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; Data Collection Consortium

doi:10.1038/s41597-024-04207-x

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, Data Collection Consortium

Research output: Contribution to journal › Article › peer-review

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 We undertook a compilation of roadkill records, encompassing both published and unpublished data gathered from road surveys or opportunistic sources.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 language	English
Article number	505
Journal	Scientific Data
Volume	12
DOIs	https://doi.org/10.1038/s41597-024-04207-x
Publication status	Published - 31 Mar 2025

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s41597-024-04207-xFinal published version, 1.49 MBLicence: CC BY-NC-ND

Cite this

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title = "Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles",

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.",

author = "Clara Grilo and Tom{\'e} Neves and Jennifer Bates and {le Roux}, Aliza and Pablo Medrano-Vizca{\'i}no and Mattia Quaranta and In{\^e}s Silva and Kylie Soanes and Yun Wang and {Data Collection Consortium} and Bogoni, {Juliano Andr{\'e}} and Shrestha, {Bibek Raj}",

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day = "31",

doi = "10.1038/s41597-024-04207-x",

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T1 - Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles

AU - Grilo, Clara

AU - Neves, Tomé

AU - Bates, Jennifer

AU - le Roux, Aliza

AU - Medrano-Vizcaíno, Pablo

AU - Quaranta, Mattia

AU - Silva, Inês

AU - Soanes, Kylie

AU - Wang, Yun

AU - Data Collection Consortium

AU - Bogoni, Juliano André

AU - Shrestha, Bibek Raj

PY - 2025/3/31

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N2 - 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.

AB - 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.

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