Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning
Tracking data of marine predators are increasingly used in marine spatial management. We developed a spatial data set with estimates of the monthly distribution of 6 pelagic seabird species breeding in the Northeast Atlantic. The data set was based on year-round global location sensor (GLS) tracking...
Published in: | Marine Ecology Progress Series |
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Inter Research
2021
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Online Access: | https://hdl.handle.net/10037/24109 https://doi.org/10.3354/meps13854 |
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ftunivtroemsoe:oai:munin.uit.no:10037/24109 2023-05-15T17:35:19+02:00 Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning Fauchald, Per Amélineau, Françoise Bråthen, Vegard Sandøy Descamps, Sebastien Ekker, Morten Helgason, Halfdan Helgi Johansen, Malin Merkel, Benjamin Moe, Børge Åström, Jens Bjørnstad, Oskar Chastel, Olivier Christensen-Dalsgaard, Signe Danielsen, Jóhannis Daunt, Francis Dehnhard, Nina Erikstad, Kjell E. Ezhov, Alexey Gavrilo, Maria Hallgrimsson, Gunnar Thor Hansen, Erpur Snær Harris, Mike Helberg, Morten Jónsson, Jón Einar Kolbeinsson, Yann Krasnov, Yuri V. Langset, Magdalene Lorentsen, Svein-Håkon Lorentzen, Erlend Newell, Mark Olsen, Bergur Reiertsen, Tone Kristin Systad, Geir Helge Rødli Thompson, Paul Thórarinsson, Thorkell Lindberg Wanless, Sarah Wojczulanis-Jakubas, Katarzyna Strøm, Hallvard 2021 https://hdl.handle.net/10037/24109 https://doi.org/10.3354/meps13854 eng eng Inter Research Marine Ecology Progress Series FRIDAID 2003939 doi:10.3354/meps13854 0171-8630 1616-1599 https://hdl.handle.net/10037/24109 openAccess Copyright 2021 The Author(s) VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480 VDP::Mathematics and natural scienses: 400::Zoology and botany: 480 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2021 ftunivtroemsoe https://doi.org/10.3354/meps13854 2022-02-23T23:58:01Z Tracking data of marine predators are increasingly used in marine spatial management. We developed a spatial data set with estimates of the monthly distribution of 6 pelagic seabird species breeding in the Northeast Atlantic. The data set was based on year-round global location sensor (GLS) tracking data of 2356 adult seabirds from 2006−2019 from a network of seabird colonies, data describing the physical environment and data on seabird population sizes. Tracking and environmental data were combined in monthly species distribution models (SDMs). Crossvalidations were used to assess the transferability of models between years and breeding locations. The analyses showed that birds from colonies close to each other (<500 km apart) used the same nonbreeding habitats, while birds from distant colonies (>1000 km) used colony-specific and, in many cases, non-overlapping habitats. Based on these results, the SDM from the nearest model colony was used to predict the distribution of all seabird colonies lying within a speciesspecific cut-off distance (400−500 km). Uncertainties in the predictions were estimated by cluster bootstrap sampling. The resulting data set consisted of 4692 map layers, each layer predicting the densities of birds from a given species, colony and month across the North Atlantic. This data set represents the annual distribution of 23.5 million adult pelagic seabirds, or 87% of the Northeast Atlantic breeding population of the study species. We show how the data set can be used in population and spatial management applications, including the detection of population-specific nonbreeding habitats and identifying populations influenced by marine protected areas. Article in Journal/Newspaper North Atlantic Northeast Atlantic University of Tromsø: Munin Open Research Archive Marine Ecology Progress Series 676 255 276 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480 VDP::Mathematics and natural scienses: 400::Zoology and botany: 480 |
spellingShingle |
VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480 VDP::Mathematics and natural scienses: 400::Zoology and botany: 480 Fauchald, Per Amélineau, Françoise Bråthen, Vegard Sandøy Descamps, Sebastien Ekker, Morten Helgason, Halfdan Helgi Johansen, Malin Merkel, Benjamin Moe, Børge Åström, Jens Bjørnstad, Oskar Chastel, Olivier Christensen-Dalsgaard, Signe Danielsen, Jóhannis Daunt, Francis Dehnhard, Nina Erikstad, Kjell E. Ezhov, Alexey Gavrilo, Maria Hallgrimsson, Gunnar Thor Hansen, Erpur Snær Harris, Mike Helberg, Morten Jónsson, Jón Einar Kolbeinsson, Yann Krasnov, Yuri V. Langset, Magdalene Lorentsen, Svein-Håkon Lorentzen, Erlend Newell, Mark Olsen, Bergur Reiertsen, Tone Kristin Systad, Geir Helge Rødli Thompson, Paul Thórarinsson, Thorkell Lindberg Wanless, Sarah Wojczulanis-Jakubas, Katarzyna Strøm, Hallvard Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning |
