High-Resolution Modeling of Uplift Landscapes can Inform Micrositing of Wind Turbines for Soaring Raptors

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

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Published in:Environmental Management
Main Authors: Hanssen, Frank, May, Roel, Nygård, Torgeir
Format: Text
Language:English
Published: Springer US 2020
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434798/
http://www.ncbi.nlm.nih.gov/pubmed/32577874
https://doi.org/10.1007/s00267-020-01318-0
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spelling ftpubmed:oai:pubmedcentral.nih.gov:7434798 2023-05-15T16:32:43+02:00 High-Resolution Modeling of Uplift Landscapes can Inform Micrositing of Wind Turbines for Soaring Raptors Hanssen, Frank May, Roel Nygård, Torgeir 2020-06-24 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434798/ http://www.ncbi.nlm.nih.gov/pubmed/32577874 https://doi.org/10.1007/s00267-020-01318-0 en eng Springer US http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434798/ http://www.ncbi.nlm.nih.gov/pubmed/32577874 http://dx.doi.org/10.1007/s00267-020-01318-0 © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. CC-BY Environ Manage Article Text 2020 ftpubmed https://doi.org/10.1007/s00267-020-01318-0 2020-08-30T00:35:39Z Collision risk of soaring birds is partly associated with updrafts to which they are attracted. To identify the risk-enhancing landscape features, a micrositing 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 improve micrositing of wind turbines to reduce the environmental impacts, especially for soaring raptors. Text Haliaeetus albicilla PubMed Central (PMC) Hitra ENVELOPE(8.756,8.756,63.544,63.544) Environmental Management 66 3 319 332
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
spellingShingle Article
Hanssen, Frank
May, Roel
Nygård, Torgeir
High-Resolution Modeling of Uplift Landscapes can Inform Micrositing of Wind Turbines for Soaring Raptors
topic_facet Article
description Collision risk of soaring birds is partly associated with updrafts to which they are attracted. To identify the risk-enhancing landscape features, a micrositing 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 improve micrositing of wind turbines to reduce the environmental impacts, especially for soaring raptors.
format Text
author Hanssen, Frank
May, Roel
Nygård, Torgeir
author_facet Hanssen, Frank
May, Roel
Nygård, Torgeir
author_sort Hanssen, Frank
title High-Resolution Modeling of Uplift Landscapes can Inform Micrositing of Wind Turbines for Soaring Raptors
title_short High-Resolution Modeling of Uplift Landscapes can Inform Micrositing of Wind Turbines for Soaring Raptors
title_full High-Resolution Modeling of Uplift Landscapes can Inform Micrositing of Wind Turbines for Soaring Raptors
title_fullStr High-Resolution Modeling of Uplift Landscapes can Inform Micrositing of Wind Turbines for Soaring Raptors
title_full_unstemmed High-Resolution Modeling of Uplift Landscapes can Inform Micrositing of Wind Turbines for Soaring Raptors
title_sort high-resolution modeling of uplift landscapes can inform micrositing of wind turbines for soaring raptors
publisher Springer US
publishDate 2020
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434798/
http://www.ncbi.nlm.nih.gov/pubmed/32577874
https://doi.org/10.1007/s00267-020-01318-0
long_lat ENVELOPE(8.756,8.756,63.544,63.544)
geographic Hitra
geographic_facet Hitra
genre Haliaeetus albicilla
genre_facet Haliaeetus albicilla
op_source Environ Manage
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434798/
http://www.ncbi.nlm.nih.gov/pubmed/32577874
http://dx.doi.org/10.1007/s00267-020-01318-0
op_rights © The Author(s) 2020
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1007/s00267-020-01318-0
container_title Environmental Management
container_volume 66
container_issue 3
container_start_page 319
op_container_end_page 332
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