Animals · 2022 · 15 citations · 73 references
Life SciencesAnimal SciencesZoologyAnimal BehaviorBehavioral EcologyHerpetologyAnimal EcologyAnimal Physiological EcologyCircadian Activity PatternsForaging EcologyMammalian BehaviorSeasonal BehaviorAnimal Behaviour MonitoringCamerasCrepuscular BehaviorDaily Activity SchedulesDiurnal Activity PatternsDiurnal BehaviorInfrared CamerasNocturnal Behavior
Mammals are constantly exposed to exogenous and endogenous influences that affect their behaviour and daily activity. Light and temperature, as well as anthropogenic factors such as husbandry routines, visitors, and feeding schedules are potential influences on animals in zoological gardens. In order to investigate the effects of some of these factors on animal behaviour, observational studies based on the analyses of activity budgets can be used. In this study, the daily and nightly activity budgets of six lions (Panthera leo) and five cheetahs (Acinonyx jubatus) from four EAZA institutions were investigated. Focused on the influencing factor light and feeding, we analysed these activity budgets descriptively. Behaviour was recorded and analysed during the winter months over an observation period of 14 days and 14 nights using infrared-sensitive cameras. Our results show that lions and cheetahs exhibit activity peaks at crepuscular and feeding times, regardless of husbandry. Thus, lions in captivity shift nocturnal behaviour familiar from the wild to crepuscular and diurnal times. In cheetahs, in contrast, captive and wild individuals show similar 24 h behavioural rhythms. The resting behaviour of both species is more pronounced at night, with cheetahs having a shorter overall sleep duration than lions. This study describes the results of the examined animals and is not predictive. Nevertheless, the results of this study make an important contribution to gaining knowledge about possible factors influencing the behaviour of lions and cheetahs in zoos and offer implications that could be useful for improving husbandry and management.
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Social network analysis of animal behaviour: a promising tool for the study of sociality
Tina W. Wey, Daniel T. Blumstein, Weiwei Shen et al. · Animal Behaviour · 2008 · 855 citations
Quantifying levels of animal activity using camera trap data
J. Marcus Rowcliffe, Roland Kays, Bart Kranstauber et al. · Methods in Ecology and Evolution · 2014 · 586 citations · Full text
Life Sciences, Ecology, Zoology +16