关键词: 占域模型, 空间分布格局, 红外相机, 濒危兽类监测, 环境因素

Abstract: China is one of the countries with the most mammal species and threatened mammals in the world. It is essential to understand the spatial distribution of threatened mammals and the underlying impacting factors to enhance the protection efficiency of the natural reserves. Although mammal surveys have been conducted in most nature reserves in China, many researchers have focused on basic data collection. The local distribution of mammals and the potential impacting factors in nature reserves are still unclear, especially for some threatened mammal species. We used camera trap data of six mammal species in Jiulongshan National Nature Reserve to assess the occupancy of these species and the potential impacting factors by the Bayesian single-species occupancy models. The results indicated that the Macaca thibetana had the highest occupancy probability (48. 62%), and Prionailurus bengalensis had the lowest occupancy probability (2. 14%). For detection probability, P. bengalensis was the highest (22. 95%) and M. thibetana was the lowest (1. 75%). Furthermore, altitude was the most important factor in determining the occupancy of M. mulatta, Capricornis milneedwardsii, and P. bengalensis. The probability of water in one hundred meters significantly affected the detections of Muntiacus crinifrons, C. milneedwardsii, and P. bengalensis. The present study reveals that altitude and water are essential environmental factors that affect the occupancy and detection probability, respectively. In the future, nature reserve managers could adjust the monitoring and protective strategies according to our results.

Key words: Occupancy model, Spatial distribution, Camera traps, Endangered mammals, Environmental factors