@article{
 title = {Mesoscale fronts as foraging habitats: Composite front mapping reveals oceanographic drivers of habitat use for a pelagic seabird},
 type = {article},
 year = {2014},
 identifiers = {[object Object]},
 keywords = {Foraging,Habitat use,Marine vertebrate,Oceanographic front,Remote sensing,Seabird},
 volume = {11},
 id = {b74f946c-f8c3-359c-bae7-b5f5c71d68fd},
 created = {2020-10-08T17:46:36.738Z},
 file_attached = {true},
 profile_id = {1fa2588f-51c8-363f-a9a8-c1bf44b40c2b},
 group_id = {3addd0f7-d578-34d3-be80-24022cc062a1},
 last_modified = {2020-10-08T17:46:44.499Z},
 read = {false},
 starred = {false},
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 confirmed = {true},
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 private_publication = {false},
 abstract = {The oceanographic drivers of marine vertebrate habitat use are poorly understood yet fundamental to our knowledge of marine ecosystem functioning. Here, we use composite front mapping and high-resolution GPS tracking to determine the significance of mesoscale oceanographic fronts as physical drivers of foraging habitat selection in northern gannets Morus bassanus. We tracked 66 breeding gannets from a Celtic Sea colony over 2 years and used residence time to identify area-restricted search (ARS) behaviour. Composite front maps identified thermal and chlorophyll-a mesoscale fronts at two different temporal scales-(i) contemporaneous fronts and (ii) seasonally persistent frontal zones. Using generalized additive models (GAMs), with generalized estimating equations (GEE-GAMs) to account for serial autocorrelation in tracking data,we found that gannets do not adjust their behaviour in response to contemporaneous fronts. However, ARS was more likely to occur within spatially predictable, seasonally persistent frontal zones (GAMs). Our results provide proof of concept that composite front mapping is a useful tool for studying the influence of oceanographic features on animalmovements. Moreover, we highlight that frontal persistence is a crucial element of the formation of pelagic foraging hotspots for mobile marine vertebrates.},
 bibtype = {article},
 author = {Scales, Kylie L. and Miller, Peter I. and Embling, Clare B. and Ingram, Simon N. and Pirotta, Enrico and Votier, Stephen C.},
 journal = {Journal of the Royal Society Interface},
 number = {100}
}

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