Sampling effects on the identification of roadkill hotspots: implications for survey design.

Although locating wildlife roadkill hotspots is essential to mitigate road impacts, the influence of study design on hotspot identification remains uncertain. We evaluated how sampling frequency affects the accuracy of hotspot identification, using a dataset of vertebrate roadkills (n = 4427) recorded over a year of daily surveys along 37 km of roads. “True” hotspots were identified using this baseline dataset, as the 500-m segments where the number of road-killed vertebrates exceeded the upper 95% confidence limit of the mean, assuming a Poisson distribution of road-kills per segment. “Estimated” hotspots were identified likewise, using datasets representing progressively lower sampling frequencies, which were produced by extracting data from the baseline dataset at appropriate time intervals (1–30 days). Overall, 24.3% of segments were “true” hotspots, concentrating 40.4% of roadkills. For different groups, “true …

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Resource type Text
Date of creation 2024-09-17
Date of last revision 2024-09-17
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Metadata identifier 8aeeac89-4475-52fa-9c15-a9d0373ccc34
Metadata language Spanish
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ISO 19115 topic category biota
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INSPIRE identifier ESPMITECOIEPNBFRAGM494
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Geographic identifier Spain
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"{\"type\": \"Polygon\", \"coordinates\": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}"
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  1. Journal of Environmental Management. Vol. 162
  2. pags. 87-95
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Name of the dataset creator Santos, S.M., Marques, J.T., Lourenço, A., Medinas, D., Barbosa, A.M., Beja, P. y Mira, A.
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