The Status of Glaucous Gulls &lt;i&gt;Larus hyperboreus&lt;/i&gt; in the Circumpolar Arctic

Petersen, Aevar; Irons, David B.; Gilchrist, H. Grant; Robertson, Gregory J.; Boertmann, David; Strøm, Hallvard; Gavrilo, Maria; Artukhin, Yuri B.; Clausen, Daniel Spelling; Kuletz, Kathy J.; Mallory, Mark L.

doi:10.14430/arctic4462

Cited by 20 publications

(29 citation statements)

References 37 publications

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“…Despite the relative remoteness of Arctic regions, large-scale population declines have been reported for species like thick-billed murres (Uria lomvia; Frederiksen et al 2016), black-legged kittiwakes (Rissa tridactyla; Descamps et al 2017), glaucous gulls (Larus hyperboreus; Petersen et al 2015), common eiders (Somateria mollissima; Gilliland et al 2009) and ivory gulls (Pagophila eburnea; Gilchrist & Mallory 2005). Human harvest and interactions with fisheries have been implicated in some declines, and apparent adult survival of some Arctic species is influenced by climatic conditions (Sandvik et al 2005;Hovinen et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Adult survival of Arctic terns in the Canadian High Arctic

Davis¹,

Maftei²,

Fife

et al. 2018

Polar Research

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Arctic tern (Sterna paradisaea) populations are thought to be in decline across much of their range. For long-lived seabirds, determining adult survival rates is key to understanding current population trends and predicting trajectories. We therefore examined adult survival of terns banded at our field site in the Canadian High Arctic between 2007 and 2016. Apparent adult survival was 0.883, comparable to values for other tern species and for other Arctic larids. However, using this survival rate plus first year survival values from a recent study in Iceland, we project a declining trend for terns in the Canadian High Arctic, consistent with recent reports from local ecological knowledge and limited regional surveys. Our data suggest that low adult survival is not responsible for declining tern populations, and that studies should investigate whether dispersal to new nesting locations may be underway, or that young terns are not surviving well or recruiting to the population.

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Section: Introductionmentioning

confidence: 99%

Adult survival of Arctic terns in the Canadian High Arctic

Davis¹,

Maftei²,

Fife

et al. 2018

Polar Research

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“…The NPR-A was surveyed more intensely (mean = 15 times; range = 1-24) than the ANWR (mean = 6 times; range = 1-15). The mean onset of phenological spring was [11][12]SD = 6.14;, but the onset of spring advanced approximately 9 days between 1992 and 2016 (Appendix 2). The early-flown survey was conducted on average 0.6 (SD = 6.12) days after the predicted onset of spring (range: -26-25) while the average late-flown survey was conducted 14 (SD = 6.59) days after the predicted onset of spring (range: - .…”

Section: Resultsmentioning

confidence: 99%

“…60 3,987.68 41,661.12 45,929.89 48,770.03 51,467.37 56,969.34 N.sum2 [11] 49,952. 15 4,466.97 42,020.72 46,839.76 49,670.45 52,800.96 59,424.16 N.sum2[12] 51 [7] 0.060 0.050 -0.041 0.029 0.059 0.090 0.163 R.growth [8] 0.045 0.048 -0.059 0.017 0.046 0.077 0.137 R.growth [9] 0.041 0.049 -0.068 0.013 0.044 0.073 0.132 R.growth [10] 0.048 0.050 -0.061 0.019 0.049 0.079 0.150 R.growth [11] 0.064 0.049 -0.033 0.035 0.062 0.093 0.171 R.growth [12] 0.083 0.049 -0.007 0.050 0.079 0.110 0.198 R.growth [13] 0.099 0.055 0.008 0.062 0.091 0.130 0.227 R.growth [14] 0 [16] 0.094 0.048 0.005 0.063 0.091 0.121 0.204 R.growth [17] 0.072 0.044 -0.023 0.046 0.073 0.099 0.160 R.growth [18] 0.046 0.052 -0.069 0.014 0.049 0.082 0.140 R.growth [19] 0 14,891.212 14,929.886 14,950.263 14,970.318 14,999.424 Tables A4.9. Bayesian generalized linear mixed model output for Tundra Swan observed during aerial surveys 1992-2016 on the Arctic Coastal Plain, Alaska.…”

Section: Resultsmentioning

confidence: 99%

“…See Table A4. 4 [11] -0.029 0.085 -0.211 -0.080 -0.022 0.023 0.130 S.eff [12] 0.013 0.085 -0.159 -0.037 0.009 0.062 0.190 S.eff [13] -0.070 0.094 -0.280 -0.127 -0.058 -0.004 0.092 S.eff [14] 0 27,380.102 218.923 26,963.061 27,232.155 27,374.916 27,523.178 27,818.065 Tables A4.10. Bayesian generalized linear mixed model output for Northern Pintail observed during aerial surveys 1992-2016 on the Arctic Coastal Plain, Alaska.…”

