Exploratory Comparison of Behavior and Welfare-Related Indicators in Captive Lions (Panthera leo) Across Three Zoo Enclosures Using Machine-Learning Quantification
Authors:
- Frej GammelgårdFGFrej Gammelgård
- Silje Marquardsen LundSLSilje Marquardsen Lund
- Jonas NielsenJNJonas Nielsen
- Thea Loumand FaddersbøllThea Loumand Faddersbøll
- Trine Hammer JensenTJTrine Hammer Jensen
- Sussie PaghSPSussie Pagh
- Kirstin Anderson HansenKHKirstin Anderson Hansen
- Flemming NielsenFNFlemming Nielsen
- Cino PertoldiCino Pertoldi
Open Access
Abstract
Behavioral monitoring is central to welfare assessment but is difficult to conduct continuously. We used machine-learning-based video analysis to describe lion (Panthera leo) behavior across three zoo enclosures differing in available space, structural complexity and social composition. Interpretation of the Aalborg Zoo profile is additionally constrained by a major recent social change, as the enclosure’s adult male was euthanized five days before data collection began. Continuous recordings collected over 10 days were processed with LabGym, filtered for low-confidence predictions and likely static false detections, and summarized as behavioral durations. Because enclosure characteristics, pride size and cub presence varied only between three enclosures, enclosure was treated as the independent comparative unit; repeated hourly and daily observations were used to characterize within-enclosure temporal variation rather than to generate inferential replication. Analyses therefore focused on time budgets, daily and pooled activity, Shannon and Simpson diversity, within- and between-day behavioral instability, social interaction and pacing-like movement. The three enclosures showed distinct behavioral profiles. Diversity was lowest in Aalborg Zoo, social interaction did not increase consistently with pride size, and pacing-like movement was concentrated in Aalborg Zoo. However, the pacing-like measure should be interpreted as a screening indicator, as only 27.7% of manually annotated pacing-like lion-time was retained as pacing-like by the complete pipeline; it therefore cannot be interpreted as an estimate of true pacing prevalence. Activity was highest in Aalborg Zoo, but did not vary consistently with available space or structural complexity across the three enclosures. Automated quantification can support high-resolution exploratory welfare monitoring, but broader inference requires substantially more independently replicated enclosures.Keywords
Funding Information
- Aalborg Zoos Naturbevaringsfond (2024-06)
This publication has 44 references indexed in Scilit:
- Automatic identification of stone-handling behaviour in Japanese macaques using LabGym artificial intelligencePrimates, 2024
- LabGym: Quantification of user-defined animal behaviors using learning-based holistic assessmentCell Reports Methods, 2023
- A standardized ethogram for the felidae: A tool for behavioral researchersApplied Animal Behaviour Science, 2015
- Toward a Science of Computational EthologyNeuron, 2014
- Automated image-based tracking and its application in ecologyTrends in Ecology & Evolution, 2014
- The bushmeat trade in African savannas: Impacts, drivers, and possible solutionsBiological Conservation, 2013
- The size of savannah Africa: a lion’s (Panthera leo) viewBiodiversity and Conservation, 2012
- Captivity effects on wide-ranging carnivoresNature, 2003
- Philosophy of environmental enrichment: Past, present, and futureZoo Biology, 2001
- Preliminary Evaluation of Environmental Enrichment Techniques for African Lions (Panthera leo)Animal Welfare, 1995