2019
DOI: 10.1016/j.jenvman.2018.09.107
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The role of short-term weather conditions in temporal dynamics of fire regime features in mainland Spain

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Cited by 25 publications
(16 citation statements)
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“…The Canadian Forest Fire Weather Index System (CFFWIS) (van Wagner and Pickett, 1985;Van Wagner, 1987), has been used to model current and future fire activity, as well as to help forest and fire managers as well as national authorities in prevention and suppression activities all over the world (Li et al, 2008;Wotton, 2009;Flannigan et al, 2013Flannigan et al, , 2016 and, especially, in the Mediterranean (Amatulli et al, 2013;Pereira et al, 2013;Bedia et al, 2014). More recently, Jimenez-Ruano et al (2018) studied several fire weather danger rating indices, including the Fire Weather Index (FWI), concluding that these indices could provide useful information about upcoming fire activity up to two months ahead of time, and that they could explain seasonal variability but not necessarily ongoing trends. On the other hand, Pérez-Sánchez et al (2017) showed that the FWI is the most suitable index for semiarid regions, such as SE Iberia.…”
Section: Introductionmentioning
confidence: 99%
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“…The Canadian Forest Fire Weather Index System (CFFWIS) (van Wagner and Pickett, 1985;Van Wagner, 1987), has been used to model current and future fire activity, as well as to help forest and fire managers as well as national authorities in prevention and suppression activities all over the world (Li et al, 2008;Wotton, 2009;Flannigan et al, 2013Flannigan et al, , 2016 and, especially, in the Mediterranean (Amatulli et al, 2013;Pereira et al, 2013;Bedia et al, 2014). More recently, Jimenez-Ruano et al (2018) studied several fire weather danger rating indices, including the Fire Weather Index (FWI), concluding that these indices could provide useful information about upcoming fire activity up to two months ahead of time, and that they could explain seasonal variability but not necessarily ongoing trends. On the other hand, Pérez-Sánchez et al (2017) showed that the FWI is the most suitable index for semiarid regions, such as SE Iberia.…”
Section: Introductionmentioning
confidence: 99%
“…Different methods have been developed, tested and used to detect clustering patterns in fire incidence (Pereira et al, 2015;Tonini et al, 2016;Kanevski and Pereira, 2017). Several studies developed zoning approaches with the purpose of identifying regions with similar fire regime, using different fire data analysis, such as burnt area tendency (Silva et al, 2019), intraannual pattern of burnt area (Sousa et al, 2015;Trigo et al, 2016), fire activity and fire weather risk (Jimenez-Ruano et al, 2018) or other variables that affect fire (Moreno and Chuvieco, 2013). These studies show that the analysis of existing burnt area and meteorological data for the last few decades can help to detect the impacts of recent climate changes on fire weather danger and risk and, perhaps more importantly, on fire regimes.…”
Section: Introductionmentioning
confidence: 99%
“…Fire occurrence is generally low in alpine ecosystems under present climatic conditions and land use patterns in the Pyrenees. However, fire activity has changed over time (Jiménez-Ruano et al, 2019) and may have been a more frequent disturbance over the last millennia, with different climatic settings and more intense human activities. In fact, human activities have been modifying natural fire regimes through changing land use (Pausas and Keeley, 2014) since centuries or even millennia (Carracedo et al, 2017;Morales-Molino et al, 2017), using fire as a tool in land management.…”
Section: Introductionmentioning
confidence: 99%
“…Consequently, outputs of fire weather systems benefit from regional interpretation and statistical evaluation against historical fire activity that lead to probabilistic assessments of fire likelihood and threshold values to define fire danger classes [5,11]. In Europe, the CFFWIS has been calibrated to depict distinct fire activity levels [12][13][14][15] and has been used to model fire activity (number of fires, burned area) across various spatiotemporal scales [16][17][18][19][20][21][22][23] and to assess the likelihood and characteristics of large fires [24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%