Por favor, use este identificador para citar o enlazar este ítem:
https://hdl.handle.net/20.500.12008/41057
Cómo citar
Registro completo de metadatos
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Coitiño Banquero, Hugo Ignacio | - |
dc.contributor.author | Achkar, Marcel | - |
dc.contributor.author | Guerrero, José Carlos | - |
dc.date.accessioned | 2023-11-13T13:01:50Z | - |
dc.date.available | 2023-11-13T13:01:50Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Coitiño Banquero, H, Achkar, M y Guerrero, J. "Prediction of sites with a high probability of wild mammal roadkill using a favourability function". Diversity. [en línea] 2021, 13(11): 585. 14 h. DOI: 10.3390/d13110585. | es |
dc.identifier.issn | 1424-2818 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.12008/41057 | - |
dc.description.abstract | Roads are one of the main causes of loss of biodiversity, with roadkill one of the main causes of mortality. The aim of this research was to identify sites with a high probability of roadkill of medium and large mammals, and the environmental variables that would explain it. We used the favourability function (F) to build the predictive models. There were 57 explanatory variables, and we collected 685 records of 10 species of medium and large native wild mammals from the ECOBIO Uruguay databases. They were grouped into native forest and grassland species, according to the main habitat. Two models were developed, one with all the variables and one with the anthropogenic variables. For both groups, the model obtained with all the variables was the most significant according to the evaluation indices used. This made it possible to identify the hot spots of roadkill (F > 0.6) for each of the groups. The anthropic variables were the ones that best explained these hot spots. This allowed the identification of sites where the probability of roadkill is high and requires a monitoring plan to implement mitigation measures in the future. | es |
dc.format.extent | 14 h | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | en | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Diversity, 2021, 13(11): 585. | es |
dc.rights | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
dc.subject | Road mitigation | es |
dc.subject | Potential distribution models | es |
dc.subject | Mortality hotspot | es |
dc.title | Prediction of sites with a high probability of wild mammal roadkill using a favourability function | es |
dc.type | Artículo | es |
dc.contributor.filiacion | Coitiño Banquero Hugo Ignacio, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales. | - |
dc.contributor.filiacion | Achkar Marcel, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales. | - |
dc.contributor.filiacion | Guerrero José Carlos, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales. | - |
dc.rights.licence | Licencia Creative Commons Atribución (CC - By 4.0) | es |
dc.identifier.doi | 10.3390/d13110585 | - |
Aparece en las colecciones: | Publicaciones académicas y científicas - Facultad de Ciencias |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | ||
---|---|---|---|---|---|
103390d13110585.pdf | 2,08 MB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons