Carcass Persistence and Detectability: Reducing the Uncertainty Surrounding Wildlife-Vehicle Collision Surveys

PLoS One. 2016 Nov 2;11(11):e0165608. doi: 10.1371/journal.pone.0165608. eCollection 2016.

Abstract

Carcass persistence time and detectability are two main sources of uncertainty on roadkill surveys. In this study, we evaluate the influence of these uncertainties on roadkill surveys and estimates. To estimate carcass persistence time, three observers (including the driver) surveyed 114km by car on a monthly basis for two years, searching for wildlife-vehicle collisions (WVC). Each survey consisted of five consecutive days. To estimate carcass detectability, we randomly selected stretches of 500m to be also surveyed on foot by two other observers (total 292 walked stretches, 146 km walked). We expected that body size of the carcass, road type, presence of scavengers and weather conditions to be the main drivers influencing the carcass persistence times, but their relative importance was unknown. We also expected detectability to be highly dependent on body size. Overall, we recorded low median persistence times (one day) and low detectability (<10%) for all vertebrates. The results indicate that body size and landscape cover (as a surrogate of scavengers' presence) are the major drivers of carcass persistence. Detectability was lower for animals with body mass less than 100g when compared to carcass with higher body mass. We estimated that our recorded mortality rates underestimated actual values of mortality by 2-10 fold. Although persistence times were similar to previous studies, the detectability rates here described are very different from previous studies. The results suggest that detectability is the main source of bias across WVC studies. Therefore, more than persistence times, studies should carefully account for differing detectability when comparing WVC studies.

MeSH terms

  • Accidents, Traffic / statistics & numerical data*
  • Animals
  • Animals, Wild
  • Body Size
  • Cadaver*
  • Risk Factors
  • Surveys and Questionnaires
  • Uncertainty
  • Weather

Grants and funding

RALS was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico-CNPq and Instituto Brasília Ambiental – IBRAM. SMS was supported by a Postdoc grant from Fundação para a Ciência e Tecnologia (SFRH/BPD/70124/2010). FA was funded by a postdoc grant from Infraestruturas de Portugal Biodiversity Chair—CIBIO—Research Center in Biodiversity and Genetic Resources (BPD-REFER-NC). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.