Mapping the Most Susceptible Regions to Fire in Portugal

被引:9
作者
Ermitao, Tiago [1 ,2 ]
Pascoa, Patricia [1 ,2 ,3 ]
Trigo, Isabel [1 ,2 ]
Alonso, Catarina [1 ,4 ]
Gouveia, Celia [1 ,2 ]
机构
[1] Inst Portugues Mar & Atmosfera, Rua C Aeroporto, P-1749077 Lisbon, Portugal
[2] Univ Lisbon, Fac Ciencias, Inst Dom Luiz, P-1749016 Lisbon, Portugal
[3] Univ Vigo, Ctr Invest Marina, Environm Phys Lab, EPhysLab, Campus As Lagoas, Orense 32004, Spain
[4] Univ Tras Os Montes & Alto Douro, Ctr Res & Technol Agroenvironm & Biol Sci CITAB, P-5000801 Vila Real, Portugal
来源
FIRE-SWITZERLAND | 2023年 / 6卷 / 07期
关键词
fire susceptibility; fuel management; PCAs; fuel accumulation; vegetation productivity; land cover; CLIMATE-CHANGE; MEDITERRANEAN BASIN; FOREST-FIRES; DROUGHT; VEGETATION; LANDSCAPE; IMPACTS; VARIABILITY; WILDFIRES; SEVERITY;
D O I
10.3390/fire6070254
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Mediterranean European countries, including Portugal, are considered fire-prone regions, being affected by fire events every summer. Nonetheless, Portugal has been recording large burned areas over the last 20 years, which are not only strongly associated with hot and dry conditions, but also with high fuel availability in the ecosystems. Due to recent catastrophic fire seasons, Portugal has been implementing preventive policies during the pre-fire season, which, in turn, can optimize combat strategies during the fire season. In this context, our study contributes to fire prevention by identifying the regions with the highest potential to burn. The application of a Principal Component Analysis (PCA) to a range of climatological, ecological, and biophysical variables, either provided by remote sensing or reanalysis products, and known to be linked with diverse fire-vulnerability factors, allows the objective identification of the regions with the highest susceptibility to burn. The central and southernmost areas of Portugal present a stronger signal in the PCA, suggesting a likely high exposure to future fire events. The fuel accumulation over several months, in conjunction with elevation and fire weather conditions, are the terms out of the retained PCs that can explain most of the variability. The quality assessment performed for the burned areas in 2022 showed that they occurred in highly susceptible areas, highlighting the usefulness of the proposed methodology.
引用
收藏
页数:18
相关论文
共 64 条
[1]   Global Emergence of Anthropogenic Climate Change in Fire Weather Indices [J].
Abatzoglou, John T. ;
Williams, A. Park ;
Barbero, Renaud .
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (01) :326-336
[2]   Global patterns of interannual climate-fire relationships [J].
Abatzoglou, John T. ;
Williams, A. Park ;
Boschetti, Luigi ;
Zubkova, Maria ;
Kolden, Crystal A. .
GLOBAL CHANGE BIOLOGY, 2018, 24 (11) :5164-5175
[3]   Using Principal Component Analysis for information-rich socio-ecological vulnerability mapping in Southern Africa [J].
Abson, David J. ;
Dougill, Andrew J. ;
Stringer, Lindsay C. .
APPLIED GEOGRAPHY, 2012, 35 (1-2) :515-524
[4]  
Alonso C, 2019, NAT HAZARD EARTH SYS, V19, P2727, DOI [10.5194/nhess-19-2727-2019, 10.5194/nhess-19-2727-2019,2019]
[5]  
[Anonymous], 2021, COP DEM
[6]  
[Anonymous], 2022, ICNF REP
[7]   Climate change impacts on the vegetation carbon cycle of the Iberian PeninsulaIntercomparison of CMIP5 results [J].
Aparicio, Sara ;
Carvalhais, Nuno ;
Seixas, Julia .
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2015, 120 (04) :641-660
[8]   ARE HIGH SEVERITY FIRES INCREASING IN SOUTHERN AUSTRALIA? [J].
Bang Nguyen Tran ;
Tanase, Mihai A. ;
Bennett, Lauren T. ;
Aponte, Cristina .
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, :4630-4633
[9]   Climate change presents increased potential for very large fires in the contiguous United States [J].
Barbero, R. ;
Abatzoglou, J. T. ;
Larkin, N. K. ;
Kolden, C. A. ;
Stocks, B. .
INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2015, 24 (07) :892-899
[10]   Understanding the Impact of Different Landscape-Level Fuel Management Strategies on Wildfire Hazard in Central Portugal [J].
Benali, Akli ;
Sa, Ana C. L. ;
Pinho, Joao ;
Fernandes, Paulo M. ;
Pereira, Jose M. C. .
FORESTS, 2021, 12 (05)