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dc.contributorFacultad de Ciencias Biologicas y Ambientaleses_ES
dc.contributor.authorFernández-García, Víctor
dc.contributor.authorQuintano Pastor, Carmen
dc.contributor.authorTaboada Palomares, Ángela
dc.contributor.authorMarcos Porras, Elena María 
dc.contributor.authorCalvo Galván, Leonor
dc.contributor.authorFernández Manso, Alfonso
dc.contributor.otherEcologiaes_ES
dc.date2018-05-09
dc.date.accessioned2018-11-08T16:23:10Z
dc.date.available2018-11-08T16:23:10Z
dc.date.issued2018-11-08
dc.identifier.citationRemote Sensing, 2018, vol. 10, n. 5, 733es_ES
dc.identifier.urihttp://hdl.handle.net/10612/8972
dc.descriptionP. 1-18es_ES
dc.description.abstractWe aimed to analyze the relationship between fire regime attributes and the post-fire greenness recovery of fire-prone pine ecosystems over the short (2-year) and medium (5-year) term after a large wildfire, using both a single and a combined fire regime attribute approach. We characterized the spatial (fire size), temporal (number of fires, fire recurrence, and return interval), and magnitude (burn severity of the last fire) fire regime attributes throughout a 40-year period with a long-time series of Landsat imagery and ancillary data. The burn severity of the last fire was measured by the dNBR (difference of the Normalized Burn Ratio) spectral index, and classified according to the ground reference values of the CBI (Composite Burn Index). Post-fire greenness recovery was obtained through the difference of the NDVI (Normalized Difference Vegetation Index) between pre- and post-fire Landsat scenes. The relationship between fire regime attributes (single attributes: fire recurrence, fire return interval, and burn severity; combined attributes: fire recurrence-burn severity and fire return interval-burn severity) and post-fire greenness recovery was evaluated using linear models. The results indicated that all the single and combined attributes significantly affected greenness recovery. The single attribute approach showed that high recurrence, short return interval and low severity situations had the highest vegetation greenness recovery. The combined attribute approach allowed us to identify a wider variety of post-fire greenness recovery situations than the single attribute one. Over the short term, high recurrence as well as short return interval scenarios showed the best post-fire greenness recovery independently of burn severity, while over the medium term, high recurrence combined with low severity was the most recovered scenario. This novel combined attribute approach (temporal plus magnitude) could be of great value to forest managers in the development of post-fire restoration strategies to promote vegetation recovery in fire-prone pine ecosystems in the Mediterranean Basin under complex fire regime scenarioses_ES
dc.languageenges_ES
dc.publisherMDPIes_ES
dc.subjectEcología. Medio ambientees_ES
dc.subject.otherPinus pinasteres_ES
dc.subject.otherNumber of fireses_ES
dc.subject.otherFire sizees_ES
dc.subject.otherFire recurrencees_ES
dc.subject.otherFire return intervales_ES
dc.subject.otherBurn severityes_ES
dc.subject.otherdNDVIes_ES
dc.titleRemote Sensing Applied to the Study of Fire Regime Attributes and Their Influence on Post-Fire Greenness Recovery in Pine Ecosystemses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.peerreviewedSIes_ES


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