High-resolution modelling of uplift landscapes can inform micro-siting of wind turbines for soaring raptors

Collision risk of soaring birds is partly associated with updrafts to which they are attracted. To identify risk-enhancing landscape features, a micro-siting tool was developed to model orographic and thermal updraft velocities from high-resolution remote sensing data. The tool was applied to the is...

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Main Authors: Hanssen, Frank, May, Roel, Nygård, Torgeir
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.5061/dryad.ghx3ffbjn
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spelling ftzenodo:oai:zenodo.org:5138789 2024-09-15T18:10:35+00:00 High-resolution modelling of uplift landscapes can inform micro-siting of wind turbines for soaring raptors Hanssen, Frank May, Roel Nygård, Torgeir 2021-07-26 https://doi.org/10.5061/dryad.ghx3ffbjn unknown Zenodo https://doi.org/10.1007/s00267-020-01318-0 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.ghx3ffbjn oai:zenodo.org:5138789 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5061/dryad.ghx3ffbjn10.1007/s00267-020-01318-0 2024-07-27T02:25:07Z Collision risk of soaring birds is partly associated with updrafts to which they are attracted. To identify risk-enhancing landscape features, a micro-siting tool was developed to model orographic and thermal updraft velocities from high-resolution remote sensing data. The tool was applied to the island of Hitra, and validated using GPS-tracked white-tailed eagles ( Haliaeetus albicilla ). Resource selection functions predicted that eagles preferred ridges with high orographic uplift, especially at flight altitudes within the rotor-swept zone (40-110 m). Flight activity was negatively associated with the widely distributed areas with high thermal uplift at lower flight altitudes (<110 m). Both the existing wind-power plant and planned extension are placed at locations rendering maximum orographic updraft velocities around the minimum sink rate for white-tailed eagles (0.75 m/s) but slightly higher thermal updraft velocities. The tool can contribute to improved micro-siting of wind turbines to reduce environmental impacts, especially for soaring raptors. Funding provided by: Research Council of Norway Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100005416 Award Number: 226241 Other/Unknown Material Haliaeetus albicilla Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description Collision risk of soaring birds is partly associated with updrafts to which they are attracted. To identify risk-enhancing landscape features, a micro-siting tool was developed to model orographic and thermal updraft velocities from high-resolution remote sensing data. The tool was applied to the island of Hitra, and validated using GPS-tracked white-tailed eagles ( Haliaeetus albicilla ). Resource selection functions predicted that eagles preferred ridges with high orographic uplift, especially at flight altitudes within the rotor-swept zone (40-110 m). Flight activity was negatively associated with the widely distributed areas with high thermal uplift at lower flight altitudes (<110 m). Both the existing wind-power plant and planned extension are placed at locations rendering maximum orographic updraft velocities around the minimum sink rate for white-tailed eagles (0.75 m/s) but slightly higher thermal updraft velocities. The tool can contribute to improved micro-siting of wind turbines to reduce environmental impacts, especially for soaring raptors. Funding provided by: Research Council of Norway Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100005416 Award Number: 226241
format Other/Unknown Material
author Hanssen, Frank
May, Roel
Nygård, Torgeir
spellingShingle Hanssen, Frank
May, Roel
Nygård, Torgeir
High-resolution modelling of uplift landscapes can inform micro-siting of wind turbines for soaring raptors
author_facet Hanssen, Frank
May, Roel
Nygård, Torgeir
author_sort Hanssen, Frank
title High-resolution modelling of uplift landscapes can inform micro-siting of wind turbines for soaring raptors
title_short High-resolution modelling of uplift landscapes can inform micro-siting of wind turbines for soaring raptors
title_full High-resolution modelling of uplift landscapes can inform micro-siting of wind turbines for soaring raptors
title_fullStr High-resolution modelling of uplift landscapes can inform micro-siting of wind turbines for soaring raptors
title_full_unstemmed High-resolution modelling of uplift landscapes can inform micro-siting of wind turbines for soaring raptors
title_sort high-resolution modelling of uplift landscapes can inform micro-siting of wind turbines for soaring raptors
publisher Zenodo
publishDate 2021
url https://doi.org/10.5061/dryad.ghx3ffbjn
genre Haliaeetus albicilla
genre_facet Haliaeetus albicilla
op_relation https://doi.org/10.1007/s00267-020-01318-0
https://zenodo.org/communities/dryad
https://doi.org/10.5061/dryad.ghx3ffbjn
oai:zenodo.org:5138789
op_rights info:eu-repo/semantics/openAccess
Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.ghx3ffbjn10.1007/s00267-020-01318-0
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