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dc.contributor.authorGhermandi, Luciana-
dc.contributor.authorLanorte, Antonio-
dc.contributor.authorOddi, Facundo José-
dc.contributor.authorLasaponara, Rosa-
dc.date.accessioned2020-08-11T15:00:29Z-
dc.date.available2020-08-11T15:00:29Z-
dc.date.issued2019-03-31-
dc.identifier.citationGhermandi L, Lanorte A, Oddi FJ, Lasaponara R. (2019). Assessing Fire Severity in Semiarid Environments with the dNBR and RdNBR Indices. Global Journal of Science Frontier Research; 19 (1); 27-44.es_ES
dc.identifier.issn0975-5896es_ES
dc.identifier.urihttp://rid.unrn.edu.ar/handle/20.500.12049/5572-
dc.description.abstractAvailable remote sensing historical Landsat TM images allow identifying of first order effects of wildfires also in huge and inaccessible regions. In this paper the usefulness of the best known satellitederived severity indices was tested on a large wildfire occurred in January 1999 in a steppe of Northwestern Patagonia. The main objective of the work was to analyze and compare the behavior of dNBR and RdNBR in their ability to discriminate the degrees of fire severity in semiarid ecosystems principally dominated by herbaceous vegetation. For this purpose the values of the two indexes were compared in all vegetation communities (shrubl and, meadow, grassland and forestation). To interpret the results, we considered the variability of the principal factors that influence the fire severity, as fire intensity, fire duration and vegetation susceptibility to fire. The analysis showed that the interaction between fire and vegetation changes the fire effects because the vegetation parameter as fuel load, moisture content, species composition, horizontal continuity and the topography affect the fire behavior and then the fire severity. Furthermore the results suggest that dNBR and RdNBR provide substantially different information respectively related to the effects on soil and vegetation. This work is an important contribution to the utilization of fire severity indexes in ecosystems dominated by herbaceous species that change more subtly the post-fire biomass than ecosystems dominated by woody species.es_ES
dc.format.extentp. 27-44es_ES
dc.format.mediumdigitales_ES
dc.language.isoenes_ES
dc.publisherGlobal Journalses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/-
dc.titleAssessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indiceses_ES
dc.typeArticuloes_ES
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)-
dc.description.filiationFil: Ghermandi, Luciana. Laboratorio Ecotono, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente (CONICET - UNCo); Argentina.es_ES
dc.description.filiationFil: Lanorte, Antonio. CNR-IMAA; Italia.es_ES
dc.description.filiationFil: Oddi, Facundo J. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.es_ES
dc.description.filiationFil: Lasaponara, Rosa. CNR-IMAA; Italia.es_ES
dc.description.filiationFil: Oddi, Facundo J. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.es_ES
dc.subject.keywordGrassland Fireses_ES
dc.subject.keywordFire Indexeses_ES
dc.subject.keywordFire Severityes_ES
dc.subject.keywordLandscape Fire Ecologyes_ES
dc.subject.keywordRemote Sensinges_ES
dc.subject.keywordSemiarid Patagoniaes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.materiaCiencias Agrariases_ES
dc.origin.lugarDesarrolloLaboratorio Ecotono, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente (CONICET - UNCo)es_ES
dc.origin.lugarDesarrolloCNR-IMAAes_ES
dc.relation.journalissue19 (1)es_ES
dc.description.reviewtruees_ES
dc.description.resumen-es_ES
dc.relation.journalTitleGlobal Journal of Science Frontier Research: H Environment & Earth Sciencees_ES
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