@prefix adms: . @prefix cnt: . @prefix dcat: . @prefix dcatap: . @prefix dcmitype: . @prefix dct: . @prefix foaf: . @prefix gsp: . @prefix locn: . @prefix skos: . @prefix vcard: . @prefix xsd: . a dcat:Dataset ; dct:accessRights ; dct:conformsTo ; dct:creator [ a foaf:Agent ; dct:identifier "E05068001" ; dct:type ; foaf:mbox ; foaf:name "Ascensão, F., Yogui, D., Alves, M., Medici, E.P. y Desbiez, A."@en ] ; dct:description "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 discrimination power (AUC averaging 0.70 ± 0.07). The intrinsic spatial and temporal roadkill risk were the most important variables, followed by land cover, climate and NDVI. We show that identifying spatiotemporal roadkill patterns may provide valuable information to define specific management actions focused on road sections and time periods, in complement to permanent road mitigation measures. Our approach thus offers a new insight into the understanding of road effects and how to plan and strategize monitoring and mitigation."@en, "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 discrimination power (AUC averaging 0.70 ± 0.07). The intrinsic spatial and temporal roadkill risk were the most important variables, followed by land cover, climate and NDVI. We show that identifying spatiotemporal roadkill patterns may provide valuable information to define specific management actions focused on road sections and time periods, in complement to permanent road mitigation measures. Our approach thus offers a new insight into the understanding of road effects and how to plan and strategize monitoring and mitigation."@es ; dct:identifier "fcadbff5-6813-5a1b-8eb0-4ce902305c8f" ; dct:issued "2025-05-23T00:00:00+00:00"^^xsd:dateTime ; dct:language ; dct:license ; dct:modified "2026-06-25T00:00:00+00:00"^^xsd:dateTime ; dct:publisher ; dct:spatial ; dct:title "Predicting spatiotemporal patterns of road mortality for medium-large mammals."@es ; dct:type dcmitype:Text ; adms:identifier "DOI: 10.1016/j.jenvman.2019.109320" ; adms:status ; dcat:contactPoint ; dcat:distribution ; dcat:keyword "accidentes-y-atropellos-de-fauna"@en ; dcat:landingPage ; dcat:theme , . a dct:Location ; skos:prefLabel "España" ; dcat:bbox "POLYGON ((-18.1600 27.6400, 4.3200 27.6400, 4.3200 43.7900, -18.1600 43.7900, -18.1600 27.6400))"^^gsp:wktLiteral ; dcat:centroid "POINT (-6.9200 35.7150)"^^gsp:wktLiteral ; locn:geometry "POLYGON ((-18.1600 27.6400, 4.3200 27.6400, 4.3200 43.7900, -18.1600 43.7900, -18.1600 27.6400))"^^gsp:wktLiteral . a dct:LinguisticSystem . a dct:LinguisticSystem . a foaf:Agent ; dct:type ; vcard:hasEmail ; foaf:homepage ; foaf:name "Área de Banco de Datos de la Naturaleza. Dirección General Biodiversidad, Bosques y Desertificación. Ministerio para la Transición Ecológica y el Reto Demográfico"@en . a foaf:Document . a dcat:Distribution ; dcatap:availability ; dct:accessRights ; dct:description "Revista"@en, "Revista"@es ; dct:format ; dct:issued "2019-10-15T00:00:00+00:00"^^xsd:dateTime ; dct:language ; dct:license ; dct:modified "2026-06-25T00:00:00+00:00"^^xsd:dateTime ; dct:title "Acceso al recurso"@en, "Acceso al recurso"@es ; cnt:characterEncoding "UTF-8" ; dcat:accessURL ; dcat:mediaType . a vcard:Kind ; vcard:fn "Organismo publicador del Catálogo"@en ; vcard:hasEmail ; vcard:hasURL ; vcard:role . a dct:Standard . dct:type .