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Differential predation patterns of free‐ranging cats among continents

hal.structure.identifierEcologie Systématique et Evolution [ESE]
dc.contributor.authorPHILIPPE‐LESAFFRE, Martin
hal.structure.identifierFlinders University [Adelaide, Australia]
dc.contributor.authorBRADSHAW, Corey
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorCASTAÑEDA GONZÁLEZ, Irene
hal.structure.identifierFlinders University [Adelaide, Australia]
dc.contributor.authorLLEWELYN, John
hal.structure.identifierThe University of Sydney
dc.contributor.authorDICKMAN, Christopher
hal.structure.identifierAuburn University [AU]
dc.contributor.authorLEPCZYK, Christopher
hal.structure.identifierAuburn University [AU]
dc.contributor.authorFANTLE-LEPCZYK, Jean
hal.structure.identifierEcologie Systématique et Evolution [ESE]
dc.contributor.authorMARINO, Clara
hal.structure.identifierEcologie Systématique et Evolution [ESE]
dc.contributor.authorCOURCHAMP, Franck
hal.structure.identifierEcologie Systématique et Evolution [ESE]
dc.contributor.authorBONNAUD, Elsa
dc.date.accessioned2025-05-14T02:02:13Z
dc.date.available2025-05-14T02:02:13Z
dc.date.issued2024-10-16
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/206621
dc.description.abstractEn<div><p>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.</p></div>
dc.language.isoen
dc.publisherWiley
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.encat
dc.subject.enco-evolution
dc.subject.enmachine learning
dc.subject.enPredation
dc.title.enDifferential predation patterns of free‐ranging cats among continents
dc.typeArticle de revue
dc.identifier.doi10.1111/ecog.07169
dc.subject.halSciences de l'environnement
bordeaux.journalEcography
bordeaux.volume2025
bordeaux.hal.laboratoriesBioGeCo (Biodiversité Gènes & Communautés) - UMR 1202*
bordeaux.issue4
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-04799698
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04799698v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=Ecography&amp;rft.date=2024-10-16&amp;rft.volume=2025&amp;rft.issue=4&amp;rft.au=PHILIPPE%E2%80%90LESAFFRE,%20Martin&amp;BRADSHAW,%20Corey&amp;CASTA%C3%91EDA%20GONZ%C3%81LEZ,%20Irene&amp;LLEWELYN,%20John&amp;DICKMAN,%20Christopher&amp;rft.genre=article


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