topic_facet |
VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480 VDP::Mathematics and natural scienses: 400::Zoology and botany: 480 |
description |
Tracking data of marine predators are increasingly used in marine spatial management. We developed a spatial data set with estimates of the monthly distribution of 6 pelagic seabird species breeding in the Northeast Atlantic. The data set was based on year-round global location sensor (GLS) tracking data of 2356 adult seabirds from 2006−2019 from a network of seabird colonies, data describing the physical environment and data on seabird population sizes. Tracking and environmental data were combined in monthly species distribution models (SDMs). Crossvalidations were used to assess the transferability of models between years and breeding locations. The analyses showed that birds from colonies close to each other (<500 km apart) used the same nonbreeding habitats, while birds from distant colonies (>1000 km) used colony-specific and, in many cases, non-overlapping habitats. Based on these results, the SDM from the nearest model colony was used to predict the distribution of all seabird colonies lying within a speciesspecific cut-off distance (400−500 km). Uncertainties in the predictions were estimated by cluster bootstrap sampling. The resulting data set consisted of 4692 map layers, each layer predicting the densities of birds from a given species, colony and month across the North Atlantic. This data set represents the annual distribution of 23.5 million adult pelagic seabirds, or 87% of the Northeast Atlantic breeding population of the study species. We show how the data set can be used in population and spatial management applications, including the detection of population-specific nonbreeding habitats and identifying populations influenced by marine protected areas. |
format |
Article in Journal/Newspaper |
author |
Fauchald, Per Amélineau, Françoise Bråthen, Vegard Sandøy Descamps, Sebastien Ekker, Morten Helgason, Halfdan Helgi Johansen, Malin Merkel, Benjamin Moe, Børge Åström, Jens Bjørnstad, Oskar Chastel, Olivier Christensen-Dalsgaard, Signe Danielsen, Jóhannis Daunt, Francis Dehnhard, Nina Erikstad, Kjell E. Ezhov, Alexey Gavrilo, Maria Hallgrimsson, Gunnar Thor Hansen, Erpur Snær Harris, Mike Helberg, Morten Jónsson, Jón Einar Kolbeinsson, Yann Krasnov, Yuri V. Langset, Magdalene Lorentsen, Svein-Håkon Lorentzen, Erlend Newell, Mark Olsen, Bergur Reiertsen, Tone Kristin Systad, Geir Helge Rødli Thompson, Paul Thórarinsson, Thorkell Lindberg Wanless, Sarah Wojczulanis-Jakubas, Katarzyna Strøm, Hallvard |
author_facet |
Fauchald, Per Amélineau, Françoise Bråthen, Vegard Sandøy Descamps, Sebastien Ekker, Morten Helgason, Halfdan Helgi Johansen, Malin Merkel, Benjamin Moe, Børge Åström, Jens Bjørnstad, Oskar Chastel, Olivier Christensen-Dalsgaard, Signe Danielsen, Jóhannis Daunt, Francis Dehnhard, Nina Erikstad, Kjell E. Ezhov, Alexey Gavrilo, Maria Hallgrimsson, Gunnar Thor Hansen, Erpur Snær Harris, Mike Helberg, Morten Jónsson, Jón Einar Kolbeinsson, Yann Krasnov, Yuri V. Langset, Magdalene Lorentsen, Svein-Håkon Lorentzen, Erlend Newell, Mark Olsen, Bergur Reiertsen, Tone Kristin Systad, Geir Helge Rødli Thompson, Paul Thórarinsson, Thorkell Lindberg Wanless, Sarah Wojczulanis-Jakubas, Katarzyna Strøm, Hallvard |
author_sort |
Fauchald, Per |
title |
Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning |
title_short |
Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning |
title_full |
Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning |
title_fullStr |
Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning |
title_full_unstemmed |
Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning |
title_sort |
year-round distribution of northeast atlantic seabird populations: applications for population management and marine spatial planning |
publisher |
Inter Research |
publishDate |
2021 |
url |
https://hdl.handle.net/10037/24109 https://doi.org/10.3354/meps13854 |
genre |
North Atlantic Northeast Atlantic |
genre_facet |
North Atlantic Northeast Atlantic |
op_relation |
Marine Ecology Progress Series FRIDAID 2003939 doi:10.3354/meps13854 0171-8630 1616-1599 https://hdl.handle.net/10037/24109 |
op_rights |
openAccess Copyright 2021 The Author(s) |
op_doi |
https://doi.org/10.3354/meps13854 |
container_title |
Marine Ecology Progress Series |
container_volume |
676 |
container_start_page |
255 |
op_container_end_page |
276 |
_version_ |
1766134442641850368 |