Differential predation patterns of free‐ranging cats among continents

Co‐evolutionary relationships associated with biogeographical context mediate the response of native prey to introduced predators, but this effect has not yet been demonstrated for domestic cats. We investigated the main factors influencing the vulnerability of prey species to domestic cat Felis catus predation across Australia, Europe and North America, where domestic cats are introduced. In addition to prey data from empirical records, we used machine‐learning models to compensate for unobserved prey in the diet of cats. We found continent‐specific patterns of predation: birds were more frequently depredated by cats in Europe and North America, while mammals were favoured in Australia. Bird prey traits were consistent across continents, but those of mammalian prey diverged, notably in Australia. Differences between prey and non‐prey species included mass, distribution, and reproductive traits, except in Australian mammals where there was no evidence for a relationship between mass and the probability of being prey. Many Australian mammal prey also have a high extinction risk, emphasizing their vulnerability compared to European and North American counterparts. Our findings highlight the role of eco‐evolutionary context in assessing predation impacts and also demonstrate the potential for machine learning to identify at‐risk species, thereby aiding global conservation efforts to reduce the negative impacts of introduced predators.

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Publication Details

Journal
Ecography
Published
2024-11-20
DOI
https://doi.org/10.1111/ecog.07169
Citations
4
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
1.84

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article

Differential predation patterns of free‐ranging cats among continents

Irene Castañeda, Elsa Bonnaud, Martin Philippe‐Lesaffre, Franck Courchamp et al.
4 citations
Ecography
Wildlife Ecology and Conservation
1.84
article

Differential predation patterns of free‐ranging cats among continents

Irene Castañeda, Elsa Bonnaud, Martin Philippe‐Lesaffre, Franck Courchamp, Jean Fantle‐Lepczyk, Corey J. A. Bradshaw, Christopher A. Lepczyk, Chris R. Dickman, John Llewelyn, Clara Marino
article en
4 citations

Abstract

Co‐evolutionary relationships associated with biogeographical context mediate the response of native prey to introduced predators, but this effect has not yet been demonstrated for domestic cats. We investigated the main factors influencing the vulnerability of prey species to domestic cat Felis catus predation across Australia, Europe and North America, where domestic cats are introduced. In addition to prey data from empirical records, we used machine‐learning models to compensate for unobserved prey in the diet of cats. We found continent‐specific patterns of predation: birds were more frequently depredated by cats in Europe and North America, while mammals were favoured in Australia. Bird prey traits were consistent across continents, but those of mammalian prey diverged, notably in Australia. Differences between prey and non‐prey species included mass, distribution, and reproductive traits, except in Australian mammals where there was no evidence for a relationship between mass and the probability of being prey. Many Australian mammal prey also have a high extinction risk, emphasizing their vulnerability compared to European and North American counterparts. Our findings highlight the role of eco‐evolutionary context in assessing predation impacts and also demonstrate the potential for machine learning to identify at‐risk species, thereby aiding global conservation efforts to reduce the negative impacts of introduced predators.

EcographyVol. 2025(4)
Centre National de la Recherche Scientifique (FR), The University of Sydney (AU), Bush Heritage Australia (AU), Université de Bordeaux (FR), Flinders University (AU), AgroParisTech (FR), Université Paris-Saclay (FR), Ecologie, Société, Evolution (FR), UMR BIOdiversity, GEnes & Communities (FR), Auburn University (US)
Fondation pour la Recherche sur la Biodiversite, Université Paris-Saclay
Life in Land
Openalex Percentile: Top 14%
Wildlife Ecology and Conservation
1.84
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