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Titre :
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Passive acoustic monitoring as a tool for retroactively assessing range boundaries of cryptic species (2025)
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Auteurs :
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Samuelle Simard-Provençal, Auteur ;
Jeremiah C. Kennedy, Auteur ;
Erin M. Bayne, Auteur ;
Richard W. Hedley, Auteur
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Type de document :
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Article
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Dans :
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Wilson Journal of Ornithology (The) (137(2) June, 2025)
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Article en page(s) :
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155-175
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Mots-clés:
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Bioacoustics
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Vireo gilvus
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Warbling Vireo
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bioacústica
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boosted regression tree
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contact zone
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cryptic species
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passive acoustic monitoring
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zona de contacto
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árbol de regresión aumentada
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Résumé :
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When one species is split into two, basic questions arise about where the newly-recognized species occur and where they come into contact. Large and growing archives of passive acoustic monitoring data are an untapped resource for cheaply and efficiently resolving the distributions of vocal species facing taxonomic splits. We used recordings from regions of allopatry to analyze the distinctiveness of two subspecies of Warbling Vireo that have been suggested as different species (Vireo gilvus gilvus and Vireo gilvus swainsoni). We then trained and tested a boosted regression tree and two human observers on the acoustic classification of the songs and re-classified 221 recordings from passive acoustic monitoring in Alberta, Canada, which had been initially identified to the level of species. Analyses from allopatry showed that songs of the two Warbling Vireo taxa were statistically distinct in 10 of 11 acoustic variables, showed quantitative divergence scores consistent with recognized species, and were classifiable with 93–100% accuracy. When existing passive acoustic monitoring data were re-classified, clear geographic patterns emerged, with little to no overlap in the distributions of the two taxa. Our results highlight the potential for passive acoustic monitoring data to be used to map the distributions of taxa facing taxonomic revision. If data from these monitoring programs can be permanently stored and made available for research, they can allow efficient assessments of the distributions of cryptic species without the need for dedicated field work.
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En ligne :
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https://doi.org/10.1080/15594491.2025.2450907
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