Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning
International audience Abstract: Tracking data of marine predators are increasingly used in marine spatial management. We developed a spatial dataset with estimates of the monthly distribution of six pelagic seabird species breeding in the Northeast Atlantic. The dataset is based on year-round globa...
Published in: | Marine Ecology Progress Series |
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Online Access: | https://hal.science/hal-03349343 https://doi.org/10.3354/meps13854 |
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ftunivnantes:oai:HAL:hal-03349343v1 2023-05-15T13:16:23+02:00 Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning Fauchald, P Tarroux, A Amélineau, F Bråthen, Vs Descamps, S Ekker, M Helgason, Hh Johansen, Mk Merkel, B Moe, B Åström, J Anker-Nilssen, T Bjørnstad, O Chastel, Olivier Christensen-Dalsgaard, S Danielsen, J Daunt, F Dehnhard, N Erikstad, Ke Ezhov, A Gavrilo, M Hallgrimsson, Gt Hansen, Es Harris, M Helberg, M Jónsson, Je Kolbeinsson, Y Krasnov, Y Langset, M Lorentsen, Sh Lorentzen, E Newell, M Olsen, B Reiertsen, Tk Systad, Gh Thompson, P Thórarinsson, Tl Wanless, S Wojczulanis-Jakubas, K Strøm, H Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) 2021 https://hal.science/hal-03349343 https://doi.org/10.3354/meps13854 en eng HAL CCSD Inter Research info:eu-repo/semantics/altIdentifier/doi/10.3354/meps13854 hal-03349343 https://hal.science/hal-03349343 doi:10.3354/meps13854 ISSN: 0171-8630 EISSN: 1616-1599 Marine Ecology Progress Series https://hal.science/hal-03349343 Marine Ecology Progress Series, 2021, 676, pp.255-276. ⟨10.3354/meps13854⟩ Fulmarus glacialis Rissa tridactyla Uria aalge Uria lomvia Alle alle Fratercula arctica Marine spatial planning SEATRACK [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2021 ftunivnantes https://doi.org/10.3354/meps13854 2023-03-08T02:44:39Z International audience Abstract: Tracking data of marine predators are increasingly used in marine spatial management. We developed a spatial dataset with estimates of the monthly distribution of six pelagic seabird species breeding in the Northeast Atlantic. The dataset is 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). Cross-validations 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 species-specific cut-off distance (400-500 km). The uncertainties in predictions were estimated by cluster bootstrap sampling. The resulting dataset consists of 4692 map layers, each layer predicting the densities of birds from a given species, colony and month across the North Atlantic. The dataset 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 dataset 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 Alle alle fratercula Fratercula arctica Fulmarus glacialis North Atlantic Northeast Atlantic rissa tridactyla Uria aalge Uria lomvia uria Université de Nantes: HAL-UNIV-NANTES Marine Ecology Progress Series 676 255 276 |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
Fulmarus glacialis Rissa tridactyla Uria aalge Uria lomvia Alle alle Fratercula arctica Marine spatial planning SEATRACK [SDE]Environmental Sciences |
spellingShingle |
Fulmarus glacialis Rissa tridactyla Uria aalge Uria lomvia Alle alle Fratercula arctica Marine spatial planning SEATRACK [SDE]Environmental Sciences Fauchald, P Tarroux, A Amélineau, F Bråthen, Vs Descamps, S Ekker, M Helgason, Hh Johansen, Mk Merkel, B Moe, B Åström, J Anker-Nilssen, T Bjørnstad, O Chastel, Olivier Christensen-Dalsgaard, S Danielsen, J Daunt, F Dehnhard, N Erikstad, Ke Ezhov, A Gavrilo, M Hallgrimsson, Gt Hansen, Es Harris, M Helberg, M Jónsson, Je Kolbeinsson, Y Krasnov, Y Langset, M Lorentsen, Sh Lorentzen, E Newell, M Olsen, B Reiertsen, Tk Systad, Gh Thompson, P Thórarinsson, Tl Wanless, S Wojczulanis-Jakubas, K Strøm, H Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning |
topic_facet |
Fulmarus glacialis Rissa tridactyla Uria aalge Uria lomvia Alle alle Fratercula arctica Marine spatial planning SEATRACK [SDE]Environmental Sciences |
description |
International audience Abstract: Tracking data of marine predators are increasingly used in marine spatial management. We developed a spatial dataset with estimates of the monthly distribution of six pelagic seabird species breeding in the Northeast Atlantic. The dataset is 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). Cross-validations 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 species-specific cut-off distance (400-500 km). The uncertainties in predictions were estimated by cluster bootstrap sampling. The resulting dataset consists of 4692 map layers, each layer predicting the densities of birds from a given species, colony and month across the North Atlantic. The dataset 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 dataset 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. |
author2 |
Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
format |
Article in Journal/Newspaper |
author |
Fauchald, P Tarroux, A Amélineau, F Bråthen, Vs Descamps, S Ekker, M Helgason, Hh Johansen, Mk Merkel, B Moe, B Åström, J Anker-Nilssen, T Bjørnstad, O Chastel, Olivier Christensen-Dalsgaard, S Danielsen, J Daunt, F Dehnhard, N Erikstad, Ke Ezhov, A Gavrilo, M Hallgrimsson, Gt Hansen, Es Harris, M Helberg, M Jónsson, Je Kolbeinsson, Y Krasnov, Y Langset, M Lorentsen, Sh Lorentzen, E Newell, M Olsen, B Reiertsen, Tk Systad, Gh Thompson, P Thórarinsson, Tl Wanless, S Wojczulanis-Jakubas, K Strøm, H |
author_facet |
Fauchald, P Tarroux, A Amélineau, F Bråthen, Vs Descamps, S Ekker, M Helgason, Hh Johansen, Mk Merkel, B Moe, B Åström, J Anker-Nilssen, T Bjørnstad, O Chastel, Olivier Christensen-Dalsgaard, S Danielsen, J Daunt, F Dehnhard, N Erikstad, Ke Ezhov, A Gavrilo, M Hallgrimsson, Gt Hansen, Es Harris, M Helberg, M Jónsson, Je Kolbeinsson, Y Krasnov, Y Langset, M Lorentsen, Sh Lorentzen, E Newell, M Olsen, B Reiertsen, Tk Systad, Gh Thompson, P Thórarinsson, Tl Wanless, S Wojczulanis-Jakubas, K Strøm, H |
author_sort |
Fauchald, P |
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 |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-03349343 https://doi.org/10.3354/meps13854 |
genre |
Alle alle fratercula Fratercula arctica Fulmarus glacialis North Atlantic Northeast Atlantic rissa tridactyla Uria aalge Uria lomvia uria |
genre_facet |
Alle alle fratercula Fratercula arctica Fulmarus glacialis North Atlantic Northeast Atlantic rissa tridactyla Uria aalge Uria lomvia uria |
op_source |
ISSN: 0171-8630 EISSN: 1616-1599 Marine Ecology Progress Series https://hal.science/hal-03349343 Marine Ecology Progress Series, 2021, 676, pp.255-276. ⟨10.3354/meps13854⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3354/meps13854 hal-03349343 https://hal.science/hal-03349343 doi:10.3354/meps13854 |
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 |
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1766273739856543744 |