2016
DOI: 10.1111/risa.12739
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Assessing Climate Change Impacts on Wildfire Exposure in Mediterranean Areas

Abstract: We used simulation modeling to assess potential climate change impacts on wildfire exposure in Italy and Corsica (France). Weather data were obtained from a regional climate model for the period 1981-2070 using the IPCC A1B emissions scenario. Wildfire simulations were performed with the minimum travel time fire spread algorithm using predicted fuel moisture, wind speed, and wind direction to simulate expected changes in weather for three climatic periods (1981-2010, 2011-2040, and 2041-2070). Overall, the wil… Show more

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Cited by 79 publications
(45 citation statements)
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References 79 publications
(104 reference statements)
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“…There are major potential shortfalls because these ratings do not consider risk from large fires, the potential exposure created by these events or the impact of wildfire intensity on ecosystems or human communities in a detailed spatial context (Miller and Ager 2013). The integration of the proposed methodology at a regional level in the national risk assessment plan can provide quantitative metrics of exposure and vulnerability, similar to other studies in Italy (Salis et al 2015;Lozano et al 2017) and France (Ager et al 2014). To develop a new national strategy, it is necessary to understand the differences and similarities of both wildfire behaviour and biophysical context across the country's different regions.…”
Section: Discussionmentioning
confidence: 96%
“…There are major potential shortfalls because these ratings do not consider risk from large fires, the potential exposure created by these events or the impact of wildfire intensity on ecosystems or human communities in a detailed spatial context (Miller and Ager 2013). The integration of the proposed methodology at a regional level in the national risk assessment plan can provide quantitative metrics of exposure and vulnerability, similar to other studies in Italy (Salis et al 2015;Lozano et al 2017) and France (Ager et al 2014). To develop a new national strategy, it is necessary to understand the differences and similarities of both wildfire behaviour and biophysical context across the country's different regions.…”
Section: Discussionmentioning
confidence: 96%
“…, Lozano et al. ). Additional parameters required by FlamMap are energy release component (ERC), wind speed, wind direction, and fuel moisture of live and dead fuels.…”
Section: Methodsmentioning
confidence: 99%
“…Flam-Map simulates fire growth (fire perimeters) and fire intensity (flame length) over a landscape that results from converting polygon-based IDU information on surface fuels, canopy fuels, and topography into an ASCII grid with 90-m spatial resolution. It relies on the minimum travel time algorithm, a mathematical model that is the basis for fire growth and behavior calculations in several wildfire modeling applications used in the USA and elsewhere (Finney et al 2011, Alcasena et al 2015, Oliveira et al 2016, Lozano et al 2017. Additional parameters required by Flam-Map are energy release component (ERC), wind speed, wind direction, and fuel moisture of live and dead fuels.…”
Section: Wildfire Submodelmentioning
confidence: 99%
“…Due to climate change and development, wildfire emissions are expected to increase an additional 19–101% in California through 2100 (Hurteau et al, 2014). Increasing numbers of wildfires and acreage burned is also expected to increase across the western United States and Europe (Abatzoglou and Williams, 2016; Lozano et al, 2016). …”
Section: Introductionmentioning
confidence: 99%