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Evaluation of fire severity in fire prone-ecosystems of Spain under two different environmental conditions.
García-Llamas, Paula; Suárez-Seoane, Susana; Fernández-Manso, Alfonso; Quintano, Carmen; Calvo, Leonor.
Afiliação
  • García-Llamas P; Biodiversity and Environmental Management Dpt., Faculty of Biological and Environmental Sciences, University of León, Campus de Vegazana s/n, 24071, León, Spain; Institute of Environmental Research (IMA), University of Léon, 24071, León, Spain. Electronic address: pgarcl@unileon.es.
  • Suárez-Seoane S; University of Oviedo. Department of Organisms and Systems Biology (Ecology Unit) and Research Unit of Biodiversity (UO-CSIC-PA), Oviedo, Mieres, Spain.
  • Fernández-Manso A; Agrarian Science and Engineering Department, University of León, Av. Astorga s/n, 24400, Ponferrada, Spain.
  • Quintano C; Electronic Technology Department, Sustainable Forest Management Research Institute, University of Valladolid, Spanish National Institute for Agriculture and Food Research and Technology (INIA), C/Francisco Mendizábal s/n, 47014, Valladolid, Spain.
  • Calvo L; Biodiversity and Environmental Management Dpt., Faculty of Biological and Environmental Sciences, University of León, Campus de Vegazana s/n, 24071, León, Spain; Institute of Environmental Research (IMA), University of Léon, 24071, León, Spain.
J Environ Manage ; 271: 110706, 2020 Oct 01.
Article em En | MEDLINE | ID: mdl-32778251
ABSTRACT
Severe fires associated to climate change and land cover changes are becoming more frequent in Mediterranean Europe. The influence of environmental drivers on fire severity, especially under different environmental conditions is still not fully understood. In this study we aim to determine the main environmental variables that control fire severity in large fires (>500 ha) occurring in fire-prone ecosystems under two different environmental conditions following a transition (Mediterranean-Oceanic)-Mediterranean climatic gradient within the Iberian Peninsula, and to provide management recommendations to mitigate fire damage. We estimated fire severity as the differenced Normalized Burn Ratio, through images obtained from Landsat 8 OLI. We also examined the relative influence of pre-fire vegetation structure (vegetation composition and configuration), pre-fire weather conditions, fire history and topography on fire severity using Random Forest machine learning algorithms. The results indicated that the severity of fires occurring along the transition (Mediterranean-Oceanic)-Mediterranean climatic gradient was primarily controlled by pre-fire vegetation composition. Nevertheless, the effect of vegetation composition was strongly dependent on interactions with fire recurrence and pre-fire vegetation structural configuration. The relationship between fire severity, weather and topographic predictors was not consistent among fires occurring in the Mediterranean-Oceanic transition and Mediterranean sites. In the Mediterranean-Oceanic transition site, fire severity was determined by weather conditions (i.e., summer cumulative rainfall), rather than being associated to topography, suggesting that the control exerted by topography may be overwhelmed by weather controls. Conversely, results showed that topography only had a major effect on fire severity in the Mediterranean site. The results of this study highlight the need to prioritise fuel treatments aiming at breaking fuel continuity and reducing fuel loads as an effective management strategy to mitigate fire damage in areas of high fire recurrence.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tempo (Meteorologia) / Ecossistema Tipo de estudo: Guideline / Prognostic_studies País como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tempo (Meteorologia) / Ecossistema Tipo de estudo: Guideline / Prognostic_studies País como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article