact of climate drives on forest fires, but also offers helpful guidance for fire management, prevention, and forecasting.

In the context of the “Belt and Road Initiative”, the sustainable development of border cities is paramount for facilitating intergovernmental exchanges. Using the system dynamics approach, we integrated border policy factors to create the Border City Coordinated Development (BCCD-SD) model, encompassing three dimensions: Economic, Social, and Resource-Environment. Furthermore, a comprehensive evaluation indicator, the City Coordinated Development Index (CCDI), was devised. Using Lincang City in Southwest China as a case study, this article examines the trends in city development under three scenarios: Inertial Development, Rapid Development, and Green Development. The research findings demonstrate that the model adeptly captures trends in the city coordinated development indicators. Among the three scenarios, the rapid development scenario stands out, yielding the most favorable economic indicators, superior public infrastructure, and the highest employed population. However, the rapid development path, which is heavily focused on economic growth, intensifies resource and environmental pressures, giving rise to sustainability challenges. In contrast, although the green development scenario trails slightly in economic performance compared to rapid development, it fosters a larger urban population and transition of the employed population into citizens while excelling in resource and environmental aspects. Overall, the CCDI attains its highest score under the green development scenario, surpassing those of rapid and inertia development, signifying superior city development coordination along the green path. This scenario effectively combines economic growth, social progress, and resource-environment protection. This study also emphasizes the pivotal role of ports in the coordinated development of border cities and underscores the necessity of expediting the transition from a “gateway” economy to a “port+” economy. One objective of this article is to encourage border cities to serve as more effective windows to the outside world, promote regional coordination, and achieve high-quality development.