Modeling activity patterns of wildlife using time-series analysis

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Modeling activity patterns of wildlife using time-series analysis
	Hull, Vanessa; Zhang, Jindong; Ouyang, Zhiyun; He, Liang; Connor, Thomas; Yang, Hongbo; Huang, Jinyan; Zhou, Shiqiang; Zhang, Zejun; Zhou, Caiquan
刊名	ECOLOGY AND EVOLUTION
	2017-04-01
卷号	7 期号:8 页码:2575-2584
关键词	Animal Behavior External And Internal Influences Giant Panda (Ailuropoda Melanoleuca) Gps Collar Time-series Analysis
英文摘要	The study of wildlife activity patterns is an effective approach to understanding fundamental ecological and evolutionary processes. However, traditional statistical approaches used to conduct quantitative analysis have thus far had limited success in revealing underlying mechanisms driving activity patterns. Here, we combine wavelet analysis, a type of frequency-based time-series analysis, with high-resolution activity data from accelerometers embedded in GPS collars to explore the effects of internal states (e.g., pregnancy) and external factors (e.g., seasonal dynamics of resources and weather) on activity patterns of the endangered giant panda (Ailuropoda melanoleuca). Giant pandas exhibited higher frequency cycles during the winter when resources (e.g., water and forage) were relatively poor, as well as during spring, which includes the giant panda's mating season. During the summer and autumn when resources were abundant, pandas exhibited a regular activity pattern with activity peaks every 24hr. A pregnant individual showed distinct differences in her activity pattern from other giant pandas for several months following parturition. These results indicate that animals adjust activity cycles to adapt to seasonal variation of the resources and unique physiological periods. Wavelet coherency analysis also verified the synchronization of giant panda activity level with air temperature and solar radiation at the 24-hr band. Our study also shows that wavelet analysis is an effective tool for analyzing high-resolution activity pattern data and its relationship to internal and external states, an approach that has the potential to inform wildlife conservation and management across species.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/39058]
专题	生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式 GB/T 7714	Hull, Vanessa,Zhang, Jindong,Ouyang, Zhiyun,et al. Modeling activity patterns of wildlife using time-series analysis[J]. ECOLOGY AND EVOLUTION,2017,7(8):2575-2584.
APA	Hull, Vanessa.,Zhang, Jindong.,Ouyang, Zhiyun.,He, Liang.,Connor, Thomas.,...&Liu, Jianguo.(2017).Modeling activity patterns of wildlife using time-series analysis.ECOLOGY AND EVOLUTION,7(8),2575-2584.
MLA	Hull, Vanessa,et al."Modeling activity patterns of wildlife using time-series analysis".ECOLOGY AND EVOLUTION 7.8(2017):2575-2584.