ArticleScientific data2022
A dataset of road-killed vertebrates collected via citizen science from 2014-2020.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Incorporating citizen science into IUCN Red List assessments.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
- Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles.Scientific data · 2025Article
- The contribution ofParasitology · 2023Review
- Lockdown's Silver Lining? Different Levels of Roadkill during the COVID-19 Times in Lithuania.Animals : an open access journal from MDPI · 2023Article
- Aliens on the Road: Surveying Wildlife Roadkill to Assess the Risk of Biological Invasion.Biology · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data on road-killed animals is essential for assessing the impact of roads on biodiversity. In most European countries data on road-killed huntable wildlife exists, but data on other vertebrate species (e.g. amphibians, reptiles, small mammals) is scarce. Therefore, we conducted a citizen science project on road-killed vertebrates as a useful supplement to data on huntable wildlife collected by public authorities. The dataset contains 15198 reports with 17163 individual road-killed vertebrates collected by 912 participants. The reports were made in 44 countries, but the majority of data was reported in Austria. We implemented a data validation routine which led to three quality levels. Reports in quality level 1 are published via GBIF, reports in quality level 2 via Zenodo and reports in quality level 3 were deleted. The dataset is relevant for the scientific community studying impacts of roads on fauna as well as for those who are responsible for road planning and implementing mitigation measures.
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Registered trials
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