Abstract:[Objectives] It is well known that human disturbance has been affecting the habitat, survival, reproduction of wild animals, with the negative impacts depending on the intensity of human disturbance. In order to understand how the human disturbance impacts wild animals, we set up 40 infrared cameras at the previously selected sites with distinct disturbance intensities in Baishanzu National Nature Reserve, Zhejiang Province, China in January 2021. [Methods] Based on the differences in the human disturbance intensity, the selected sites were divided into four groups (i.e., few disturbance area, slight disturbance area, minor disturbance area and serious disturbance area, from low to high human disturbance level). The monitoring period lasted 365 days, and there were 14 585 camera days in total.Shapiro-test of R software was used for normality test. t-test was used to analyze the difference if the normal distribution was met, and Wilcox-test was used to analyze the difference if the distribution of data was not normal. [Results] 4 256 independent photographs were taken, of which 3 485 were for mammals and 771 were for birds. We found there were 31 species of animals photographed besides rodents, including 14 mammals and 17 birds. Specifically, two of those were under the first-class state protection and nine belonged to the second-class state protection. Because of the blurry images, three photographs of birds were not identified to species. The number of animal species photographed in few disturbance area, slight disturbance area, minor disturbance area and serious disturbance area were 29 (15 mammals and 14 birds with 1 798 photographs), 24 (15 mammals and 9 birds with 1 308 photographs), 20 (12 mammals and 8 birds with 756 photographs) and 18 (13 mammals and 5 birds with 394 photographs), respectively. It was found that there was a significantly negative relationship between the degree of human disturbance and the number of independent photographs (P < 0.01). Namely, with the human disturbance intensifying, less species of animals, particularly for birds, were photographed. Moreover, 3 163 of these photographs were taken from 23 infrared cameras deployed in the state-owned forests, being identified to 16 mammals and 17 birds. In the collective-owned forests, 17 infrared cameras produced 1 093 photographs (identified to 13 mammals and 9 birds). The number of photographs taken by one camera in the collective-owned forests was only 46.75% of that in the state-owned forests, with a significant difference between them (P < 0.01), possibly due to forest cutting in the early years and thus the destroyed and fragmented habitat had a negative impact on animals. [Conclusion] As such, habitat protection should be an important task for wildlife conservation and be taken seriously.