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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...

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Autores principales: Williams, Samual T., Collinson, Wendy, Patterson-Abrolat, Claire, Marneweck, David G., Swanepoel, Lourens H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
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.
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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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