TY - JOUR
T1 - Global Roadkill Data
T2 - 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 - Guinard, Eric
AU - Zotos, Savvas
AU - Zoel, Ludmila
AU - Zocche, Jairo José
AU - Zenere, Juli Luft
AU - Zeferino, Glauco
AU - da Silva Zanzini, Antonio Carlos
AU - Zank, Caroline
AU - Zakaria, Sarah Shazwani
AU - Zaharia, Răzvan
AU - Yogui, Débora Regina
AU - Yahya, Muhammad Syafiq
AU - Yadav, Pochamoni Bharath Simha
AU - Yabu, Marcelo Hideki Shigaki
AU - Woo, Donggul
AU - Winter, Marina
AU - Williams, Samual T.
AU - Watari, Yuya
AU - Wale, Mengistu
AU - Vogiatzakis, Ioannis
AU - Vidotto-Magnoni, Ana Paula
AU - Vianna, Vinícius Rozendo
AU - Velo-Antón, Guillermo
AU - Velázquez, Nadines
AU - Vasava, Aayush
AU - van der Hoek, Yntze
AU - van der Grift, Edgar A.
AU - Valerio, Francesco
AU - Leal, Juan de Dios Valdez
AU - Vadodariya, Viral
AU - Utsa, Pantiya
AU - Umetsu, Ricardo Keichi
AU - Trakimas, Giedrius
AU - Tizzani, Paolo
AU - Thompson, Bill
AU - Tesfahunegny, Weldemariam
AU - Teles, Leonardo Teófilo
AU - Tejera, Gustavo
AU - Teixeira, Fernanda Zimmermann
AU - Teferi, Mekonen
AU - Mayer, Martin
AU - Data Collection Consortium
PY - 2025/12
Y1 - 2025/12
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 We undertook a compilation of roadkill records, encompassing both published and unpublished data gathered from road surveys or opportunistic sources.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.
UR - http://www.scopus.com/inward/record.url?scp=105002540870&partnerID=8YFLogxK
U2 - 10.1038/s41597-024-04207-x
DO - 10.1038/s41597-024-04207-x
M3 - Journal article
C2 - 40164625
AN - SCOPUS:105002540870
SN - 2052-4463
VL - 12
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 505
ER -