2023
DOI: 10.1093/ornithology/ukad024
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Pacific Barrow’s Goldeneye refine migratory phenology in response to overwintering temperatures and annual snowmelt

Abstract: Timing of seasonal bird migrations is broadly determined by internal biological clocks, which are synchronized by photoperiod, but individuals often refine their migratory timing decisions in response to external factors. Using 11 years of satellite telemetry data, we show that Pacific Barrow’s Goldeneye (Bucephala islandica), at higher latitudes, initiated spring and molt migrations later and fall migration earlier than individuals at lower latitudes. We further show that individuals refined migratory timing … Show more

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Cited by 3 publications
(2 citation statements)
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“…For example, because juveniles spend more time on nonbreeding areas, they have higher risk of exposure to marine-based contamination (e.g., oil spills) than adults. Also, adult Barrow’s goldeneyes have been shown to adjust their spring migration to accommodate variation in weather and snow conditions [ 58 ], which juveniles likely do not need to do given their later departure. Recognition of age-specific movement and habitat use may be important when considering environmental or anthropogenic effects on wildlife populations (Additional file 1 ).…”
Section: Discussionmentioning
confidence: 99%
“…For example, because juveniles spend more time on nonbreeding areas, they have higher risk of exposure to marine-based contamination (e.g., oil spills) than adults. Also, adult Barrow’s goldeneyes have been shown to adjust their spring migration to accommodate variation in weather and snow conditions [ 58 ], which juveniles likely do not need to do given their later departure. Recognition of age-specific movement and habitat use may be important when considering environmental or anthropogenic effects on wildlife populations (Additional file 1 ).…”
Section: Discussionmentioning
confidence: 99%
“…The use of these variables may dominate the results of models seeking to explain more subtle elements of habitat selection including habitat structure. To look more closely at the selection for specific elements of habitat structure, we followed the methods described in Žydelis et al (2006) and forced the four standard variables into all our multivariate models grouped as a single "BASE" covariate (Kemp et al, 2023;Morin et al, 2020). By condensing these four covariates into a single group, we reduced the number of possible candidate models and allowed for a focused assessment of the relative importance of lidar-derived structure covariates (Morin et al, 2020).…”
Section: Base Covariatesmentioning
confidence: 99%