2016
DOI: 10.3354/meps11875
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Contrasting migratory responses of two closely related seabirds to long-term climate change

Abstract: Many marine predators migrate between breeding and non-breeding areas to target resources that are seasonal but spatio-temporally predictable, and so are vulnerable to climateinduced changes in prey phenology and abundance. In the Southern Ocean, small petrels are major consumers, but perturbations in the ecosystem through ocean warming are altering foodweb structure and have been linked to poleward shifts in the distribution of their cold-water zooplankton prey. In this study, we focused on 2 small congeneric… Show more

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Cited by 21 publications
(18 citation statements)
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“…GLMs had a binary response, treating core-area locations as 1 and total foraging range pseudo-absences as 0, and were constructed separately for Lord Howe and Heron Island. To test the effect of different high-resolution oceanographic and tuna covariates on the likelihood of wedge-tailed shearwater foraging, we used generalized linear mixed models (GLMM), fitted in package 'lme4' (Bates et al 2015), with bird identity as the random intercept (Hamer et al 2007, Grecian et al 2016. GLMMs had a binary response, treating foraging or resting locations as 1 and transiting locations as 0, and were constructed separately for each year and colony (Lord Howe Island 2014, 2015 and Heron Island 2015).…”
Section: Statistical Modellingmentioning
confidence: 99%
“…GLMs had a binary response, treating core-area locations as 1 and total foraging range pseudo-absences as 0, and were constructed separately for Lord Howe and Heron Island. To test the effect of different high-resolution oceanographic and tuna covariates on the likelihood of wedge-tailed shearwater foraging, we used generalized linear mixed models (GLMM), fitted in package 'lme4' (Bates et al 2015), with bird identity as the random intercept (Hamer et al 2007, Grecian et al 2016. GLMMs had a binary response, treating foraging or resting locations as 1 and transiting locations as 0, and were constructed separately for each year and colony (Lord Howe Island 2014, 2015 and Heron Island 2015).…”
Section: Statistical Modellingmentioning
confidence: 99%
“…Seabirds are subject to a range of natural and anthropogenic pressures, including from incidental mortality (bycatch) in fisheries, overfishing, invasive species and exposure to pathogens and contaminants [39][40][41]. In addition, global climate change affects prey abundance and distribution at sea, increases the frequency of extreme weather (storms, high winds, rainfall or heatwaves) and possibly the likelihood or severity of disease outbreaks [42][43][44]. Numerous studies have examined levels of a range of heavy metal and other contaminants [39,[45][46][47].…”
Section: Introductionmentioning
confidence: 99%
“…Recent technological advances have reduced the size, mass and cost of bird-borne dataloggers, allowing an increasing number of studies to examine the spatial distribution and activity patterns of the smaller petrels (Procellariidae), including prions (Navarro et al 2013;Quillfeldt et al 2013;2015a;2015b;Cherel et al 2016;Grecian et al 2016b).…”
Section: Introductionmentioning
confidence: 99%