Low migratory flight altitudes may explain increased collision risk for <i>Scolopax minor</i> (American Woodcock)

Abstract Understanding bird migration at low altitudes is critical to evaluating risk of collision with obstacles. Recent advances in satellite tracking technologies allow quantifying use of low altitudes by small migrating birds with a high level of precision, allowing species-level inference into potential collision risk based on flight altitude. Scolopax minor (American Woodcock) is suspected to be a low-altitude migrant due to its frequent collisions with buildings, and subsequent mortality during migration may be contributing to population declines. We investigated migratory flight altitudes using satellite transmitters deployed on woodcock in 2020–2024 and examined how flight altitudes compare to the heights of common airspace obstacles. Each transmitter recorded a nocturnal GPS location with an altitude reading every 1–3 days during fall and spring migrations. We implemented a Bayesian hierarchical mixture model to identify whether locations were recorded on the ground or during flight, isolate measurement error, and describe the distribution of flight altitudes. We found that migrating woodcock fly at mean altitudes of 379 m above ground level, flying higher during spring (mean: 444 m, 95% credible interval: 333–578 m) than fall (338 m, 95% CRI: 267–423 m). Woodcock flight altitudes were frequently lower than could be observed using weather radar (27% of observations), and 57% of observations fell within the altitude range of ≥1 airspace obstacle. Our results suggest that woodcock fly at altitudes lower than reported for most nocturnal migrants, which likely contributes to their vulnerability to obstacle collisions. Scolopax minor provide an example of how vulnerability to obstacle collisions during nocturnal migratory flights are often species-specific, and mitigation efforts should incorporate measures aimed at reducing collisions during both diurnal stopovers and nocturnal migratory flights to effectively reduce bird collision mortality.

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Publication Details

Journal
Ornithological applications
Published
2025-02-18
DOI
https://doi.org/10.1093/ornithapp/duaf017
Citations
2
Primary Topic
Avian ecology and behavior
Type
article
Field-Weighted Citation Impact
3.43
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article

Low migratory flight altitudes may explain increased collision risk for Scolopax minor (American Woodcock)

Alexander C. Fish, William B. Harvey, Erik J. Blomberg, Christian Roy et al.
2 citations
Ornithological applications
Avian ecology and behavior
3.43
article

Low migratory flight altitudes may explain increased collision risk for Scolopax minor (American Woodcock)

Alexander C. Fish, William B. Harvey, Erik J. Blomberg, Christian Roy, Rachel Darling, Amber M. Roth, Liam A. Berigan, Mathieu Tétreault, Scott R. McWilliams, Jeffrey P. Duguay, Theodore C. Nichols, Bobbi Carpenter, Gary Costanzo, Michael Hook, J. Bruce Pollard, Douglas L. Howell, Shawn W. Meyer, Dawn Washington, Lisa Williams, Sarah J. Clements, David Sausville, Clayton L. Graham, Jacob N. Straub, Seth Maddox, Colby Slezak, Greg Balkcom, Kayleigh Filkins, Josh Stiller
article en
2 citations

Abstract

Abstract Understanding bird migration at low altitudes is critical to evaluating risk of collision with obstacles. Recent advances in satellite tracking technologies allow quantifying use of low altitudes by small migrating birds with a high level of precision, allowing species-level inference into potential collision risk based on flight altitude. Scolopax minor (American Woodcock) is suspected to be a low-altitude migrant due to its frequent collisions with buildings, and subsequent mortality during migration may be contributing to population declines. We investigated migratory flight altitudes using satellite transmitters deployed on woodcock in 2020–2024 and examined how flight altitudes compare to the heights of common airspace obstacles. Each transmitter recorded a nocturnal GPS location with an altitude reading every 1–3 days during fall and spring migrations. We implemented a Bayesian hierarchical mixture model to identify whether locations were recorded on the ground or during flight, isolate measurement error, and describe the distribution of flight altitudes. We found that migrating woodcock fly at mean altitudes of 379 m above ground level, flying higher during spring (mean: 444 m, 95% credible interval: 333–578 m) than fall (338 m, 95% CRI: 267–423 m). Woodcock flight altitudes were frequently lower than could be observed using weather radar (27% of observations), and 57% of observations fell within the altitude range of ≥1 airspace obstacle. Our results suggest that woodcock fly at altitudes lower than reported for most nocturnal migrants, which likely contributes to their vulnerability to obstacle collisions. Scolopax minor provide an example of how vulnerability to obstacle collisions during nocturnal migratory flights are often species-specific, and mitigation efforts should incorporate measures aimed at reducing collisions during both diurnal stopovers and nocturnal migratory flights to effectively reduce bird collision mortality.

Ornithological applicationsVol. 127(2)
New York State Department of Environmental Conservation (US), Pennsylvania Historical and Museum Commission (US), Georgia Department of Natural Resources (US), South Carolina Department of Natural Resources (US), Louisiana Department of Wildlife and Fisheries (US), Environment and Climate Change Canada (CA), North Carolina Wildlife Resources Commission (US), United States Fish and Wildlife Service (US), Florida Fish and Wildlife Conservation Commission (US), University of Rhode Island (US), Parks and Wildlife Service (AU), Pennsylvania Fish and Boat Commission (US), Alabama Department of Conservation and Natural Resources (US), West Virginia Division of Natural Resources (US), Maryland Department of Natural Resources (US), Louisiana Department of Natural Resources (US), Vermont Fish & Wildlife Department (US), SUNY Brockport (US), University of Maine (US)
Openalex Percentile: Top 10%
Avian ecology and behavior
3.43
DOISourceOpenAlex
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