Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F25%3A10002359" target="_blank" >RIV/44994575:_____/25:10002359 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00027073:_____/25:N0000114
Výsledek na webu
<a href="https://www.nature.com/articles/s41597-024-04207-x#citeas" target="_blank" >https://www.nature.com/articles/s41597-024-04207-x#citeas</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-024-04207-x" target="_blank" >10.1038/s41597-024-04207-x</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles
Popis výsledku v původním jazyce
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 We undertook a compilation of roadkill records, encompassing both published and unpublished data gathered from road surveys or opportunistic sources.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.
Název v anglickém jazyce
Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10700 - Other natural sciences
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Scientific Data
ISSN
—
e-ISSN
2052-4463
Svazek periodika
12
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
14
Strana od-do
"nestrankovano"
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-105002540870