Habitat selection and foraging ecology of seabirds in the Gulf of St. Lawrence
The study focuses on at-sea distribution, habitat selection and foraging ecology of seabirds in a seabird hotspot, the Gulf of St. Lawrence. Analyses are based on standardized ship-based surveys with oceanographic sampling, and equipment of breeding birds with data loggers. The Northern Gannet as fo...
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2013
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ftunivkiel:oai:macau.uni-kiel.de:diss_mods_00012079 2024-06-23T07:55:40+00:00 Habitat selection and foraging ecology of seabirds in the Gulf of St. Lawrence Guse, Nils Garthe, Stefan Bork, Hans-Rudolf 2013 https://nbn-resolving.org/urn:nbn:de:gbv:8-diss-120790 https://macau.uni-kiel.de/receive/diss_mods_00012079 https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/dissertation_derivate_00004838/diss_guse_seabirds_gulf_st_lawrence.pdf eng eng https://nbn-resolving.org/urn:nbn:de:gbv:8-diss-120790 https://macau.uni-kiel.de/receive/diss_mods_00012079 https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/dissertation_derivate_00004838/diss_guse_seabirds_gulf_st_lawrence.pdf https://rightsstatements.org/page/InC/1.0/ info:eu-repo/semantics/openAccess thesis ddc:590 seabird habitat selection Gulf of St. Lawrence foraging ecology Northern Gannet cetacean multi-species feeding association distribution water mass primary productivity at-sea number diving data logger Atlantic Mackerel spatial constraint Northwest Atlantic hotspot dissertation Text doc-type:PhDThesis 2013 ftunivkiel 2024-06-12T14:20:04Z The study focuses on at-sea distribution, habitat selection and foraging ecology of seabirds in a seabird hotspot, the Gulf of St. Lawrence. Analyses are based on standardized ship-based surveys with oceanographic sampling, and equipment of breeding birds with data loggers. The Northern Gannet as focal species was most abundant. At-sea totals for the Southern Gulf proved regional and international importance for several species. New insights into links between seabirds and at-sea habitats were gained using generalized additive models (GAMs). Colony location as spatial constraint showed strong influence on breeding species. Water mass indicators were important predictors of seabird distribution. Northern Gannets were highly associated with cetaceans which had a strong influence on foraging behavior and general distribution of Gannets. Breeding Gannets from Bonaventure feeding on Atlantic Mackerel showed short, high speed and shallow V-shaped dives in response to this type of prey. Doctoral or Postdoctoral Thesis Northwest Atlantic MACAU: Open Access Repository of Kiel University |
institution |
Open Polar |
collection |
MACAU: Open Access Repository of Kiel University |
op_collection_id |
ftunivkiel |
language |
English |
topic |
thesis ddc:590 seabird habitat selection Gulf of St. Lawrence foraging ecology Northern Gannet cetacean multi-species feeding association distribution water mass primary productivity at-sea number diving data logger Atlantic Mackerel spatial constraint Northwest Atlantic hotspot |
spellingShingle |
thesis ddc:590 seabird habitat selection Gulf of St. Lawrence foraging ecology Northern Gannet cetacean multi-species feeding association distribution water mass primary productivity at-sea number diving data logger Atlantic Mackerel spatial constraint Northwest Atlantic hotspot Guse, Nils Habitat selection and foraging ecology of seabirds in the Gulf of St. Lawrence |
topic_facet |
thesis ddc:590 seabird habitat selection Gulf of St. Lawrence foraging ecology Northern Gannet cetacean multi-species feeding association distribution water mass primary productivity at-sea number diving data logger Atlantic Mackerel spatial constraint Northwest Atlantic hotspot |
description |
The study focuses on at-sea distribution, habitat selection and foraging ecology of seabirds in a seabird hotspot, the Gulf of St. Lawrence. Analyses are based on standardized ship-based surveys with oceanographic sampling, and equipment of breeding birds with data loggers. The Northern Gannet as focal species was most abundant. At-sea totals for the Southern Gulf proved regional and international importance for several species. New insights into links between seabirds and at-sea habitats were gained using generalized additive models (GAMs). Colony location as spatial constraint showed strong influence on breeding species. Water mass indicators were important predictors of seabird distribution. Northern Gannets were highly associated with cetaceans which had a strong influence on foraging behavior and general distribution of Gannets. Breeding Gannets from Bonaventure feeding on Atlantic Mackerel showed short, high speed and shallow V-shaped dives in response to this type of prey. |
author2 |
Garthe, Stefan Bork, Hans-Rudolf |
format |
Doctoral or Postdoctoral Thesis |
author |
Guse, Nils |
author_facet |
Guse, Nils |
author_sort |
Guse, Nils |
title |
Habitat selection and foraging ecology of seabirds in the Gulf of St. Lawrence |
title_short |
Habitat selection and foraging ecology of seabirds in the Gulf of St. Lawrence |
title_full |
Habitat selection and foraging ecology of seabirds in the Gulf of St. Lawrence |
title_fullStr |
Habitat selection and foraging ecology of seabirds in the Gulf of St. Lawrence |
title_full_unstemmed |
Habitat selection and foraging ecology of seabirds in the Gulf of St. Lawrence |
title_sort |
habitat selection and foraging ecology of seabirds in the gulf of st. lawrence |
publishDate |
2013 |
url |
https://nbn-resolving.org/urn:nbn:de:gbv:8-diss-120790 https://macau.uni-kiel.de/receive/diss_mods_00012079 https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/dissertation_derivate_00004838/diss_guse_seabirds_gulf_st_lawrence.pdf |
genre |
Northwest Atlantic |
genre_facet |
Northwest Atlantic |
op_relation |
https://nbn-resolving.org/urn:nbn:de:gbv:8-diss-120790 https://macau.uni-kiel.de/receive/diss_mods_00012079 https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/dissertation_derivate_00004838/diss_guse_seabirds_gulf_st_lawrence.pdf |
op_rights |
https://rightsstatements.org/page/InC/1.0/ info:eu-repo/semantics/openAccess |
_version_ |
1802648340369768448 |