Habitat status and feasibility of constructing corridors for a vulnerable population of giant pandas

Habitat corridors provide connectivity to decrease the negative effects of fragmentation. However, numerous current studies on habitat corridors remain in the design stage, and there is a lack of research addressing the challenges and feasibility of actual construction. Therefore, fine-scale analyses of habitat corridors are needed to provide deeper insights. We proposed a fine-scale habitat corridor design using the giant panda ( Ailuropoda melanoleuca ) population in the Mabian Dafengding National Nature Reserve as a case study. The research combined field quadrats, camera traps, and remote sensing data to complete analyses using the species distribution model, landscape pattern index, circuit theory model, and least-cost path (LCP) model. The results show that 53 km 2 of suitable habitat for giant pandas exists in the reserve, and anthropogenic disturbance and bamboo cover were key environmental factors affecting giant pandas’ habitat suitability. Fragmentation has caused suitable habitat isolation, and the core habitat is non-contiguously scattered between the north and south. In the design of ten habitat corridors, two primary corridors connect the core habitat from north to south. The proposed primary corridors, roughly 1.4 km wide, are limited by natural impediments such as rivers, food resources, and anthropogenic disturbance. Our research used the latest methods and data to design the habitat corridor and reveals many difficulties for actual construction, despite employing approaches such as the LCP. Our findings enhance the understanding of habitat corridor feasibility and support the development of giant panda conservation efforts. • Severe habitat fragmentation in Mabian, with core habitat distributed in north and south areas. • Habitat corridors designed for giant pandas integrate fine-scale environmental factors. • Discussing the impact of natural and anthropogenic obstacles on corridor design and how to enhance feasibility.