Habitat connectivity is indispensable for the survival of species that occupy a small habitat area and have isolated habitat patches from each other. At present, the development of human economy not only squeezes the living space of wild animals, but also strongly interferes and hinders the migration of species. Therefore, we need to enhance the habitat connectivity of species in broken habitats, which would facilitate the proliferation of species, enhance gene exchange between populations and improve the ability of species to respond to environmental changes. Przewalski's gazelle, as one of the world's most endangered ungulate mammals, has historically experienced a significant reduction in population and severe habitat shrinkage. At present, even though the population of this species has recovered to a certain extent, humans Infrastructure severely hindered the gene flow between several patches of this species. Therefore, we used habitat suitability index model combined with Przewalski's gazelle movement characteristics to establish 11 habitat patches, and used the least cost path and circuit theory based on resistance model to jointly simulate the landscape network pattern of this species. In addition, we also analyzed and selected important patches and key migration paths as important references for establishing corridors. Overall, our research aims to provide habitat networks and maintain landscape connectivity to achieve the fundamental goal of protecting and revitalizing Przewalski's gazelle populations.