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Global Roadkill Data: A dataset on terrestrial vertebrate mortality caused by collision with vehicles

  • Clara Grilo
  • , Tomé Neves
  • , Jennifer Bates
  • , Aliza le Roux
  • , Pablo Medrano-Vizcaíno
  • , Mattia Quaranta
  • , Inês Silva
  • , Kylie Soanes
  • , Yun Wang
  • ,
  • University of Porto
  • University of Lisbon
  • Universidade Federal de Lavras
  • University of North Carolina at Charlotte
  • University of The Free State
  • Red Ecuatoriana para el Monitoreo de Fauna Atropellada-REMFA
  • UCLM-JCCM)
  • Helmholtz-Zentrum Dresden-Rossendorf
  • University of Melbourne
  • China Academy of Transportation Sciences
  • Ministry for Ecological and Inclusive Transition
  • Open University of Cyprus
  • Universidade Veiga de Almeida
  • Universidade do Extremo Sul Catarinense
  • Companhia de Concessão Rodoviária Juiz de Fora-Rio de Janeiro (CONCER)
  • Biolaw Consultoria Ambiental Ltda.
  • Universidade Federal do Rio Grande do Sul
  • Universiti Teknologi MARA
  • University of Bucharest
  • Wild Animal Conservation Institute (ICAS)
  • Nashville Zoo
  • Universiti Putra Malaysia
  • The Madura College
  • Universidade Estadual de Londrina
  • National Institute of Ecology
  • Universidad Nacional de Río Negro
  • University of Venda
  • Durham University
  • Institute for Globally Distributed Open Research and Education (IGDORE)
  • Forestry and Forest Products Research Institute
  • Ethiopian Biodiversity Institute
  • University of Bari
  • Centro Universitário de Brasília
  • University of Vigo
  • Universidad Nacional Experimental de los Llanos Occidentales Ezequiel Zamora (UNELLEZ)
  • M.S. University of Baroda
  • Dian Fossey Gorilla Fund
  • Wageningen University & Research
  • University of Évora
  • Universidad Juarez Autonoma de Tabasco
  • Gujarat Institude of Desert Ecology
  • Royal Thai Forest Department
  • Universidade do Estado de Mato Grosso
  • Vilnius University
  • Daugavpils University
  • University of Turin
  • Lake Simcoe Region Conservation Authority
  • Animals Biodiversity Case Team
  • Universidade Estadual de Goiás
  • Canary Islands’ Ornithology and Natural History Group
  • Mekelle University
  • Kasetsart University

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Roadkill is widely recognized as one of the primary negative effects of roads on many wildlife species and also has socioeconomic impacts when they result in accidents. A comprehensive dataset of roadkill locations is essential to evaluate the factors contributing to roadkill risk and to enhance our comprehension of its impact on wildlife populations and socioeconomic dimensions. We undertook a compilation of roadkill records, encompassing both published and unpublished data gathered from road surveys or opportunistic sources. GLOBAL ROADKILL DATA includes 208,570 roadkill records of terrestrial vertebrates from 54 countries across six continents, encompassing data collected between 1971 and 2024. This dataset serves to minimise the collection of redundant data and acts as a valuable resource for local and macro scale analysis regarding rates of roadkill, road- and landscape-related features associated with risk of roadkill, vulnerability of species to road traffic, and populations at risk of local extinction. The objective of this dataset is to promote scientific progress in infrastructure ecology and terrestrial vertebrate conservation while limiting the socio-economic costs.

Original languageEnglish
Article number505
Number of pages14
JournalScientific Data
Volume12
Issue number1
Early online date31 Mar 2025
DOIs
StatePublished - Dec 2025
Externally publishedYes

Keywords

  • biodiversity
  • conservation biology

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