Tracking Canada Geese Near Airports: Using Spatial Data to Better Inform Management

The adaptation of birds to urban environments has created direct hazards to air transportation with the potential for catastrophic incidents. Bird–aircraft collisions involving Canada geese ( Branta canadensis goose) pose greater risks to aircraft than many bird species due to their size and flockin...

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Main Authors: Askren, Ryan J., Dorak, Brett E., Hagy, Heath M., Eiccholz, Michael W., Washburn, Brian E., Ward, Michael P.
Format: Text
Language:unknown
Published: Utah State University 2019
Subjects:
Online Access:https://dx.doi.org/10.26077/yv1k-dg31
https://digitalcommons.usu.edu/hwi/vol13/iss2/18
id ftdatacite:10.26077/yv1k-dg31
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spelling ftdatacite:10.26077/yv1k-dg31 2023-05-15T15:46:21+02:00 Tracking Canada Geese Near Airports: Using Spatial Data to Better Inform Management Askren, Ryan J. Dorak, Brett E. Hagy, Heath M. Eiccholz, Michael W. Washburn, Brian E. Ward, Michael P. 2019 https://dx.doi.org/10.26077/yv1k-dg31 https://digitalcommons.usu.edu/hwi/vol13/iss2/18 unknown Utah State University Text article-journal ScholarlyArticle 2019 ftdatacite https://doi.org/10.26077/yv1k-dg31 2021-11-05T12:55:41Z The adaptation of birds to urban environments has created direct hazards to air transportation with the potential for catastrophic incidents. Bird–aircraft collisions involving Canada geese ( Branta canadensis goose) pose greater risks to aircraft than many bird species due to their size and flocking behavior. However, information on factors driving movements of geese near airports and within aircraft arrival/departure areas for application to management are limited. To address this need, we deployed 31 neck collar-mounted global positioning system transmitters on Canada geese near Midway International Airport in Chicago, Illinois, USA during November 2015 to February 2016. We used the movement data obtained to model environmental and behavioral factors influencing the intersection of goose movements (i.e., transition from 1 location to another) with air operations areas (i.e., aircraft flight paths). Of 3,008 goose movements recorded, 821 intersected a 3-km buffer around the airport representing U.S. Federal Aviation Administration recommended distances from wildlife attractants, and 399 intersected flight paths for approaching and landing aircraft. The effects of weather (i.e., snow cover, temperature, wind speed) on the probability of geese flying varied with different air operation areas while certain habitat resources greatly increased the probability of intersection. For example, the juxtaposition of foraging (railyards with spilled grain) and loafing areas (rooftops) near the airport led to a higher probability of movements intersecting important air operations areas. The average altitude of flying geese was 29.8 m above the ground, resulting in the greatest risk of collision being within 0.5 km of the end of runways. We suggest airport goose collision mitigation management actions, such as reducing habitat resources near the airport and using focused nonlethal harassment or physical modifications, when guided by animal movement data, may further mitigate bird-strike risks. Text Branta canadensis DataCite Metadata Store (German National Library of Science and Technology) Canada
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description The adaptation of birds to urban environments has created direct hazards to air transportation with the potential for catastrophic incidents. Bird–aircraft collisions involving Canada geese ( Branta canadensis goose) pose greater risks to aircraft than many bird species due to their size and flocking behavior. However, information on factors driving movements of geese near airports and within aircraft arrival/departure areas for application to management are limited. To address this need, we deployed 31 neck collar-mounted global positioning system transmitters on Canada geese near Midway International Airport in Chicago, Illinois, USA during November 2015 to February 2016. We used the movement data obtained to model environmental and behavioral factors influencing the intersection of goose movements (i.e., transition from 1 location to another) with air operations areas (i.e., aircraft flight paths). Of 3,008 goose movements recorded, 821 intersected a 3-km buffer around the airport representing U.S. Federal Aviation Administration recommended distances from wildlife attractants, and 399 intersected flight paths for approaching and landing aircraft. The effects of weather (i.e., snow cover, temperature, wind speed) on the probability of geese flying varied with different air operation areas while certain habitat resources greatly increased the probability of intersection. For example, the juxtaposition of foraging (railyards with spilled grain) and loafing areas (rooftops) near the airport led to a higher probability of movements intersecting important air operations areas. The average altitude of flying geese was 29.8 m above the ground, resulting in the greatest risk of collision being within 0.5 km of the end of runways. We suggest airport goose collision mitigation management actions, such as reducing habitat resources near the airport and using focused nonlethal harassment or physical modifications, when guided by animal movement data, may further mitigate bird-strike risks.
format Text
author Askren, Ryan J.
Dorak, Brett E.
Hagy, Heath M.
Eiccholz, Michael W.
Washburn, Brian E.
Ward, Michael P.
spellingShingle Askren, Ryan J.
Dorak, Brett E.
Hagy, Heath M.
Eiccholz, Michael W.
Washburn, Brian E.
Ward, Michael P.
Tracking Canada Geese Near Airports: Using Spatial Data to Better Inform Management
author_facet Askren, Ryan J.
Dorak, Brett E.
Hagy, Heath M.
Eiccholz, Michael W.
Washburn, Brian E.
Ward, Michael P.
author_sort Askren, Ryan J.
title Tracking Canada Geese Near Airports: Using Spatial Data to Better Inform Management
title_short Tracking Canada Geese Near Airports: Using Spatial Data to Better Inform Management
title_full Tracking Canada Geese Near Airports: Using Spatial Data to Better Inform Management
title_fullStr Tracking Canada Geese Near Airports: Using Spatial Data to Better Inform Management
title_full_unstemmed Tracking Canada Geese Near Airports: Using Spatial Data to Better Inform Management
title_sort tracking canada geese near airports: using spatial data to better inform management
publisher Utah State University
publishDate 2019
url https://dx.doi.org/10.26077/yv1k-dg31
https://digitalcommons.usu.edu/hwi/vol13/iss2/18
geographic Canada
geographic_facet Canada
genre Branta canadensis
genre_facet Branta canadensis
op_doi https://doi.org/10.26077/yv1k-dg31
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