Using road patrol data to identify factors associated with carnivore roadkill counts

Department of Zoology, University of Venda, Thohoyandou, South Africa
Department of Anthropology, Durham University, Durham, United Kingdom
Institute for Globally Distributed Open Research and Education (IGDORE), Hoedspruit, South Africa
Endangered Wildlife Trust, Johannesburg, South Africa
Centre for Wildlife Management, University of Pretoria, Pretoria, South Africa
DOI
10.7287/peerj.preprints.27114v1
Subject Areas
Conservation Biology, Ecology, Zoology
Keywords
road ecology, human-wildlife conflict, wildlife management, wildlife-vehicle collision
Copyright
© 2018 Williams et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, 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 Preprints) and either DOI or URL of the article must be cited.
Cite this article
Williams ST, Collinson W, Patterson-Abrolat C, Marneweck DG, Swanepoel LH. 2018. Using road patrol data to identify factors associated with carnivore roadkill counts. PeerJ Preprints 6:e27114v1

Abstract

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 the number of owls killed on the roads, 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.

Author Comment

This is a preprint submission to PeerJ Preprints.