Movements and wintering areas of breeding age Thick-billed Murre Uria lomvia from two colonies in Nunavut, Canada

Gaston, Anthony J.; Smith, Paul A.; Tranquilla, Laura McFarlane; Montevecchi, William A.; Fifield, David; Gilchrist, H. Grant; Hedd, April; Robertson, Gregory J.; Phillips, Richard A.

doi:10.1007/s00227-011-1704-9

Cited by 47 publications

(54 citation statements)

References 32 publications

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“…In 1976, the population was estimated at 140 000 pairs (Birkhead and Nettleship, 1980). Although no later estimates are available for Cape Hay, monitoring at other Arctic colonies suggests a modest increase since the 1970s (Gaston, 2002;Gaston et al, 2012). We have no details of Tuck's census methods, and the technique used in 1976 probably underestimated the population , so it is difficult to assess the significance of the apparent change in numbers between the 1950s and 1970s.…”

Section: Discussionmentioning

confidence: 98%

“…The only colonies at which substantial numbers of adults were banded were Digges Sound (1955), Cape Hay (1957), and Coats Island (1981-2000. The distribution of these recoveries in relation to time elapsed from banding over the first 10 years does not follow the expected decline with age (Fig.…”

Section: Age Effectsmentioning

confidence: 94%

“…He concluded that the majority of birds from Cape Hay wintered off Greenland, whereas most birds from Digges Sound, and probably also from Coats Island, wintered off Newfoundland. Subsequent to that publication, additional encounters from Tuck's banding efforts were reported and analyzed by Gaston (1980). A detailed analysis of the geographical distribution and timing of recoveries in Newfoundland and Labrador up to 1993 was presented by Donaldson et al (1997).…”

Section: Introductionmentioning

confidence: 99%

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A Review of Thick-Billed Murre Banding in the Canadian Arctic, 1950–2010

Gaston¹,

Robertson²

2014

ARCTIC

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ABSTRACT. Banding of Thick-billed Murres Uria lomvia in the Canadian Arctic was initiated by L.M. Tuck in the 1950s, when he visited three of the largest breeding colonies in Canada. Up to 2010, banding had been carried out at eight of the 10 major breeding colonies, with totals of more than 1000 birds banded at Coburg Island and Cape Hay, Bylot Island, in the High Arctic and at Digges Sound and Coats Island in northern Hudson Bay. Because murres are long-lived birds, large-scale banding can continue to provide useful results for decades. A total of about 89 000 bandings in Arctic Canada resulted in 1757 usable recoveries up to 2010, the vast majority of which were birds killed by hunters in West Greenland or Newfoundland and Labrador. There was no apparent change in the large-scale geographical pattern of recoveries over the period reviewed, but the proportion of bands recovered has fallen. Several periods of higher-or lower-than-expected recoveries can be attributed to particular events: anomalous ice conditions, intensive gill-net fisheries, and oiling at sea. Thus, banding provided a useful tool not only for identifying migration and wintering areas, but also for identifying transient sources of increased mortality.

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Section: Discussionmentioning

confidence: 98%

Section: Age Effectsmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

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A Review of Thick-Billed Murre Banding in the Canadian Arctic, 1950–2010

Gaston¹,

Robertson²

2014

ARCTIC

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“…Defining period-specific space use can help to identify the source or severity of common or distinct threats posed at different periods in the annual cycle for a species, and for further sub-groups divided by for example age-class (e.g., Péron and Grémillet, 2013;Riotte-Lambert and Weimerskirch, 2013;Gutowsky et al, 2014a), or sex (e.g., Phillips et al, 2004;Hedd et al, 2014). At the colony level, individual-based tracking data have been used to discern period-and colony-specific space use and potential associated impacts for population dynamics for a variety of seabird species (e.g., Young et al, 2009;Catry et al, 2011;Gaston et al, 2011;Wakefield et al, 2011;Frederiksen et al, 2012;McFarlane Tranquilla et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Individual-level Variation and Higher-level Interpretations of Space Use in Wide-ranging Species: An Albatross Case Study of Sampling Effects

et al. 2015

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Marine ecologists and managers need to know the spatial extent of at-sea areas most frequented by the groups of wildlife they study or manage. Defining group-specific ranges and distributions (i.e., space use at the level of species, population, age-class, etc.) can help to identify the source or severity of common or distinct threats among different at-risk groups. In biologging studies, this is accomplished by estimating the space use of a group based on a sample of tracked individuals. A major assumption of these studies is consistency in individual movements among members of a group. The implications of scaling up individual-level tracking data to infer higher-level spatial patterns for groups (i.e., size and extent of areas used, overlap or segregation among groups) is not well documented for wide-ranging pelagic species with high potential for individual variation in space use. We present a case study exploring the effects of sampling (i.e., number and identity of individuals contributing to an analysis) on defining group-specific space use with year-round multi-colony tracking data from two highly vagile species, Laysan (Phoebastria immutabilis) and black-footed (P. nigripes) albatrosses. The results clearly demonstrate that caution is warranted when defining space use for a specific species-colony-period group based on datasets of small, intermediate, or relatively large sample sizes (ranging from n = 3-42 tracked individuals) due to a high degree of individual-level variation in movements. Overall, we provide further support to the recommendation that biologging studies aiming to define higher-level patterns in space use exercise restraint in the scope of inference, particularly when pooled Kernel Density Estimation (KDE) techniques are applied to small datasets for wide-ranging species. Transparent reporting in respect to the potential limitations of the data can in turn better inform both biological interpretations and science-based management decisions.

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“…Geolocators have provided data on the nonbreeding spatial distribution and migratory patterns of seabirds (Gaston et al 2011, Hedd et al 2011, Pinet et al 2011) that were difficult to study without ABSTRACT: Geolocators provide information on the year-round movements of birds. The effect of the year-round deployment of such devices has, however, largely been examined via measures that are relatively insensitive to small changes in nutritional condition, such as return body mass, return rate and reproductive success.…”

Section: Introductionmentioning

confidence: 99%