dc.contributor.author | Hanssen, Frank Ole | |
dc.contributor.author | May, Roelof Frans | |
dc.contributor.author | Nygård, Torgeir | |
dc.coverage.spatial | Hitra, Trøndelag, Norge, Noreg, Norway | en_US |
dc.date.accessioned | 2020-06-25T11:19:54Z | |
dc.date.available | 2020-06-25T11:19:54Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 0364-152X | |
dc.identifier.uri | https://hdl.handle.net/11250/2659522 | |
dc.description.abstract | Collision risk of soaring birds is partly associated with updrafts to which they are attracted. To ident ify the risk-enhancinglandscape 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-tailedeagles (Haliaeetus albicilla). Resource selection functions predicted that eagles preferred ridges with high orographic uplift,especially at flight altitud es within the rotor-swept zone (40–110 m). Flight activity was negatively associated with thewidely distributed areas with high thermal upli ft at lower flight altitudes (<110 m). Both the existing wind-power plant andplanned extension are placed at locations rendering maximum orographic updraft velocities around the minimum sink ratefor white-tailed eagles (0.75 m/s) but slightly higher therm al updraft velocities. The tool can contribute to improvemicrositing of wi nd turbines to reduce the environmental impacts, especially for soaring Raptors. | en_US |
dc.language.iso | eng | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.subject | White-tailed eagle | en_US |
dc.subject | Norway | en_US |
dc.subject | Thermal and orographic updraf | en_US |
dc.subject | GIS | en_US |
dc.subject | Remote sensing | en_US |
dc.title | High-resolution modeling of uplift landscapes can inform micrositing of wind turbines for soaring raptors | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © The Author(s) 2020 | en_US |
dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Geofag: 450 | en_US |
dc.source.journal | Environmental Management | en_US |
dc.identifier.doi | 10.1007/s00267-020-01318-0 | |
dc.identifier.cristin | 1817126 | |