TY - JOUR
T1 - Modelling wildfire occurrence at regional scale from land use/cover and climate change scenarios
AU - Vilar, L.
AU - Herrera, S.
AU - Tafur-García, E.
AU - Yebra, M.
AU - Martínez-Vega, J.
AU - Echavarría, P.
AU - Martín, M. P.
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/11
Y1 - 2021/11
N2 - Wildfire occurrence is expected to increase in future climate and Land Use Land Cover (LULC) change scenarios, especially in vulnerable areas as the European Mediterranean Basin. In this study future probability of wildfire occurrence was estimated for a 20-year time period (2041–2060, centered on 2050) by applying a statistically-based regression model using LULC-derived contact areas with the forest cover (interfaces) as proxy for the human-related factor and a combination of Live Fuel Moisture Content and seasonal climate-related variables as predictors. Future wildfire occurrence was mapped under RCP 8.5 high emissions scenario in four Spanish regions with heterogeneous socioeconomic, LULC and natural fire-related characteristics at 1 km2 target spatial resolution. Results showed increased wildfire probability in ∼19–73% of 1 km2 cells, observing regional differences in the variable effects. This approach could be applied to other spatial scales offering tools for planning and management actions and to obtain different possible future scenarios.
AB - Wildfire occurrence is expected to increase in future climate and Land Use Land Cover (LULC) change scenarios, especially in vulnerable areas as the European Mediterranean Basin. In this study future probability of wildfire occurrence was estimated for a 20-year time period (2041–2060, centered on 2050) by applying a statistically-based regression model using LULC-derived contact areas with the forest cover (interfaces) as proxy for the human-related factor and a combination of Live Fuel Moisture Content and seasonal climate-related variables as predictors. Future wildfire occurrence was mapped under RCP 8.5 high emissions scenario in four Spanish regions with heterogeneous socioeconomic, LULC and natural fire-related characteristics at 1 km2 target spatial resolution. Results showed increased wildfire probability in ∼19–73% of 1 km2 cells, observing regional differences in the variable effects. This approach could be applied to other spatial scales offering tools for planning and management actions and to obtain different possible future scenarios.
KW - Business-as-usual scenario
KW - Climate change initiative-land cover
KW - Coupled model intercomparison project 5 (CMIP5)
KW - LFMC
KW - Land use land cover interfaces
KW - Wildland urban interface
UR - http://www.scopus.com/inward/record.url?scp=85114910700&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2021.105200
DO - 10.1016/j.envsoft.2021.105200
M3 - Article
SN - 1364-8152
VL - 145
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 105200
ER -