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Multi-scale temporal variation in bird-window collisions in the central United States
Expansion of urbanization and infrastructure associated with human activities has numerous impacts on wildlife including causing wildlife-structure collisions. Collisions with building windows represent a top bird mortality source, but a lack of research into timing of these collisions hampers effor...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155105/ https://www.ncbi.nlm.nih.gov/pubmed/34040016 http://dx.doi.org/10.1038/s41598-021-89875-0 |
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author | Riding, Corey S. O’Connell, Timothy J. Loss, Scott R. |
author_facet | Riding, Corey S. O’Connell, Timothy J. Loss, Scott R. |
author_sort | Riding, Corey S. |
collection | PubMed |
description | Expansion of urbanization and infrastructure associated with human activities has numerous impacts on wildlife including causing wildlife-structure collisions. Collisions with building windows represent a top bird mortality source, but a lack of research into timing of these collisions hampers efforts to predict them and mitigate effects on avian populations. In Stillwater, Oklahoma, USA, we investigated patterns of bird-window collisions at multiple temporal scales, from within-day to monthly and seasonal variation. We found that collisions peaked during overnight and early morning hours, a pattern that was consistent across seasons. Further, temporal variation in fatal collisions was explained by an interaction between season and avian residency status. This interaction illustrated the expected pattern that more migrant individuals than residents collided in fall, but we also documented unexpected patterns. For example, the highest monthly total of collisions occurred in spring migration during May. We also found similarly high numbers of resident and migrant collisions in spring, and a roughly similar amount of migrant mortality in spring and fall migration. These findings, which provide unprecedented quantitative information regarding temporal variation in bird-window collisions, have important implications for understanding mechanisms by which birds collide and improving timing of measures to reduce this major bird mortality source. |
format | Online Article Text |
id | pubmed-8155105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81551052021-05-27 Multi-scale temporal variation in bird-window collisions in the central United States Riding, Corey S. O’Connell, Timothy J. Loss, Scott R. Sci Rep Article Expansion of urbanization and infrastructure associated with human activities has numerous impacts on wildlife including causing wildlife-structure collisions. Collisions with building windows represent a top bird mortality source, but a lack of research into timing of these collisions hampers efforts to predict them and mitigate effects on avian populations. In Stillwater, Oklahoma, USA, we investigated patterns of bird-window collisions at multiple temporal scales, from within-day to monthly and seasonal variation. We found that collisions peaked during overnight and early morning hours, a pattern that was consistent across seasons. Further, temporal variation in fatal collisions was explained by an interaction between season and avian residency status. This interaction illustrated the expected pattern that more migrant individuals than residents collided in fall, but we also documented unexpected patterns. For example, the highest monthly total of collisions occurred in spring migration during May. We also found similarly high numbers of resident and migrant collisions in spring, and a roughly similar amount of migrant mortality in spring and fall migration. These findings, which provide unprecedented quantitative information regarding temporal variation in bird-window collisions, have important implications for understanding mechanisms by which birds collide and improving timing of measures to reduce this major bird mortality source. Nature Publishing Group UK 2021-05-26 /pmc/articles/PMC8155105/ /pubmed/34040016 http://dx.doi.org/10.1038/s41598-021-89875-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Riding, Corey S. O’Connell, Timothy J. Loss, Scott R. Multi-scale temporal variation in bird-window collisions in the central United States |
title | Multi-scale temporal variation in bird-window collisions in the central United States |
title_full | Multi-scale temporal variation in bird-window collisions in the central United States |
title_fullStr | Multi-scale temporal variation in bird-window collisions in the central United States |
title_full_unstemmed | Multi-scale temporal variation in bird-window collisions in the central United States |
title_short | Multi-scale temporal variation in bird-window collisions in the central United States |
title_sort | multi-scale temporal variation in bird-window collisions in the central united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155105/ https://www.ncbi.nlm.nih.gov/pubmed/34040016 http://dx.doi.org/10.1038/s41598-021-89875-0 |
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