bioRxivEcologyPreprint
Can we predict the predation pressure of owned domestic cats on all birds in the United States?
Abstract
Domestic cats (Felis catus) have shared a common history with humans since their domestication 10,000 years ago and today they are one of the worlds most widespread predatory mammals. Different populations of domestic cats around the world show a high degree of variability in terms of their autonomy from humans for feeding or moving about, with common descriptions ranging from owned domestic cats to feral domestic cats on the spectrum from the most dependent to the most autonomous about humans. Distinguishing between owned and other domestic cats, I proposed a framework based on machine learning and citizen science data to predict the annual predation pressure on bird species per domestic cat considering traits, phylogeny and geographical distribution. Leveraging the Random Forest model and data from Mori et al. (2019), I assessed the predation pressure for each native continental bird species of the United States. Findings revealed that geographical distribution, phylogeny and traits influenced the predictive value of predation pressure, while a specific trait combination was also associated with high predation pressure. Furthermore, 35% of species experienced high predation pressure from owned domestic cats regardless of the existing threats. The results are consistent with former empirical evidence of predation by domestic cats in the United States and highlight the urgency of understanding the ecological impact of domestic cats. By producing a quantitative value for predation pressure, the framework allows the development of more reliable models of species extinction risk, including for the effects of domestic cat predation, and thus the use of more specific management strategies to sensitive populations. Although the study requires further refinement, the framework offers promising insights. With expanded citizen science protocols, it could help improve the extinction risk models and guide precise management strategies, which are crucial for mitigating the impact of domestic cats on native wildlife.
- research focus: host-pathogen & immune response
- research focus: ecology & biodiversity
- research focus: benchmarking
- research focus: database / resource
- approach: machine learning (classical)
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Anthropogenic factors influence the occupancy of an invasive carnivore in a suburban preserve system
J. P. Vanek, A. U. Rutter, … G. A. Glowacki·bioRxiv·Feb 10, 2020
- The catscape: spatial manifestation of a pet cat population with outdoor access
R. Bischof, N. R. Hansen, … T. Haugaasen·bioRxiv·Dec 20, 2021
- Human subsidies facilitate hyperpredation of Mediterranean island wildlife by outdoor cats
Jeffrey Ferrer, John Vandermeer, … Johannes Foufopoulos·bioRxiv·Jul 27, 2025
- Degree of urbanization and predation pressure on artificial lepidopteran caterpillars in Cali, Colombia
Jefferson Cupitra-Rodríguez, Lorena Cruz-Bernate, James Montoya-Lerma·bioRxiv·Dec 11, 2018
- Camera traps unable to determine whether plasticine models of caterpillars reliably measure bird predation
Laura Schillé, Nattan Plat, … Anna Mrázová·PLoS ONEPeer-reviewed·Mar 6, 2025
- Modeling vehicle collision risk for the jungle cat in the Hyrcanian forests of Iran: A guide for vehicle collision prevention
Abbas Ashoori, Anooshe Kafash, … Masoud Yousefi·PLoS ONEPeer-reviewed·May 14, 2026