Urban expansion is leading to the loss and fragmentation of habitats, which poses a threat to wildlife. People are hopeful that, through scientific urban planning and the adoption of innovative models for human communities, such a situation can be improved. Thus, a case study was carried out in Nanning City, China, to extract habitats, build an ecological resistance surface, and construct a habitat connectivity network (HCN). To simulate changes to unused land in the future, we put forth the A (the parcel is divided into strips), B (the parcel is divided into two strips), C (the central area of the parcel is planned as a quadrangle), and D (opposite to Scenario C, the peripheral area is green space) scenarios of human communities that guarantee a 30% ratio of green space, and established the corresponding HCNs. The results indicate that: (1) Currently, the habitats cover approximately 153.24 km² (34.08%) of the entire study area. The ecological corridors in this region amount to a total of 5337, and the topological indicators and robustness indicate a strong stability of the current HCN. (2) With urban expansion, once continuous habitats are being fragmented into smaller green spaces, it is estimated that the habitats will shrink by 64.60 km². The topological indicators and robustness reveal that the stability of the HCNs becomes lower as well. Multiple scenario simulations demonstrated that Scenario D is better than Scenarios B and C, while Scenario A performed the worst. (3) Furthermore, we observed a stronger negative impact of urban expansion on local connectivity. This indicates that the influence of urban expansion on the local HCNs is often more pronounced and may even be destructive. Our findings can advise urban planners on decisions to minimize the impact of urban expansion on wildlife.

Identifying and protecting key sites of ecological assets and improving spatial connectivity and accessibility are important measures taken to protect ecological diversity. This study takes Guangxi as the research area. Based on the gross ecosystem product (GEP), the ecological source is identified, and the initial ecological network (EN) is constructed by identifying the ecological corridor with the minimum cumulative resistance model. The internal defects of the initial ecological network are extracted using the circuit theory, the priority areas for restoration and protection with clear spatial positions are determined according to the complex network analysis, and the network’s performance before and after optimization is comprehensively evaluated. The results show that 456 initial ecological sources and 1219 ecological corridors have been identified, forming the initial ecological network of Guangxi. Based on the circuit theory, 168 ecological barriers, 83 ecological pinch points, and 71 ecological stepping stones were extracted for network optimization. After optimizing the ecological network, there are 778 ecological sources with a total area of 73,950.56 km² and 2078 ecological corridors with a total length of 23,922.07 km. The GEP of the optimized structure is 13.33% higher than that of the non-optimized structure. The priority areas for protection are distributed in a large area, and the attached GEP reaches USD 118 billion, accounting for 72% of the total GEP attached to the optimized ecological source area. The priority areas for restoration are scattered in small patches, with a GEP of USD 19.27 billion. The robustness and connectivity of the optimized ecological network have been improved obviously. This study attempts to identify key sites of ecological assets and the priority regions for restoration and conservation using genuine geographical location and reference materials for regional ecological network optimization and implementation.

Urbanization presents significant challenges to biodiversity but also offers opportunities for its protection and development. While uncontrolled urban expansion has a destructive impact on biodiversity, effective urban planning can play a positive role in protecting and maintaining urban biodiversity. The positive role of human factors, such as urban planning, can protect and maintain the healthy development of urban biodiversity. This study conducted an in-depth analysis of the evolution of various wildlife migration corridors throughout the full-cycle construction of Xiong’an New Area (Xiong’an) in China, revealing the impact of urbanization on these networks. Habitats for species like Sus scrofa, Bufo gargarizans, and Parus minor have notably increased. Between 2016 and 2023, Sus scrofa habitats grew from 35 to 44, large-toed frog habitats from 24 to 35, and Chinese tit habitats remained stable. By the planning phase, Sus scrofa habitats expanded to 87, large-toed frog habitats to 97, and Chinese tit habitats to 58. Habitat areas also grew significantly, especially for Sus scrofa, which increased from 2873.84 hectares in 2016 to 7527.97 hectares in the planning phase. Large-toed frog habitats grew from 2136.86 hectares to 6982.78 hectares, while Chinese tit habitats expanded from 1894.25 hectares to 3679.71 hectares. These changes suggest that urban parks and green spaces have provided more extensive habitats for these species. In terms of migration networks, the number of dispersal routes increased considerably. In 2016, Sus scrofa had 77 routes, large-toed frogs had 16, and Chinese tits had 77. By 2023, Sus scrofa and large-toed frog routes increased to 91 and 49, respectively, while Chinese tit routes remained stable. In the planning phase, Sus scrofa routes surged to 232, large-toed frogs to 249, and Chinese tits to 152, indicating a denser migration network. The distribution of ecological pinchpoints also changed significantly. By 2023 and in the planning phase, pinchpoints were concentrated in densely built areas, reflecting urbanization’s impact on the ecological network. The ecological resilience, assessed through network performance, showed a gradual recovery. The ecological connectivity index decreased from 8.25 in 2016 to 7.29 in 2023, then rebounded to 11.37 in the planning phase, indicating that the ecosystem had adapted after initial urbanization pressures.