4.1 Article

'Animals under wheels': Wildlife roadkill data collection by citizen scientists as a part of their nature recording activities

Journal

NATURE CONSERVATION-BULGARIA
Volume -, Issue 47, Pages 121-153

Publisher

PENSOFT PUBLISHERS
DOI: 10.3897/natureconservation.47.72970

Keywords

Citizen science; data quality; mammals; presence only data; relative trends; roadkill; structured monitoring; seasonal patterns

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'Animals under wheels' is a citizen science project that collected nearly 90,000 roadkill records from Flanders, Belgium between 2008 and 2020. The project utilized various platforms and apps, involving a large number of volunteers who achieved a high accuracy rate in species identification. The study found that monitoring speed affected the encounter rates and composition of roadkill species, while COVID-19 restrictions had an impact on the seasonal patterns of some species. The data also indicated that roadkill records did not increase, suggesting mitigation measures and declining population densities as possible factors.
'Animals under wheels' is a citizen science driven project that has collected almost 90,000 roadkill records from Flanders, Belgium, mainly between 2008 and 2020. However, until now, the platform and results have never been presented comprehensively to the scientific community and we highlight strengths and challenges of this system. Data collection occurred using the subsite www.dierenonderdewielen.be ('animals under wheels') or the multi-purpose biodiversity platform observation.org and the apps, allowing the registration of roadkill and living organisms alike. We recorded 4,314 citizen scientists who contributed with at least a single roadkill record (207-1,314 active users per year). Non-roadkill records were registered by 85% of these users and the median time between registration of the first and last record was over 6 years, indicating a very high volunteer retention. Based on photographs presented with the roadkill records (n = 7,687), volunteer users correctly identified 98.2% of the species. Vertebrates represent 99% of all roadkill records. Over 145,000 km of transects were monitored, resulting in 1,726 mammal and 2,041 bird victims. Carcass encounter rates and composition of the top 10 detected species list was dependent on monitoring speed. Roadkill data collected during transects only represented 6% of all roadkill data available in the dataset. The remaining 60,478 bird and mammal roadkill records were opportunistically collected. The top species list, based on the opportunistically collected roadkill data, is clearly biased towards larger, enigmatic species. Although indirect evidence showed an increase in search effort for roadkill from 2010-2020, the number of roadkill records did not increase, indicating that roadkills are diminishing. Mitigation measures preventing roadkill could have had an effect on this, but decrease in population densities was likely to (partially) influence this result. As a case study, the mammal roadkill data were explored. We used linear regressions for the 17 most registered mammal species, determining per species if the relative proportion per year changed significantly between 2010 and 2020 (1 significant decrease, 7 significant increases). We investigated the seasonal patterns in roadkill for the 17 mammal species, and patterns per species were consistent over the years, although restrictions on human movement, due to COVID-19, influenced the seasonal pattern for some species in 2020. In conclusion, citizen scientists are a very valuable asset in investigating wildlife roadkill. While we present the results from Flanders, the platform and apps are freely available for projects anywhere in the world.

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