Work

Pinpointing bird species vulnerability to free-ranging domestic cats using trait-based predictive models

Year: 2025

Type: article

Abstract: We developed a method to assess bird species’ vulnerability to predation by free-ranging domestic cats ( Felis catus ) using prey preference data from citizen science in Italy and the United Kingdom. By combining species traits and geographical range, we trained random forest models to predict prey preferences and identify missing prey species. Our analysis showed that including the geographical range significantly improved model accuracy and reduced prey detectability issues. Cross-validation confirmed that models trained in one country could effectively predict prey preferences in another, allowing for broader application. Shapley additive explanations values analysis revealed that small, generalist birds with a low hand-wing index and large geographical range were most likely to be preyed upon. We used these models to create vulnerability lists for United States bird species, which showed moderate overlap but high consistency with previous studies, highlighting their robustness. These results showed that this method could thus be used to improve our understanding of cat predation and inform targeted conservation strategies, with better citizen science data being crucial for further improvements.

Source: Ecological Indicators

DOI: 10.1016/j.ecolind.2025.113434

Authors: Martin Philippe-Lesaffre, Elsa Bonnaud

Institutions: Centre National de la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, Ecologie, Société, Evolution

Language: English

Topic: Animal Ecology and Behavior Studies

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: gold

Estimated APC paid: $3,650