Section: Resultsmentioning

confidence: 99%

“…See Table A4. 4 [4] 0.259 0.094 0.080 0.195 0.255 0.320 0.456 y0 [5] 0.060 0.091 -0.112 -0.003 0.057 0.118 0.249 y0 [6] -0.273 0.094 -0.460 -0.335 -0.275 -0.211 -0.089 y0 [7] 0.047 0.089 -0.133 -0.012 0.047 0.107 0.220 y0 [8] 0.128 0.086 -0.049 0.073 0.128 0.185 0.297 y0 [9] 0.218 0.085 0.038 0.166 0.220 0.275 0.379 y0 [10] -0.049 0.084 -0.220 -0.102 -0.046 0.006 0.111 y0 [11] -0.013 0.081 -0.174 -0.065 -0.010 0.040 0.142 y0 [12] -0.104 0.079 -0.263 -0.155 -0.102 -0.050 0.046 y0 [13] 0.115 0.074 -0.035 0.068 0.119 0.167 0.253 y0 [14] -0.243 0.083 -0.416 -0.295 -0.242 -0.187 -0.085 y0 [15] -0.160 0.081 -0.330 -0.214 -0.157 -0.105 -0.009 y0 [16] -0.011 0.077 -0.165 -0.062 -0.010 0.040 0.139 y0 [17] 0 [2] -0.300 0.078 -0.451 -0.352 -0.300 -0.248 -0.145 R.growth [3] 0.413 0.072 0.273 0.364 0.413 0.460 0.554 R.growth [4] 0.032 0.057 -0.078 -0.007 0.032 0.070 0.144 R.growth [5] -0.183 0.065 -0.309 -0.228 -0.183 -0.140 -0.056 R.growth [6] 0.554 0.059 0.441 0.513 0.554 0.593 0.673 R.growth [7] -0.083 0.043 -0.168 -0.112 -0.084 -0.054 0.003 R.growth [8] 0.062 0.044 -0.023 0.033 0.062 0.091 0.150 R.growth [9] -0.253 0.051 -0.356 -0.287 -0.253 -0.219 -0.154 R.growth [10] -0.008 0.059 -0.125 -0.048 -0.008 0.032 0.107 R.growth [11] -0 [13] -0.396 0.069 -0.533 -0.442 -0.396 -0.347 -0.265 R.growth [14] 0.123 0.077 -0.028 0.072 0.123 0.175 0.274 R.growth [15] 0.188 0.065 0.061 0.144 0.187 0.231 0.318 R.growth [16] 0.046 0.051 -0.055 0.011 0.046 0.081 0.145 R.growth [17] -0.264 0.055 -0.375 -0.301 -0.264 -0.227 -0.157 R.growth [18] 0.169 0.059 0.054 0.128 0.170 0.208 0.285 R.growth [19] -0…”

Section: Resultsmentioning

confidence: 99%

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Spatio-temporal population change of Arctic-breeding waterbirds on the Arctic Coastal Plain of Alaska

Amundson¹,

Flint²,

Stehn³

et al. 2019

ACE

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Rapid physical changes that are occurring in the Arctic are primary drivers of landscape change and thus may drive population dynamics of Arctic-breeding birds. Despite the importance of this region to breeding and molting waterbirds, lack of a comprehensive analysis of historic data has hindered quantifying avian population change. We estimated distribution, abundance, and spatially explicit population trend of 20 breeding waterbird species using 25 years (1992-2016) of aerial survey data collected on the Arctic Coastal Plain (ACP), Alaska. The ACP is an extensive wetland complex on Alaska's North Slope that supports millions of breeding waterbirds and includes portions of the National Petroleum Reserve-Alaska and the Arctic National Wildlife Refuge. We summarized annual counts into approximately 6-km by 6-km grid cells and analyzed data with generalized linear mixed models that accounted for survey timing and spatio-temporal autocorrelation. Geese and swans were most abundant along the coast between Admiralty Bay and Prudhoe Bay. Sea ducks, generalist predators (i.e., jaeger, gulls, terns), and loons were most abundant between Utqiaġvik and Point Lay, Alaska. Important areas for most species included the coastal fringe near Teshekpuk Lake, the Colville River Delta, and Admiralty Bay. The National Petroleum Reserve-Alaska was an important area for all species examined. Conversely, density on the coastal plain of the Arctic National Wildlife Refuge was greater than average for 20% of species. Annual population growth rates over the 25-year survey period were variable: 13 increased (range: 1.4%-13.8%), one decreased (-3.4%), and six were stable. However, even species with no overall population trend had areas of changing population size, suggesting localized conditions affected waterbird distributions on the ACP. Our results can be used to better inform land use decisions, improve monitoring of waterbird populations, and increase understanding of avian response to ecological change in the Arctic. Changements spatio-temporels chez des populations d'oiseaux aquatiques nichant dans la Plaine côtière arctique de l'Alaska RÉSUMÉ. Les changements physiques rapides qui se produisent dans l'Arctique figurent parmi les premiers facteurs responsables des changements qui surviennent dans le paysage, et pourraient donc déterminer la dynamique des populations d'oiseaux nichant dans l'Arctique. Malgré l'importance de cette région pour la nidification et la mue des oiseaux aquatiques, l'absence d'une analyse complète des données historiques a freiné la quantification des changements advenus dans les populations d'oiseaux. Nous avons estimé la répartition, l'abondance et la tendance des populations de façon explicite spatialement chez 20 espèces d'oiseaux aquatiques au moyen de 25 années (1992-2016) de données issues de relevés aériens menés sur la Plaine côtière arctique (PCA), en Alaska. La PCA est un vaste complexe de milieux humides dans la région de North Slope en Alaska et supporte des millions d'oiseaux aquatiques nicheurs...

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Origin of the Northeast Atlantic Islands Bird Fauna

Petersen¹,

Olsen

2021

Biogeography in the Sub‐Arctic

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The Status of Glaucous Gulls <i>Larus hyperboreus</i> in the Circumpolar Arctic

Cited by 20 publications

References 37 publications

Adult survival of Arctic terns in the Canadian High Arctic

Adult survival of Arctic terns in the Canadian High Arctic

Spatio-temporal population change of Arctic-breeding waterbirds on the Arctic Coastal Plain of Alaska

Origin of the Northeast Atlantic Islands Bird Fauna

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