Prediction of sites with a high probability of wild mammal roadkill using a favourability function
Resumen:
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.
| 2021 | |
|
Road mitigation Potential distribution models Mortality hotspot |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/41057 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución (CC - By 4.0) |
| _version_ | 1807522801595187200 |
|---|---|
| author | Coitiño Banquero, Hugo Ignacio |
| author2 | Achkar, Marcel Guerrero, José Carlos |
| author2_role | author author |
| author_facet | Coitiño Banquero, Hugo Ignacio Achkar, Marcel Guerrero, José Carlos |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Coitiño Banquero Hugo Ignacio, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales. Achkar Marcel, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales. Guerrero José Carlos, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales. |
| dc.creator.none.fl_str_mv | Coitiño Banquero, Hugo Ignacio Achkar, Marcel Guerrero, José Carlos |
| dc.date.accessioned.none.fl_str_mv | 2023-11-13T13:01:50Z |
| dc.date.available.none.fl_str_mv | 2023-11-13T13:01:50Z |
| dc.date.issued.none.fl_str_mv | 2021 |
| dc.description.abstract.none.fl_txt_mv | 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. |
| dc.format.extent.es.fl_str_mv | 14 h |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | 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. |
| dc.identifier.doi.none.fl_str_mv | 10.3390/d13110585 |
| dc.identifier.issn.none.fl_str_mv | 1424-2818 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41057 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | MDPI |
| dc.relation.ispartof.es.fl_str_mv | Diversity, 2021, 13(11): 585. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Road mitigation Potential distribution models Mortality hotspot |
| dc.title.none.fl_str_mv | Prediction of sites with a high probability of wild mammal roadkill using a favourability function |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_a59a71c083bacc8588bfbc109bdd62e7 |
| identifier_str_mv | 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. 1424-2818 10.3390/d13110585 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/41057 |
| publishDate | 2021 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| spelling | Coitiño Banquero Hugo Ignacio, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.Achkar Marcel, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.Guerrero José Carlos, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.2023-11-13T13:01:50Z2023-11-13T13:01:50Z2021Coitiño 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/d13110585.1424-2818https://hdl.handle.net/20.500.12008/4105710.3390/d13110585Roads 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.Submitted by Parodi Mónica (mparodi@fcien.edu.uy) on 2023-11-10T17:51:23Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 103390d13110585.pdf: 2126340 bytes, checksum: 7670272ca85ffaeb249c0728120fa423 (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2023-11-13T12:50:26Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 103390d13110585.pdf: 2126340 bytes, checksum: 7670272ca85ffaeb249c0728120fa423 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2023-11-13T13:01:50Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 103390d13110585.pdf: 2126340 bytes, checksum: 7670272ca85ffaeb249c0728120fa423 (MD5) Previous issue date: 202114 happlication/pdfenengMDPIDiversity, 2021, 13(11): 585.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)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)Road mitigationPotential distribution modelsMortality hotspotPrediction of sites with a high probability of wild mammal roadkill using a favourability functionArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaCoitiño Banquero, Hugo IgnacioAchkar, MarcelGuerrero, José CarlosLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/41057/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/41057/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | Prediction of sites with a high probability of wild mammal roadkill using a favourability function Coitiño Banquero, Hugo Ignacio Road mitigation Potential distribution models Mortality hotspot |
| status_str | publishedVersion |
| title | Prediction of sites with a high probability of wild mammal roadkill using a favourability function |
| title_full | Prediction of sites with a high probability of wild mammal roadkill using a favourability function |
| title_fullStr | Prediction of sites with a high probability of wild mammal roadkill using a favourability function |
| title_full_unstemmed | Prediction of sites with a high probability of wild mammal roadkill using a favourability function |
| title_short | Prediction of sites with a high probability of wild mammal roadkill using a favourability function |
| title_sort | Prediction of sites with a high probability of wild mammal roadkill using a favourability function |
| topic | Road mitigation Potential distribution models Mortality hotspot |
| url | https://hdl.handle.net/20.500.12008/41057 |
