Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning
Permanent lenke
https://hdl.handle.net/10037/24109Dato
2021Type
Journal articleTidsskriftartikkel
Peer reviewed
Forfatter
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, HallvardSammendrag
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.
Forlag
Inter ResearchSitering
Fauchald P, Tarroux A, Amélineau F, Bråthen VS, Descamps S, Ekker M, Helgason HH, Johansen M, Merkel B, Moe B, Åström J, Anker-Nilssen T, Bjørnstad O, Chastel O, 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 YV, Langset M, Lorentsen S.-H., Lorentzen E, Newell M, Olsen B, Reiertsen TK, Systad GHR, 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. Marine Ecology Progress Series. 2021;676:255-276Metadata
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