A New Method for Zoning of Coastal Barriers based on Hydro-geomorphological and Climate Criteria

In recent years, the Iberian lynx (Lynx pardinus) has experienced a significant increase in the size of its population and in its distribution. The species currently occupies areas in which it had been extinct for decades and new road mortality black spots have been identified. Its conservation requires an intensive risk assessment of road–deaths in potential future distribution areas. Using the MaxEnt algorithm we aimed to identify the roads where there is a greater risk of road collision for the Iberian lynx. More than 1,150 stretches of road were evaluated in Andalusia (southern Spain). Both road–related and habitat variables were included in the model. A total of 1,395 km of the 7,384 km evaluated (18.9 %) were classified as high risk road. Our results could help plan future conservation strategies. To our knowledge, this is the first time that the MaxEnt algorithm has been used to provide spatially–explicit predictions about wildlife road mortality.

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DCAT-AP/NTI-RISP

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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 24d114d9-5b51-59aa-b767-ae0aa4b071f6
Metadata language Spanish
Themes (NTI-RISP)
High-value dataset category
ISO 19115 topic category biota
Other identifier ISSN 1735-6865
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Character encoding UTF-8
Spatial information
INSPIRE identifier ESPMITECOIEPNBMMENOR641
INSPIRE Themes
Geographic identifier Murcia
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Bounding Box
"{\"type\": \"Polygon\", \"coordinates\": [[[-2.34, 37.38], [-0.69, 37.38], [-0.69, 38.76], [-2.34, 38.76], [-2.34, 37.38]]]}"
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  1. International Journal of Environmental Research
  2. vol 9
  3. no 1
  4. 351-362
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Name of the dataset creator Sanchez-Badorrey, E. y Jalon-Rojas, I.
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Email of the dataset creator elenasb@ugr.es
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