RESEARCH PAPER
Are road-kills representative of wildlife community obtained from atlas data?
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1
Road Ecology Lab, Department of Biodiversity, Ecology y Evolution, Facultad de Ciencias Biológicas. Complutense University of Madrid, C/José Antonio Novais, nº 12, E-28040, Madrid, Spain
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Ce3C - Centre for Ecology, Evolution and Environmental Changes – Faculdade de Ciências da Universidade de Lisboa (FCUL), Portugal
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CIBIO/InBIO, University of Porto, Vairão Campus, Rua Padre Armando Quintas, nº 7. 4485-661 Vairão, Portugal
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CIBIO/InBIO, University of Lisbon, Tapada da Ajuda Campus, Calçada da Tapada, s/n. 1349-017 Lisbon, Portugal
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Department of Conservation Biology, Estación Biológica de Doñana (EBD-CSIC), C/Américo Vespucio 26, 41092 Seville, Spain.
Online publication date: 2021-04-11
Publication date: 2021-04-11
Corresponding author
Pablo Quiles Tundidor
Road Ecology Lab, Department of Biodiversity, Ecology y Evolution, Facultad de Ciencias Biológicas. Complutense University of Madrid, C/José Antonio Novais, nº 12, E-28040, Madrid, Spain
Hystrix It. J. Mamm. 2021;32(1):89-94
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ABSTRACT
Systematic road-kill surveys are useful to study the impact of roads on wildlife. However, they are time- and budget-consuming, so the use of non-systematic data in road ecology is currently gaining popularity (for instance, by environmental consultants). Some data sources such as atlases (i.e., compilations of species records from a given region), which can include non-systematic and citizen-science data, can entail several intrinsic biases, mostly due to uneven sampling effort and uneven species detectability. Here, we tested this prediction by verifying if data from the Spanish Atlas of Terrestrial Mammals mirror the road-kill patterns obtained from our own systematic road-kill surveys. We focused on the Mediterranean mesocarnivore guild due to its easy identification by citizens involved in atlas-data collection. We tested if the relative abundance of each species, their richness and diversity obtained from Atlas and our systematic surveys were related, using linear models, while controlling for human population and road density (potentially confounding effects). We further compared the patterns of species abundance obtained from both sources. Our results highlight that road-kill patterns do not mirror the Atlas patterns for the three metrics evaluated. This is probably due to survey biases in typical data from wildlife atlases. When analysing species individually, we found that some species are road-killed more (or less) than expected in relation to their abundance in atlas records. These results are probably due to species-specific ecological or behavioural traits such as species morphology or species behaviour when facing the road. We suggest that abundance from atlas data should not be used as a proxy for road-kill rates.