Research on ecological network identification in rare animal habitats based on the MaxEnt model and ant colony algorithm: a case study of Giant Panda National Park, China

Abstract

The reasonable construction of rare animal habitat ecological networks is an important way to maintain the stable development of wild species, and it is of great significance in biodiversity conservation. Based on the habitat suitability perspective, the maximum entropy (MaxEnt) model was used to identify the ecological sources of the Giant Panda National Park; the minimum cumulative resistance (MCR) model and hydrological analysis principles were used to extract the ecological corridors and ecological nodes; the ant colony algorithm and kernel density analysis were introduced to identify the range of corridors and key restoration points; and the ecological network of giant panda habitat was constructed. We evaluated and analyzed the constructed ecological network and pointed out the key areas for ecological protection and restoration. The results show that the habitat suitability of the region as a whole is low, and the spatial differences are obvious. There is a pattern of high values in the east and north and low values in the west and south. 24 ecological sources were extracted, with a total area of 1737.63 km², mainly distributed in the central and northern regions. 55 ecological corridors were extracted, with a total length of 1667.816 km and a total area of 1312.08 km², which were widely distributed in the central part of the study area in a network pattern. 23 key ecological corridors and 14 key restoration points were identified, which are areas that should be considered in the construction of national parks in the future. Based on the ecological network characteristics of Giant Panda National Park, the future direction of future ecological restoration in the region was proposed. The research results are expected to provide a reference and basis for the construction of Giant Panda National Park and biodiversity protection.