The autumn activity patterns and time budgets of Forest musk deer (Moschus berezovskii) in captivity

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 171

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شناسه ملی سند علمی:

JR_VRFAN-14-11_002

تاریخ نمایه سازی: 25 آبان 1402

چکیده مقاله:

Activity patterns and time budgets play a crucial role in the successful farming and management of animals. In this study, the behavior patterns of ۵۳ forest musk deer (Moschus berezovskii) were analyzed from October ۲nd to ۱۶th, ۲۰۲۱, throughout the day and night. The results showed a distinct dawn–dusk activity rhythm in the captive forest musk deer with a peak activity observed at dawn (۰۷:۰۰ - ۱۰:۰۰) and dusk (۱۶:۰۰ - ۱۹:۰۰). Additionally, there were smaller activity peaks lasting less than an hour during the nighttime (۰۰:۰۰ - ۰۴:۰۰). Comparing behavior ratios between peak and off-peak periods, it was evident that all behaviors, except rumination (RU), showed significant differences. Furthermore, no significant differences were found in the behavior ratios of the forest musk deer between the daytime and night-time. During the daytime, the percentages of time spent performing locomotion (۳۲.۸۷ ± ۳.۳۸%), feeding (۱۴.۴۳ ± ۱.۸۱%), and RU (۵.۶۲ ± ۱.۴۶%) were slightly higher compared to the night-time. Based on these findings, it is important to match the management strategies for musk deer farming with the animals' activity patterns and behavioral rhythms. Doing so can enhance farming outputs and contribute to the welfare of captive forest musk deer.

نویسندگان

Songwei Lin

School of Environment and Natural Resources, Renmin University of China, Beijing, China

Liquan Shen

School of Environment and Natural Resources, Renmin University of China, Beijing, China

Haoxiang Gao

School of Environment and Natural Resources, Renmin University of China, Beijing, China

Jiayi Wu

School of Environment and Natural Resources, Renmin University of China, Beijing, China

Qingxin Lv

School of Environment and Natural Resources, Renmin University of China, Beijing, China

Xin Zhou

School of Environment and Natural Resources, Renmin University of China, Beijing, China

Junsheng Li

Command Center for Comprehensive Survey of Natural Resources, China Geological Survey Bureau, Beijing, China

Xiuxiang Meng

School of Environment and Natural Resources, Renmin University of China, Beijing, China