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Using road patrol data to identify factors associated with carnivore roadkill counts
As the global road network expands, roads pose an emerging threat to wildlife populations. One way in which roads can affect wildlife is wildlife-vehicle collisions, which can be a significant cause of mortality through roadkill. In order to successfully mitigate these problems, it is vital to under...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445248/ https://www.ncbi.nlm.nih.gov/pubmed/30956899 http://dx.doi.org/10.7717/peerj.6650 |
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author | Williams, Samual T. Collinson, Wendy Patterson-Abrolat, Claire Marneweck, David G. Swanepoel, Lourens H. |
author_facet | Williams, Samual T. Collinson, Wendy Patterson-Abrolat, Claire Marneweck, David G. Swanepoel, Lourens H. |
author_sort | Williams, Samual T. |
collection | PubMed |
description | As the global road network expands, roads pose an emerging threat to wildlife populations. One way in which roads can affect wildlife is wildlife-vehicle collisions, which can be a significant cause of mortality through roadkill. In order to successfully mitigate these problems, it is vital to understand the factors that can explain the distribution of roadkill. Collecting the data required to enable this can be expensive and time consuming, but there is significant potential in partnering with organisations that conduct existing road patrols to obtain the necessary data. We assessed the feasibility of using roadkill data collected daily between 2014 and 2017 by road patrol staff from a private road agency on a 410 km length of the N3 road in South Africa. We modelled the relationship between a set of environmental and anthropogenic variables on the number of roadkill carcasses, using serval (Leptailurus serval) as a model species. We recorded 5.24 serval roadkill carcasses/100 km/year. The number of carcasses was related to season, the amount of wetland, and NDVI, but was not related to any of the anthropogenic variables we included. This suggests that roadkill patterns may differ greatly depending on the ecology of species of interest, but targeting mitigation measures where roads pass through wetlands may help to reduce serval roadkill. Partnering with road agencies for data collection offers powerful opportunities to identify factors related to roadkill distribution and reduce the threats posed by roads to wildlife. |
format | Online Article Text |
id | pubmed-6445248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64452482019-04-05 Using road patrol data to identify factors associated with carnivore roadkill counts Williams, Samual T. Collinson, Wendy Patterson-Abrolat, Claire Marneweck, David G. Swanepoel, Lourens H. PeerJ Conservation Biology As the global road network expands, roads pose an emerging threat to wildlife populations. One way in which roads can affect wildlife is wildlife-vehicle collisions, which can be a significant cause of mortality through roadkill. In order to successfully mitigate these problems, it is vital to understand the factors that can explain the distribution of roadkill. Collecting the data required to enable this can be expensive and time consuming, but there is significant potential in partnering with organisations that conduct existing road patrols to obtain the necessary data. We assessed the feasibility of using roadkill data collected daily between 2014 and 2017 by road patrol staff from a private road agency on a 410 km length of the N3 road in South Africa. We modelled the relationship between a set of environmental and anthropogenic variables on the number of roadkill carcasses, using serval (Leptailurus serval) as a model species. We recorded 5.24 serval roadkill carcasses/100 km/year. The number of carcasses was related to season, the amount of wetland, and NDVI, but was not related to any of the anthropogenic variables we included. This suggests that roadkill patterns may differ greatly depending on the ecology of species of interest, but targeting mitigation measures where roads pass through wetlands may help to reduce serval roadkill. Partnering with road agencies for data collection offers powerful opportunities to identify factors related to roadkill distribution and reduce the threats posed by roads to wildlife. PeerJ Inc. 2019-03-29 /pmc/articles/PMC6445248/ /pubmed/30956899 http://dx.doi.org/10.7717/peerj.6650 Text en ©2019 Williams et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Conservation Biology Williams, Samual T. Collinson, Wendy Patterson-Abrolat, Claire Marneweck, David G. Swanepoel, Lourens H. Using road patrol data to identify factors associated with carnivore roadkill counts |
title | Using road patrol data to identify factors associated with carnivore roadkill counts |
title_full | Using road patrol data to identify factors associated with carnivore roadkill counts |
title_fullStr | Using road patrol data to identify factors associated with carnivore roadkill counts |
title_full_unstemmed | Using road patrol data to identify factors associated with carnivore roadkill counts |
title_short | Using road patrol data to identify factors associated with carnivore roadkill counts |
title_sort | using road patrol data to identify factors associated with carnivore roadkill counts |
topic | Conservation Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445248/ https://www.ncbi.nlm.nih.gov/pubmed/30956899 http://dx.doi.org/10.7717/peerj.6650 |
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