The DOI matches its Crossref record.
Avian collision risk at an offshore wind farm
Open accessAbstract
We have been the first to investigate whether long-lived geese and ducks can detect and avoid a large offshore wind farm by tracking their diurnal migration patterns with radar. We found that the percentage of flocks entering the wind farm area decreased significantly (by a factor 4.5) from pre-construction to initial operation. At night, migrating flocks were more prone to enter the wind farm but counteracted the higher risk of collision in the dark by increasing their distance from individual turbines and flying in the corridors between turbines. Overall, less than 1% of the ducks and geese migrated close enough to the turbines to be at any risk of collision.
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Cited by
Large-Scale Offshore Wind Power in the United States: Assessment of Opportunities and Barriers
Musial, W., & Ram, B. (2010) · doi:10.2172/990101 · Cited by 276
Migratory marine species: their status, threats and conservation management needs
Lascelles, B., Notarbartolo Di Sciara, G., Agardy, T., Cuttelod, A., Eckert, S., Glowka, L., Hoyt, E., Llewellyn, F., Louzao, M., Ridoux, V., et al. (2014) · Aquatic Conservation: Marine and Freshwater Ecosystems · doi:10.1002/aqc.2512 · Cited by 221
Metadata
- Authors
- Desholm, M., & Kahlert, J.
- Venue
- Biology Letters
- Publisher
- The Royal Society
- Published
- 2005-06-09
- Volume
- 1
- Issue
- 3
- Pages
- 296-298
- ISSN
- 1744-9561 (ISSN-L)
- 1744-957X
- OpenAlex
- W2109940904
- Cited by
- 273
- References
- 0
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- green
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- Desholm, M., & Kahlert, J. (2005). Avian collision risk at an offshore wind farm. Biology Letters. https://doi.org/10.1098/rsbl.2005.0336
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
