Opening the black box of bird-window collisions: passive video recordings in a residential backyard.

Behavior Bird feeding Birds Collisions Conservation Field study Video recording Windows

Journal

PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425

Informations de publication

Date de publication:
2022
Historique:
received: 28 06 2022
accepted: 29 11 2022
entrez: 26 12 2022
pubmed: 27 12 2022
medline: 28 12 2022
Statut: epublish

Résumé

Collisions with windows on buildings are a major source of bird mortality. The current understanding of daytime collisions is limited by a lack of empirical data on how collisions occur in the real world because most data are collected by recording evidence of mortality rather than pre-collision behaviour. Based on published literature suggesting a causal relationship between bird collision risk and the appearance of reflections on glass, the fact that reflections vary in appearance depending on viewing angle, and general principles of object collision kinematics, we hypothesized that the risk and lethality of window collisions may be related to the angle and velocity of birds' flight. We deployed a home security camera system to passively record interactions between common North American bird species and residential windows in a backyard setting over spring, summer and fall seasons over 2 years. We captured 38 events including 29 collisions and nine near-misses in which birds approached the glass but avoided impact. Only two of the collisions resulted in immediate fatality, while 23 birds flew away immediately following impact. Birds approached the glass at variable flight speeds and from a wide range of angles, suggesting that the dynamic appearance of reflections on glass at different times of day may play a causal role in collision risk. Birds that approached the window at higher velocity were more likely to be immediately killed or stunned. Most collisions were not detected by the building occupants and, given that most birds flew away immediately, carcass surveys would only document a small fraction of window collisions. We discuss the implications of characterizing pre-collision behaviour for designing effective collision prevention methods.

Identifiants

pubmed: 36570015
doi: 10.7717/peerj.14604
pii: 14604
pmc: PMC9784330
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14604

Informations de copyright

© 2022 Samuels et al.

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

Références

PLoS One. 2018 Aug 9;13(8):e0201558
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pubmed: 22036184
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pubmed: 23326420
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pubmed: 32537779
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pubmed: 27366656
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pubmed: 35341053
Sci Rep. 2021 May 26;11(1):11062
pubmed: 34040016
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Auteurs

Brendon Samuels (B)

Department of Biology, University of Western Ontario, London, Ontario, Canada.

Brock Fenton (B)

Department of Biology, University of Western Ontario, London, Ontario, Canada.

Esteban Fernández-Juricic (E)

Department of Biological Sciences, Purdue University, West Lafayette, Indiana, United States.

Scott A MacDougall-Shackleton (SA)

Department of Psychology, University of Western Ontario, London, Ontario, Canada.

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Classifications MeSH