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resumen

Resumen
Wildfires are a major threat to people and property in Wildland Urban Interface (WUI) communities worldwide, but while the patterns of the WUI in North America, Europe and Oceania have been studied before, this is not the case in Latin America. Our goals were to a) map WUI areas in central Argentina, and b) assess wildfire exposure for WUI communities in relation to historic fires, with special emphasis on large fires and estimated burn probability based [ver mas...]
dc.contributor.authorArgañaraz, Juan Pablo
dc.contributor.authorRadeloff, Volker C.
dc.contributor.authorBar-Massada, A.
dc.contributor.authorGavier Pizarro, Gregorio Ignacio
dc.contributor.authorScavuzzo, Carlos Marcelo
dc.contributor.authorBellis, Laura Marisa
dc.date.accessioned2018-09-07T17:53:40Z
dc.date.available2018-09-07T17:53:40Z
dc.date.issued2017-07-01
dc.identifier.issn0301-4797
dc.identifier.issn1095-8630
dc.identifier.otherhttps://doi.org/10.1016/j.jenvman.2017.03.058
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0301479717302736?via%3Dihub
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3314
dc.description.abstractWildfires are a major threat to people and property in Wildland Urban Interface (WUI) communities worldwide, but while the patterns of the WUI in North America, Europe and Oceania have been studied before, this is not the case in Latin America. Our goals were to a) map WUI areas in central Argentina, and b) assess wildfire exposure for WUI communities in relation to historic fires, with special emphasis on large fires and estimated burn probability based on an empirical model. We mapped the WUI in the mountains of central Argentina (810,000 ha), after digitizing the location of 276,700 buildings and deriving vegetation maps from satellite imagery. The areas where houses and wildland vegetation intermingle were classified as Intermix WUI (housing density > 6.17 hu/km2 and wildland vegetation cover > 50%), and the areas where wildland vegetation abuts settlements were classified as Interface WUI (housing density > 6.17 hu/km2, wildland vegetation cover < 50%, but within 600 m of a vegetated patch larger than 5 km2). We generated burn probability maps based on historical fire data from 1999 to 2011; as well as from an empirical model of fire frequency. WUI areas occupied 15% of our study area and contained 144,000 buildings (52%). Most WUI area was Intermix WUI, but most WUI buildings were in the Interface WUI. Our findings suggest that central Argentina has a WUI fire problem. WUI areas included most of the buildings exposed to wildfires and most of the buildings located in areas of higher burn probability. Our findings can help focus fire management activities in areas of higher risk, and ultimately provide support for landscape management and planning aimed at reducing wildfire risk in WUI communities.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceJournal of Environmental Management 196 : 499-510 (July 2017)es_AR
dc.subjectFuego Griegoes_AR
dc.subjectWildfireseng
dc.subjectEvaluaciónes_AR
dc.subjectEvaluationeng
dc.subjectImágenes por Satéliteses_AR
dc.subjectSatellite Imageryeng
dc.subjectControl de Incendioses_AR
dc.subjectFire Controleng
dc.subject.otherIncendios de Arbustoses_AR
dc.subject.otherArgentinaes_AR
dc.titleAssessing wildfire exposure in the Wildland-Urban Interface area of the mountains of central Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenInstituto de Recursos Biológicoses_AR
dc.description.filFil: Argañaraz, Juan Pablo. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Cordoba. Instituto de Diversidad y Ecologia Animal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentinaes_AR
dc.description.filFil: Radeloff, V.C. University of Wisconsin–Madison. Department of Forest and Wildlife Ecology. SILVIS Lab; Estados Unidoses_AR
dc.description.filFil: Bar-Massada, A. University of Haifa. Department of Biology and Environment; Israeles_AR
dc.description.filFil: Gavier Pizarro, Gregorio Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentinaes_AR
dc.description.filFil: Scavuzzo, Carlos Marcelo. Comisión Nacional de Actividades Espaciales (CONAE), Instituto Gulich; Argentinaes_AR
dc.description.filFil: Bellis, Laura Marisa. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Cordoba. Instituto de Diversidad y Ecologia Animal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentinaes_AR
dc.subtypecientifico


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