Assessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices

dc.creatorGhermandi, Luciana
dc.creatorLanorte, Antonio
dc.creatorOddi, Facundo José
dc.creatorLasaponara, Rosa
dc.date2019-03-31
dc.date.accessioned2023-08-30T16:47:37Z
dc.date.available2023-08-30T16:47:37Z
dc.identifierGhermandi 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.
dc.identifier0975-5896
dc.identifierhttp://rid.unrn.edu.ar/handle/20.500.12049/5572
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8537677
dc.descriptionFil: Ghermandi, Luciana. Laboratorio Ecotono, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente (CONICET - UNCo); Argentina.
dc.descriptionFil: Lanorte, Antonio. CNR-IMAA; Italia.
dc.descriptionFil: Oddi, Facundo J. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
dc.descriptionFil: Lasaponara, Rosa. CNR-IMAA; Italia.
dc.descriptionFil: Oddi, Facundo J. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
dc.descriptionAvailable 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.
dc.descriptiontrue
dc.description-
dc.formatapplication/pdf
dc.languageen
dc.publisherGlobal Journals
dc.relation19 (1)
dc.relationGlobal Journal of Science Frontier Research: H Environment & Earth Science
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectCiencias Agrarias
dc.subjectGrassland Fires
dc.subjectFire Indexes
dc.subjectFire Severity
dc.subjectLandscape Fire Ecology
dc.subjectRemote Sensing
dc.subjectSemiarid Patagonia
dc.subjectCiencias Agrarias
dc.titleAssessing Fire Severity in Semiarid Environments with the DNBR and RDNBR Indices


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