Can we predict the predation pressure of owned domestic cats on all birds in the United States?
Philippe-Lesaffre, M.
Show 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.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- To what extent can life history strategies inform species conservation planning? 94%
- How citizen science could improve Species Distribution Models and their independent assessment 93%
- Fine-scale coexistence between Mediterranean mesocarnivores is mediated by spatial, temporal and trophic resource partitioning 93%
Similar papers in this journal
- Resource competition drives an invasion-replacement event among shrew species on an island 94%
- Generation time and seasonal migration explain variation in spatial population synchrony across European bird species 93%
- Roadkill islands: carnivore extinction shifts seasonal use of roadside carrion by generalist avian scavenger 93%
Similar papers in this journal
- Model-based integration of citizen-science data from disparate sources increases the precision of bird population trends 94%
- Functional group-dependent responses of forest bird communities to invasive predator control and habitat fragmentation 94%
- Global conservation prioritization approach provides credible results at a regional scale 94%
Similar papers in this journal
- Identifying functionally distinctive and threatened species 95%
- An expert-based global assessment of threats and conservation measures for subterranean ecosystems 93%
- Terrain ruggedness and human activities influence the distribution of Grauer's gorillas (Gorilla beringei graueri) and eastern chimpanzees (Pan troglodytes schweinfurthii) in the Tayna Nature Reserve, Democratic Republic of Congo 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.