Nonbreeding isolation and population-specific migration patterns among three populations of Golden-winged Warblers

Kramer, Gunnar R.; Streby, Henry M.; Peterson, Sean M.; Lehman, Justin A.; Buehler, David A.; Wood, Petra Bohall; McNeil, Darin J.; Larkin, Jeffery L.; Andersen, David E.

doi:10.1650/condor-16-143.1

Cited by 34 publications

(53 citation statements)

References 45 publications

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“…Our results also corroborate those of a recent study of Golden‐winged Warblers captured in breeding areas in Minnesota (Kramer et al. ). These authors found that four of 12 (33%) Golden‐winged Warblers marked with geolocators in Minnesota wintered in Nicaragua, and the remaining eight individuals wintered in other portions of Central America, ranging from southern Mexico to Honduras.…”

Section: Discussionsupporting

confidence: 92%

“…The observation that all six males in our study used spring stopover sites prior to flying across the Gulf of Mexico is also consistent with migration routes reported for Golden‐winged Warblers geo‐tagged in Minnesota (Kramer et al. ). Additionally, mean estimated dates for the initiation and termination of spring migration in our study were similar to those reported by Kramer et al.…”

Section: Discussionsupporting

confidence: 89%

“…, Kramer et al. ). The results of isotope analyses suggested that 19 Golden‐winged Warblers sampled in Nicaragua likely migrated to somewhere in the northern portion of the breeding range of Golden‐winged Warblers that extends from New York to southeast Manitoba, a longitudinal expanse of ~1800 km (Hobson et al.…”

Section: Discussionmentioning

confidence: 99%

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Geolocators reveal migratory connectivity between wintering and breeding areas of Golden-winged Warblers

et al. 2017

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The conservation of migratory songbirds is often impeded by a lack of understanding of how populations in breeding and wintering areas are geographically linked (migratory connectivity). In recent years, light‐level geolocators have improved our understanding of migratory connectivity. Such information is valuable for evaluating how conservation efforts align between the breeding and non‐breeding areas of at‐risk species, and help to more effectively prioritize the allocation of conservation funding. Golden‐winged Warblers (Vermivora chrysoptera) are imperiled migratory songbirds, but the extent to which conservation efforts in their breeding and non‐breeding areas coincide with patterns of migratory connectivity are not well known. We used light‐level geolocators to evaluate the extent to which conservation actions targeting Golden‐winged Warblers in Nicaragua and in their breeding range in North America align with patterns of migratory connectivity. We recovered six of 22 geolocators that had been deployed on male Golden‐winged Warblers at the El Jaguar Reserve during the winter of 2015–2016. All six males migrated to breeding areas in the western Great Lakes region that includes eastern Minnesota, northern Wisconsin, southwestern Ontario, and Michigan's Upper Peninsula. All six males also had similar migration routes, with spring stopovers in southern Mexico, Guatemala, and Belize, a trans‐Gulf flight, and a stopover in the region of Louisiana, Arkansas, eastern Oklahoma, and Texas. Our results, in combination with those of previous studies, demonstrate strong migratory connectivity between portions of the breeding and winter distributions of Golden‐winged Warblers currently targeted for conservation. However, additional studies are needed to improve our understanding of the stopover ecology of Golden‐winged Warblers, especially in areas where they remain for extended periods of time. Finally, patterns of migratory connectivity revealed in our study should be used in combination with existing demographic parameters for Golden‐winged Warblers in the western Great Lakes and Nicaragua to help inform full life cycle population models for this imperiled songbird.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 89%

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Geolocators reveal migratory connectivity between wintering and breeding areas of Golden-winged Warblers

et al. 2017

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“…It is possible that the influence of wind is relatively more important in the Afro-Palaearctic flyways compared with, for example, the Americas, where geography strongly affects migratory connectivity [1,2]. If so, we would also expect that there is stronger selection for stochastic rather than deterministic (cf.…”

