Mapping seabird vulnerability to offshore wind farms in Norwegian waters

Introduction: Offshore wind energy development (OWED) has been identified as a major contributor to the aspired growth in Norwegian renewable energy production. Spatially explicit vulnerability assessments are necessary to select sites that minimize the harm to biodiversity, including seabird popula...

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Published in:Frontiers in Marine Science
Main Authors: Fauchald, Per, Ollus, Victoria Marja Sofia, Ballesteros, Manuel, Breistøl, Arild, Christensen-Dalsgaard, Signe, Molværsmyr, Sindre, Tarroux, Arnaud, Systad, Geir Helge Rødli, Moe, Børge
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media 2024
Subjects:
Online Access:https://hdl.handle.net/10037/33244
https://doi.org/10.3389/fmars.2024.1335224
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author Fauchald, Per
Ollus, Victoria Marja Sofia
Ballesteros, Manuel
Breistøl, Arild
Christensen-Dalsgaard, Signe
Molværsmyr, Sindre
Tarroux, Arnaud
Systad, Geir Helge Rødli
Moe, Børge
author_facet Fauchald, Per
Ollus, Victoria Marja Sofia
Ballesteros, Manuel
Breistøl, Arild
Christensen-Dalsgaard, Signe
Molværsmyr, Sindre
Tarroux, Arnaud
Systad, Geir Helge Rødli
Moe, Børge
author_sort Fauchald, Per
collection University of Tromsø: Munin Open Research Archive
container_title Frontiers in Marine Science
container_volume 11
description Introduction: Offshore wind energy development (OWED) has been identified as a major contributor to the aspired growth in Norwegian renewable energy production. Spatially explicit vulnerability assessments are necessary to select sites that minimize the harm to biodiversity, including seabird populations. Distributional data of seabirds in remote areas are scarce, and to identify vulnerable areas, species, and seasons it is necessary to combine data sets and knowledge from different sources. Methods: In this study, we combined seabird tracking data, data from dedicated coastal and seabird at-sea surveys, and presence-only data from citizen science databases to develop habitat suitability maps for 55 seabird species in four seasons throughout the Norwegian exclusive economic zone; in total 1 million km2 in the Northeast Atlantic. The habitat suitability maps were combined with species-specific vulnerability indicators to yield maps of seabird vulnerability to offshore wind farms (OWFs). The resulting map product can be used to identify the relative vulnerability of areas prospected for OWED with respect to seabird collision and habitat displacement. More detailed assessments can be done by splitting the spatial indicators into seasonal and species-specific components. Results and discussion: Associated with higher diversity of seabirds near the coast, the cumulative vulnerability indicator showed a strong declining gradient from the coast to offshore waters while the differences in vulnerability between ocean areas and seasons were negligible. Although the present map product represents the best currently available knowledge, the indicators are associated with complex uncertainties related to known and unknown sampling biases. The indicators should therefore be used cautiously, they should be updated regularly as more data become available, and we recommend that more detailed environmental impact assessments based on dedicated seabird surveys, tracking of birds from potentially affected populations and population ...
format Article in Journal/Newspaper
genre Northeast Atlantic
genre_facet Northeast Atlantic
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institution Open Polar
language English
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op_doi https://doi.org/10.3389/fmars.2024.1335224
op_relation Frontiers in Marine Science
FRIDAID 2254196
doi:10.3389/fmars.2024.1335224
https://hdl.handle.net/10037/33244
op_rights Attribution 4.0 International (CC BY 4.0)
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/33244 2025-04-13T14:24:22+00:00 Mapping seabird vulnerability to offshore wind farms in Norwegian waters Fauchald, Per Ollus, Victoria Marja Sofia Ballesteros, Manuel Breistøl, Arild Christensen-Dalsgaard, Signe Molværsmyr, Sindre Tarroux, Arnaud Systad, Geir Helge Rødli Moe, Børge 2024-03-13 https://hdl.handle.net/10037/33244 https://doi.org/10.3389/fmars.2024.1335224 eng eng Frontiers Media Frontiers in Marine Science FRIDAID 2254196 doi:10.3389/fmars.2024.1335224 https://hdl.handle.net/10037/33244 Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2024 The Author(s) https://creativecommons.org/licenses/by/4.0 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 2024 ftunivtroemsoe https://doi.org/10.3389/fmars.2024.1335224 2025-03-14T05:17:57Z Introduction: Offshore wind energy development (OWED) has been identified as a major contributor to the aspired growth in Norwegian renewable energy production. Spatially explicit vulnerability assessments are necessary to select sites that minimize the harm to biodiversity, including seabird populations. Distributional data of seabirds in remote areas are scarce, and to identify vulnerable areas, species, and seasons it is necessary to combine data sets and knowledge from different sources. Methods: In this study, we combined seabird tracking data, data from dedicated coastal and seabird at-sea surveys, and presence-only data from citizen science databases to develop habitat suitability maps for 55 seabird species in four seasons throughout the Norwegian exclusive economic zone; in total 1 million km2 in the Northeast Atlantic. The habitat suitability maps were combined with species-specific vulnerability indicators to yield maps of seabird vulnerability to offshore wind farms (OWFs). The resulting map product can be used to identify the relative vulnerability of areas prospected for OWED with respect to seabird collision and habitat displacement. More detailed assessments can be done by splitting the spatial indicators into seasonal and species-specific components. Results and discussion: Associated with higher diversity of seabirds near the coast, the cumulative vulnerability indicator showed a strong declining gradient from the coast to offshore waters while the differences in vulnerability between ocean areas and seasons were negligible. Although the present map product represents the best currently available knowledge, the indicators are associated with complex uncertainties related to known and unknown sampling biases. The indicators should therefore be used cautiously, they should be updated regularly as more data become available, and we recommend that more detailed environmental impact assessments based on dedicated seabird surveys, tracking of birds from potentially affected populations and population ... Article in Journal/Newspaper Northeast Atlantic University of Tromsø: Munin Open Research Archive Frontiers in Marine Science 11
spellingShingle VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480
VDP::Mathematics and natural scienses: 400::Zoology and botany: 480
Fauchald, Per
Ollus, Victoria Marja Sofia
Ballesteros, Manuel
Breistøl, Arild
Christensen-Dalsgaard, Signe
Molværsmyr, Sindre
Tarroux, Arnaud
Systad, Geir Helge Rødli
Moe, Børge
Mapping seabird vulnerability to offshore wind farms in Norwegian waters
title Mapping seabird vulnerability to offshore wind farms in Norwegian waters
title_full Mapping seabird vulnerability to offshore wind farms in Norwegian waters
title_fullStr Mapping seabird vulnerability to offshore wind farms in Norwegian waters
title_full_unstemmed Mapping seabird vulnerability to offshore wind farms in Norwegian waters
title_short Mapping seabird vulnerability to offshore wind farms in Norwegian waters
title_sort mapping seabird vulnerability to offshore wind farms in norwegian waters
topic VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480
VDP::Mathematics and natural scienses: 400::Zoology and botany: 480
topic_facet VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480
VDP::Mathematics and natural scienses: 400::Zoology and botany: 480
url https://hdl.handle.net/10037/33244
https://doi.org/10.3389/fmars.2024.1335224