The Use of Camera Traps to Identify the Set of Scavengers Preying on the Carcass of a Golden Snub- Nosed Monkey (Rhinopithecus roxellana)


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发布日期2017-09-22
资源类型报告
全部作者Zhi-Pang Huang, Xiao-Guang Qi, Paul A. Garber, Tong Jin, Song-Tao Guo, Sheng Li,Bao-Guo Li
机构团队北京大学自然保护与社会发展研究中心
关键字N/A
引用方式Huang Z P, Qi X G, Garber P A, et al. The use of camera traps to identify the set of scavengers preying on the carcass of a golden snub-nosed monkey (Rhinopithecus roxellana)[J]. Plos One, 2014, 9(2):e87318.
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摘要

There exists very limited information on the set of scavengers that feed on the carcasses of wild primates. Here, we describe, based on information collected using a remote camera trap, carnivores consuming/scavenging the carcass of a wild golden snub-nosed monkey (Rhinopithecus roxellana) in the Laohegou Nature Reserve, Sichuan, China. During a 3 month behavioral and ecology study of a band of golden snub-nosed monkeys (March through May 2013), we encountered the carcass of an adult male (male golden snub-nosed monkeys weigh approximately 12–16 kg). After examining the dead monkey, we returned it to the death site and set out a camera trap to record the behavior and identity of scavengers. Over the course of 25 days, we collected 4145 photographs taken by the camera trap. Scavengers identified from these photographs include a masked civet (Paguma larvata), Asiatic black bear (Ursus thibetanus), large-billed crow (Corvus macrorhynchos) and the chestnut rat (Rattus fulvescens). No member of the golden snub-nosed monkey’s social group, which was composed of approximately 120 individuals, was found to return to the general area of the death site. The masked civet fed principally on the face and intestines of the corpse at night, while the black bear consumed most of the body of the dead monkey during both the daytime and nighttime. These two taxa consumed virtually the entire carcass in one week. We suggest that the use of camera traps offers a powerful research tool to identify the scavenger community of a given ecosystem.


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