Section: Discussionmentioning

confidence: 99%

“…Although there are exceptions where strong connectivity between breeding and non-breeding sites exists [2,3], in most migrant landbirds, individuals from different breeding populations are likely to mix during the non-breeding season. We also know that migrant landbirds are typically highly faithful to individual breeding and non-breeding sites, temporarily residing in two or more areas along their individual migration cycle [4].…”

Section: Introductionmentioning

confidence: 99%

Wind conditions and geography shape the first outbound migration of juvenile honey buzzards and their distribution across sub-Saharan Africa

2017

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Contemporary tracking studies reveal that low migratory connectivity between breeding and non-breeding ranges is common in migrant landbirds. It is unclear, however, how internal factors and early-life experiences of individual migrants shape the development of their migration routes and concomitant population-level non-breeding distributions. Stochastic wind conditions and geography may determine whether and where migrants end up by the end of their journey. We tested this hypothesis by satellite-tagging 31 fledgling honey buzzards Pernis apivorus from southern Finland and used a global atmospheric reanalysis model to estimate the wind conditions they encountered on their first outbound migration. Migration routes diverged rapidly upon departure and the birds eventually spread out across 3340 km of longitude. Using linear regression models, we show that the birds' longitudinal speeds were strongly affected by zonal wind speed, and negatively affected by latitudinal wind, with significant but minor differences between individuals. Eventually, 49% of variability in the birds' total longitudinal displacements was accounted for by wind conditions on migration. Some birds circumvented the Baltic Sea via Scandinavia or engaged in unusual downwind movements over the Mediterranean, which also affected the longitude at which these individuals arrived in sub-Saharan Africa. To understand why adult migrants use the migration routes and non-breeding sites they use, we must take into account the way in which wind conditions moulded their very first journeys. Our results present some of the first evidence into the mechanisms through which low migratory connectivity emerges.

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Long‐term changes in autumn–winter harvest distributions vary among duck species, months, and subpopulations

Verheijen,

Webb,

Brasher

et al. 2024

Ecology and Evolution

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Our aim was to describe shifts in autumn and winter harvest distributions of three species of dabbling ducks (blue‐winged teal [Spatula discors], mallard [Anas platyrhynchos], and northern pintail [Anas acuta]) in the Central and Mississippi flyways of North America during 1960–2019. We measured shifts in band recovery distributions corrected for changes in hunting season dates and zones by using kernel density estimators to calculate 10 distributional metrics. We then assessed interannual and intraspecific variation by comparing species‐specific changes in distributional metrics for 4 months (October–January) and three geographically based subpopulations. During 1960–2019, band recovery distributions shifted west‐ and southwards (blue‐winged teal) or east‐ and northwards (mallard and northern pintail) by one hundred to several hundred kilometers. For all three species, the broad (95% isopleth) and core distributions (50% isopleth) showed widespread decreases in overlap and increases in relative area compared to a 1960–1979 baseline period. Shifts in band recovery distributions varied by month, with southward shifts for blue‐winged teal most pronounced in October and northward shifts for mallard and northern pintail greatest during December and January. Finally, distributional metric response varied considerably among mallard subpopulations, including 2–4‐fold differences in longitude, latitude, and overlap, whereas differences among subpopulations were minimal for blue‐winged teal and northern pintail. Our findings support the popular notion that winter (December–January) distributions of duck species have shifted north; however, the extent and direction of distributional changes vary among species and subpopulations. Long‐term distributional changes are therefore complex and summarizing shifts across species, months, or subpopulations could mask underlying finer‐scale patterns that are important to habitat conservation and population management. A detailed understanding of how species distributions have changed over time will help quantify important drivers of species occurrence, identify habitat management options, and could inform decisions on where to focus conservation or restoration efforts.

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Nonbreeding isolation and population-specific migration patterns among three populations of Golden-winged Warblers

Cited by 34 publications

References 45 publications

Geolocators reveal migratory connectivity between wintering and breeding areas of Golden-winged Warblers

Geolocators reveal migratory connectivity between wintering and breeding areas of Golden-winged Warblers

Wind conditions and geography shape the first outbound migration of juvenile honey buzzards and their distribution across sub-Saharan Africa

Long‐term changes in autumn–winter harvest distributions vary among duck species, months, and subpopulations

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