Use of an INLA Latent Gaussian Modeling Approach to Assess Bird Population Changes Due to the Development of Offshore Wind Farms

The utilization of marine renewable energies such as offshore wind farming leads to globally expanding human activities in marine habitats. While knowledge on the responses to offshore wind farms and associated shipping traffic is accumulating now at a fast pace, it becomes important to assess the p...

Full description

Bibliographic Details
Published in:Frontiers in Marine Science
Main Authors: Vilela, Raul, Burger, Claudia, Diederichs, Ansgar, Bachl, Fabian E., Szostek, Lesley, Freund, Anika, Braasch, Alexander, Bellebaum, Jochen, Beckers, Brian, Piper, Werner, Nehls, Georg
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers Media SA 2021
Subjects:
Online Access:http://dx.doi.org/10.3389/fmars.2021.701332
https://www.frontiersin.org/articles/10.3389/fmars.2021.701332/full
id crfrontiers:10.3389/fmars.2021.701332
record_format openpolar
spelling crfrontiers:10.3389/fmars.2021.701332 2024-05-19T07:40:37+00:00 Use of an INLA Latent Gaussian Modeling Approach to Assess Bird Population Changes Due to the Development of Offshore Wind Farms Vilela, Raul Burger, Claudia Diederichs, Ansgar Bachl, Fabian E. Szostek, Lesley Freund, Anika Braasch, Alexander Bellebaum, Jochen Beckers, Brian Piper, Werner Nehls, Georg 2021 http://dx.doi.org/10.3389/fmars.2021.701332 https://www.frontiersin.org/articles/10.3389/fmars.2021.701332/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 8 ISSN 2296-7745 journal-article 2021 crfrontiers https://doi.org/10.3389/fmars.2021.701332 2024-04-24T07:13:01Z The utilization of marine renewable energies such as offshore wind farming leads to globally expanding human activities in marine habitats. While knowledge on the responses to offshore wind farms and associated shipping traffic is accumulating now at a fast pace, it becomes important to assess the population impacts on species affected by those activities. In the North Sea, the protected diver species Red-throated Diver ( Gavia stellata ) and Black-throated Diver ( Gavia arctica ) widely avoid offshore wind farms. We used an explicit spatio-temporal Bayesian model to get a robust estimate of the diver population during the spring season between 2001 and 2018, based on a set of aerial surveys from long-term monitoring programs within the German North Sea. Despite the erection of 20 offshore wind farms in the study area and marked responses of divers to wind farms, model results indicated that there was no population decline, and overall numbers fluctuated around 16,600 individuals, with average annual 95% CI ranging between 13,400 and 21,360 individuals. Although, avoidance behavior due to wind farm development led to a more narrowly focused spatial distribution of the birds centered in the persistent high concentration zone in the Eastern German Bight Special Protection Area, the results provide no indication of negative fitness consequences on these long-lived species. However, more research is needed on habitat use and food availability in this regard. Article in Journal/Newspaper Gavia arctica Frontiers (Publisher) Frontiers in Marine Science 8
institution Open Polar
collection Frontiers (Publisher)
op_collection_id crfrontiers
language unknown
description The utilization of marine renewable energies such as offshore wind farming leads to globally expanding human activities in marine habitats. While knowledge on the responses to offshore wind farms and associated shipping traffic is accumulating now at a fast pace, it becomes important to assess the population impacts on species affected by those activities. In the North Sea, the protected diver species Red-throated Diver ( Gavia stellata ) and Black-throated Diver ( Gavia arctica ) widely avoid offshore wind farms. We used an explicit spatio-temporal Bayesian model to get a robust estimate of the diver population during the spring season between 2001 and 2018, based on a set of aerial surveys from long-term monitoring programs within the German North Sea. Despite the erection of 20 offshore wind farms in the study area and marked responses of divers to wind farms, model results indicated that there was no population decline, and overall numbers fluctuated around 16,600 individuals, with average annual 95% CI ranging between 13,400 and 21,360 individuals. Although, avoidance behavior due to wind farm development led to a more narrowly focused spatial distribution of the birds centered in the persistent high concentration zone in the Eastern German Bight Special Protection Area, the results provide no indication of negative fitness consequences on these long-lived species. However, more research is needed on habitat use and food availability in this regard.
format Article in Journal/Newspaper
author Vilela, Raul
Burger, Claudia
Diederichs, Ansgar
Bachl, Fabian E.
Szostek, Lesley
Freund, Anika
Braasch, Alexander
Bellebaum, Jochen
Beckers, Brian
Piper, Werner
Nehls, Georg
spellingShingle Vilela, Raul
Burger, Claudia
Diederichs, Ansgar
Bachl, Fabian E.
Szostek, Lesley
Freund, Anika
Braasch, Alexander
Bellebaum, Jochen
Beckers, Brian
Piper, Werner
Nehls, Georg
Use of an INLA Latent Gaussian Modeling Approach to Assess Bird Population Changes Due to the Development of Offshore Wind Farms
author_facet Vilela, Raul
Burger, Claudia
Diederichs, Ansgar
Bachl, Fabian E.
Szostek, Lesley
Freund, Anika
Braasch, Alexander
Bellebaum, Jochen
Beckers, Brian
Piper, Werner
Nehls, Georg
author_sort Vilela, Raul
title Use of an INLA Latent Gaussian Modeling Approach to Assess Bird Population Changes Due to the Development of Offshore Wind Farms
title_short Use of an INLA Latent Gaussian Modeling Approach to Assess Bird Population Changes Due to the Development of Offshore Wind Farms
title_full Use of an INLA Latent Gaussian Modeling Approach to Assess Bird Population Changes Due to the Development of Offshore Wind Farms
title_fullStr Use of an INLA Latent Gaussian Modeling Approach to Assess Bird Population Changes Due to the Development of Offshore Wind Farms
title_full_unstemmed Use of an INLA Latent Gaussian Modeling Approach to Assess Bird Population Changes Due to the Development of Offshore Wind Farms
title_sort use of an inla latent gaussian modeling approach to assess bird population changes due to the development of offshore wind farms
publisher Frontiers Media SA
publishDate 2021
url http://dx.doi.org/10.3389/fmars.2021.701332
https://www.frontiersin.org/articles/10.3389/fmars.2021.701332/full
genre Gavia arctica
genre_facet Gavia arctica
op_source Frontiers in Marine Science
volume 8
ISSN 2296-7745
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3389/fmars.2021.701332
container_title Frontiers in Marine Science
container_volume 8
_version_ 1799480209602248704