Understanding Roadkill Hotspots: Insights from Comprehensive Wildlife Roadkill Databases

dc.contributor.authorMira, António
dc.contributor.authorGarcia, Graça
dc.contributor.authorPedroso, Nuno
dc.contributor.authorManghi, Giovanni
dc.contributor.authorSalgueiro, Pedro
dc.contributor.authorSantos, Sara
dc.contributor.editorHlaváč, V.
dc.contributor.editorStrnad, M.
dc.contributor.editorZasadil, P.
dc.date.accessioned2025-06-13T10:50:58Z
dc.date.available2025-06-13T10:50:58Z
dc.date.issued2024
dc.description.abstractWildlife roadkill databases often compile valuable information regarding species, timing, and locations of roadkill incidents, with some databases also including details such as gender and age classes. As part of the “LIFE LINES - Linear Infrastructure Networks with Ecological Solutions” project, we aggregated roadkill data from various sources, including road operators, traffic police, and academic institutions, into the Portuguese National Roadkill Database. This database encompasses over 130,000 records spanning most terrestrial vertebrates found in the country, ranging from small (< 1 kg) to medium (1-10 kg) and large (> 10 kg) species. Different sources contribute varying data, with academia accounting for all species and sizes, road operators primarily documenting medium and large vertebrates, and traffic police focusing mostly on large vertebrates. Notably, different data sources yield distinct roadkill hotspot patterns. By analysing a specific subset of the database consisting of daily monitored roadkill incidents, we investigated how different monitoring intervals affect the frequency and location of hotspots across various vertebrate classes, orders, species, and size categories. Our findings reveal that for smaller species like bats and amphibians, sampling intervals exceeding one day result in contrasting patterns compared to daily sampling, while for most medium and larger species, such discrepancies occur primarily with sampling intervals exceeding one week. We discuss the implications of these results for the development of effective roadkill monitoring and mitigation initiatives.por
dc.identifier.authoremailamira@uevora.pt
dc.identifier.authoremailnd
dc.identifier.authoremailnmpsp@uevora.pt
dc.identifier.authoremailnd
dc.identifier.authoremailpas@uevora.pt
dc.identifier.authoremailsmsantos@uevora.pt
dc.identifier.citationMira, A.; Garcia, G.; Pedroso, N.M; Manghi, G.; Salgueiro, P.; Santos, S. (2024). Understanding Roadkill Hotspots: Insights from Comprehensive Wildlife Roadkill Databases in Hlaváč V., Strnad M. & Zasadil P. (eds.) 2024: Biodiversity in the headlight of future transport – Book of Abstracts from IENE 2024 International Conference, Prague, September 9-13, 2024. Czech University of Life Sciences Prague & Nature Conservation Agency of the Czech Republic. ISBN: 978-80-213- 3428-1por
dc.identifier.isbn978-972-778-331-1
dc.identifier.scientificarea590por
dc.identifier.urihttps://www.researchgate.net/publication/384397449_Biodiversity_in_the_headlight_of_future_transport_-_Book_of_Abstracts_IENE_2024
dc.identifier.urihttp://hdl.handle.net/10174/38569
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIENEpor
dc.rightsopenAccesspor
dc.subjectRoadkill Databasespor
dc.titleUnderstanding Roadkill Hotspots: Insights from Comprehensive Wildlife Roadkill Databasespor
dc.typearticlepor

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