Apparent annual survival of adult Vermivora chrysoptera (Golden-winged Warbler) does not differ by sex or region
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Le résumé fourni par la source
Abstract Understanding range-wide demographic, spatial, and temporal variation in annual survival is essential for managing species of conservation concern. Multi-population models are useful tools for integrating diverse datasets, reducing biases, and deriving survival estimates across differing spatial scales. We conducted a range-wide, multi-population apparent annual survival analysis for a declining songbird, Vermivora chrysoptera (Golden-winged Warbler), using data from 18 sites across its breeding and nonbreeding grounds. This Nearctic-Neotropical migrant breeds in 2 disjunct regional populations, the Great Lakes and Appalachian Mountains, which are experiencing different rates of decline. We aimed to quantify regional-, site-, and sex-specific apparent annual survival estimates to identify geographic patterns or demographic factors influencing population declines. We used simulations to assess the precision of our estimates. Our models did not reveal a substantial difference in apparent annual survival between the Great Lakes (0.41, 95% credible interval (CrI):0.31–0.50) and the Appalachian regions (0.49, 95% CrI: 0.36–0.60), as CrIs overlapped. Site-specific estimates also showed no clear differences in apparent annual survival among sites representing both regional populations. Male apparent annual survival tended to be greater than female apparent annual survival in both regions, though CrI’s overlapped. Our study suggests demographic factors other than adult annual survival likely play a larger role in recent regional and range-wide population declines, such as productivity, juvenile/immature survival, or recruitment. Simulations indicate that improving recapture probability and study duration of datasets could lead to more precise apparent annual survival estimates. However, our model produced CrI ranges comparable to the most ideal data collection scenario, suggesting the lack of trends we found was not due to variability in our estimates. We stress the importance of addressing inherent biases in survival datasets and the need for standardized collaborative efforts to inform species conservation on a range-wide scale.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé, mais le titre doit être comparé manuellement.
- Titre Crossref
- Apparent annual survival of adult <i>Vermivora chrysoptera</i> (Golden-winged Warbler) does not differ by sex or region
- Date Crossref
- 28/10/2025
- Éditeur
- Oxford University Press (OUP)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Maine Department of Inland Fisheries and Wildlife pays non établi dans la noticeOrganisme public
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University of Maine Department of Wildlife pays non établi dans la noticeUniversité ou école supérieure
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United States Geological Survey pays non établi dans la noticeOrganisme public
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Upper Midwest Environmental Sciences Center pays non établi dans la noticeStructure de recherche
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West Virginia University West Virginia Cooperative Fish and Wildlife Research Unit pays non établi dans la noticeUniversité ou école supérieure
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Smithsonian Conservation Biology Institute pays non établi dans la noticeStructure de recherche
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National Zoological Park pays non établi dans la noticeInstitution
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Conservation Biology Institute pays non établi dans la noticeOrganisation à but non lucratif
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University of Tennessee at Knoxville pays non établi dans la noticeUniversité ou école supérieure
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Virginia Commonwealth University Center for Environmental Studies pays non établi dans la noticeUniversité ou école supérieure
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University of Cincinnati Department of Biological Sciences pays non établi dans la noticeUniversité ou école supérieure
Maine Department of Inland Fisheries and Wildlife, Department of Wildlife — University of Maine et United States Geological Survey, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.