Existing studies have paid limited attention to the spatial integration of cultural heritage resources in mountainous regions. To fill this gap, this study analyzes 1479 cultural heritage sites in the Qinling–Bashan Mountains. The kernel density analysis results reveal a spatial agglomeration pattern characterized by high-density clusters, medium- to low-density extensions, and scattered peripheral areas. This study integrates the cultural corridor spatial potential model (CCSPM), the analytic hierarchy process (AHP), and the minimum cumulative resistance (MCR) model to identify the potential diffusion range of cultural heritage and assess the suitability of cultural heritage corridor construction. On this basis, an integrated cultural heritage corridor pattern is proposed, featuring “one corridor, two belts, two cores, and six zones.” On this basis, this study proposes targeted conservation strategies for cultural heritage corridors from four perspectives: cultural–ecological synergistic protection, cross-regional collaborative governance, digital revitalization of rural cultural tourism, and socio-economic governance. Overall, this study contributes methodological support for the systematic conservation of mountainous cultural heritage and provides a practical reference for rural cultural revitalization and the sustainable utilization of heritage resources in China.

Against the backdrop of rapid urbanization and climate warming, the urban heat island (UHI) effect has severely affected ecological security and public health. Existing studies have often focused on single-city analyses or large-sample averages, with insufficient attention to the nonlinear driving mechanisms of UHI under different hydrothermal contexts. This study selects Wuhan and Xi’an as representative cities, constructing an explainable machine learning framework to interpret and compare UHI intensity across feature importance, nonlinear responses, factor interactions, and spatial differentiation. The results show that, in Wuhan, the top five factors contribute 62.4%, reflecting a composite dominance of ecology, spatial morphology, location, and human activities. In Xi’an, the top five factors contribute 72.0%, indicating a more concentrated dominant structure. Nonlinear responses reveal that key factors like NDVI have distinct effect thresholds and mechanisms in the two cities. Spatially, Wuhan displays a continuous gradient pattern characterized by center-promoting and peripheral-suppressing effects, whereas Xi’an presents a block-like mosaic structure composed of multiple juxtaposed districts. These differences suggest that UHI mitigation should move beyond a uniform control model and instead adopt climate-sensitive strategies that account for the dominant factor combinations, response thresholds, and spatial organization of each city. The proposed framework and findings provide scientific support for understanding UHI mechanisms under different hydrothermal contexts and offer targeted implications for thermal environment regulation and spatial planning in cities with similar climatic and environmental characteristics.