Rapid global urbanization has inevitably led to habitat fragmentation, and much research has focused on responding by building ecological networks and improving connectivity. The construction of such post-event ecological networks is sometimes not effective, and the identification and protection of important patches in the early urbanization period is more significant. Based on the redundancy theory, this paper explores the method of identifying potential critical habitat patches after future urban development. The paper takes the Longxing area of Chongqing city as an example and uses the cumulative current value results of circuit theory model simulations and patch characteristic attribute information as sample data, introduces a combination of the minimal-redundancy-maximal-relevance criterion and a support vector machine (mRMR + SVM) to discriminate the redundancy of patches in ecological networks, and ranks the importance of source patches. The results show that the mRMR criterion can exhibit a more realistic ranking of patch importance, allowing patches with better quality to achieve a higher ranking. Compared to the patch importance determined based on the magnitude of the cumulative current value, 66.34% of the patch importance order changed in the mRMR criterion ranking results. The mRMR + SVM method was effective in identifying individuals with redundancy from the set of source-site patches. The test found that ecological corridors still passed through or occurred near these redundant patches after their removal, demonstrating the substitutability of patches identified as redundant. The results of the study can help improve the knowledge of ecological networks and provide quantitative methodological support and decision-making reference for urban development and ecological conservation.

Campus green spaces are vital components of urban green infrastructure, providing crucial habitats for wildlife, especially birds, in fragmented urban environments. However, their role in supporting nocturnal bird habitats remains underexplored. This study investigates nocturnal bird roosting habitat selection in the green spaces of a university campus in western China. The seasonal surveys were conducted along fixed routes to track the distribution of birds' nocturnal roosts on campus. Infrared hotspots were detected using thermal imaging night‐vision cameras. Roosting tree species were identified, and roosting point heights were estimated visually. The survey results identified eight nocturnal roosting sites and common campus vegetation, which were used for in‐depth analysis of bird roosting habitat characteristics. The study found that: (1) Campus birds preferred Ficus concinna and Ficus virens (93% selection rate), especially those with dense foliage and high concealment. (2) Birds showed seasonal variations in their roosting positions. In summer, they were more dispersed, while in autumn and winter, they concentrated vertically. Horizontally, they preferred the outer ends of branches away from the trunk. (3) The number of infrared (thermal) hotspots corresponding to birds' nighttime roosts was significantly higher in summer than in the other seasons. Based on these findings, the paper proposes strategies to optimize campus green space management, including the targeted planting of tree species, adjustments to vegetation structure, and the reduction of excessive branching to enhance nocturnal roosting sites. This research offers valuable insights into the nocturnal behavior of urban birds and provides practical recommendations for urban planners and conservationists to promote biodiversity‐friendly urban design and management policies.

Karst river basins require restoration approaches that identify vulnerable connections while distinguishing ecological constraints from governance implementation conditions. This study developed a sequential Structure–Resistance–Connectivity–Governance (SRCG) framework for the Chengjiang River Basin, Guangxi, China. Ecological sources were identified from vegetation vitality, habitat quality, landscape integrity, and hydrological proximity. Natural landscape resistance and anthropogenic disturbance were integrated to delineate potential source-pair corridors. Bottleneck Intensity combined corridor load, minimum corridor width, and high-resistance overlap, and was integrated with ecological movement resistance to delineate Ecological Restoration Priority Zones (ERPZs). Governance Mismatch Index and Administrative Boundary Proximity Index values were applied only after ERPZ delineation. The analysis identified 28 ecological sources covering 312.4 km², 76 potential connections, three principal bottleneck clusters, and six ERPZs covering 118.5 km². The upper basin retained a relatively continuous network; whereas, the middle and lower reaches were increasingly constrained by roads, settlements, quarry disturbance, fragmented cropland, and discontinuous riparian vegetation. ERPZ-A, D, E, and F were resistance-dominated, ERPZ-B was bottleneck-dominated, and ERPZ-C was compound-priority. Governance assessment differentiated four implementation contexts. Overall land-cover accuracy was 0.896, Cohen’s kappa was 0.874, and 14 of 16 field sections were concordant with mapped landscape conditions; sensitivity tests retained the principal sources, bottlenecks, and ERPZ cores. The framework separates ecological restoration urgency from implementation difficulty, while its outputs represent potential structural rather than confirmed functional connectivity.