In order to further enrich the regional bio-inventories of mammals and birds for the Wulingshan Priority Area for Biodiversity Conservation of China (WPABCC), we monitored mammals and birds using infrared cameras in Xishui National Nature Reserve (XNNR) in Guizhou Province from July 2015 to November 2017. From the camera data, a total of 56 avian species were classified into 5 orders and 20 families, and 28 mammal species were classified into 5 orders and 12 families. One species, Moschus berezovskii is listed as a first-level species on the China National Key List for Wildlife Protection, and 13 species including Tragopan temminckii, Lophura nycthemera, Nisaetus nipalensis, and Capricornis milneedwardsii, are listed as second-level. Nisaetus nipalensis was newly recorded in this area and 10 species including Chrysolophus amherstiae, and Turdus obscurus were recorded for the first time in XNNR. According to the zoogeographic regionalization of China, the Oriental Region Type was dominant (41.67%), Southern China Region Type followed (29.76%), and Northeastern Region Type was the lowest (2.38%). The activity rhythm analysis of four dominant mammals and two dominant avian species revealed that, in mammals, Elaphodus cephalophus was more active in the evening as expected, but became active earlier in winter. The daily activity rhythm of Callosciurus erythraeus varied with seasons becoming more active at noon in spring and autumn, and in the mornings in summer. In winter, it showed two activity peaks, from 8:00 to 10:00 and from 16:00 to 18:00. Hystrix brachyura always moved frequently between 20:00-24:00 in all seasons and Macaca thibetana was active from 14:00 to 16:00 in autumn and winter, and from 10:00 to 12:00 in spring, in summer, it also had two activity peaks, from 12:00 to 14:00 and from 16:00 to 18:00. In birds, Chrysolophus pictus was active at noon in spring and summer, but from 6:00 to 8:00 in autumn; comparatively, Tragopan temminckii was more active in the morning in spring and summer, and from 14:00 to 16:00 in autumn and winter. Our results would be helpful to further understand the biodiversity and improve its conservation in this area.