Predicción de patrones espaciotemporales de mortalidad en carreteras para mamíferos de tamaño mediano y grande.

We modelled the spatiotemporal patterns of road mortality for seven medium-large mammals, using a roadkill dataset from Mato Grosso do Sul, Brazil (800 km of roads surveyed every two weeks, for two years). We related roadkill presence-absence along the road sections (1000 m) and across the survey dates with a collection of environmental variables, including land cover, forest cover, distance to rivers, temperature, precipitation and vegetation productivity. We further included two variables aiming to reflect the intrinsic spatial and temporal roadkill risk. Environmental variables were obtained through remote sensing and weather stations, allowing the estimate of the roadkill risk for the entire surveyed roads and survey periods. Overall, the models could explain a small fraction of the spatiotemporal patterns of roadkills (<0.23), probably due to species being habitat generalists, but still had reasonable …

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DCAT-AP/NTI-RISP

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Resource type Text
Date of creation 2024-06-18
Date of last revision 2024-09-17
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Metadata identifier fcd14661-d65f-52a0-b97a-b2ca8be06ec9
Metadata language Spanish
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ISO 19115 topic category biota
Other identifier 10.1016/j.jenvman.2019.109320
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INSPIRE identifier ESPMITECOIEPNBFRAGM342
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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. 248
  2. pags. 109320
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Name of the dataset creator Ascensão, F., Yogui, D., Alves, M., Medici, E.P. y Desbiez, A.
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