Mapa de previsión del riesgo de atropello aviar en Europa: una herramienta para identificar posibles puntos críticos.

In this study, we propose a novel strategy for identifying potential hotspots of avian roadkills in Europe. The proposed approach combines information about the spatial distribution of bird species at a comparatively higher risk of roadkill with data on road density. First, using a large dataset collected from several European studies and reports, we extracted the frequency of occurrence of bird casualties for 209 breeding bird species recorded in roadkill events. We standardized the relative frequency of roadkill from 0 (species never recorded in bird casualties' reports) to 1 (species with the higher number of roadkill's), obtaining a continuous variable that indicates the potential risk of roadkill species by species. Second, using published data on the spatial distribution of breeding bird species in Europe, we calculated the cumulative risk of roadkill in each bird assemblages, by considering the sum of the values estimated for each species in the previous step. Third, we calculated the road density in each spatial unit. Finally, we elaborate a forecasting map of potential avian roadkill-risk across Europe, by combining the data on road density and cumulative roadkill risk of bird communities. The tool proposed can help to identify potential hotspots at different spatial scales where the risk of avian roadkill is high, offering the possibility to improve conservation measures in road planning. Briefly, the prediction of where there is aligned convergence between communities with highly ranked species and landscapes with dense road networks can be used in procedures modelling wildlife-car collisions, for transportation mitigation projects.

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Metadata

Basic information
Resource type Text
Date of creation 2024-06-18
Date of last revision 2024-09-17
Show changelog
Metadata identifier c42e672b-9c7e-5373-b501-4c5a44240fb6
Metadata language Spanish
Themes (NTI-RISP)
High-value dataset category
ISO 19115 topic category
Other identifier 10.1016/j.biocon.2020.108729
Keyword URIs
Character encoding UTF-8
Spatial information
INSPIRE identifier ESPMITECOIEPNBFRAGM687
INSPIRE Themes
Geographic identifier Spain
Coordinate Reference System
Spatial representation Type
Bounding Box
"{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}"
Spatial resolution of the dataset (m)
Provenance
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Source dataset
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Sources
  1. Biological Conservation. Vol. 249
  2. pag. 108729
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Temporal extent (End)
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Responsible Party
Name of the dataset creator Morelli, F., Benedetti, Y. y Delgado, J.D.
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Identifier of the dataset creator
Email of the dataset creator
Website of the dataset creator
Identifier of the dataset maintainer
Email of the dataset maintainer
Website of the dataset maintainer