Using FlamMap to assess wildfire behavior in Bohemian Switzerland National Park

Lucie Kudláčková (), Markéta Poděbradská, Monika Bláhová, Emil Cienciala, Jana Beranová, Charles McHugh, Mark Finney, Jan Novotný, Pavel Zahradníček, Petr Štěpánek, Rostislav Linda, Miroslav Pikl, Dana Vébrová, Martin Možný, Peter Surový, Zdeněk Žalud and Miroslav Trnka
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Lucie Kudláčková: Global Change Research Institute of the Czech Academy of Sciences
Markéta Poděbradská: Global Change Research Institute of the Czech Academy of Sciences
Monika Bláhová: Global Change Research Institute of the Czech Academy of Sciences
Emil Cienciala: Global Change Research Institute of the Czech Academy of Sciences
Jana Beranová: IFER – Institute of Forest Ecosystem Research, Ltd.
Charles McHugh: US Forest Service, USDA
Mark Finney: US Forest Service, USDA
Jan Novotný: Global Change Research Institute of the Czech Academy of Sciences
Pavel Zahradníček: Global Change Research Institute of the Czech Academy of Sciences
Petr Štěpánek: Global Change Research Institute of the Czech Academy of Sciences
Rostislav Linda: Forestry and Game Management Research Institute
Miroslav Pikl: Global Change Research Institute of the Czech Academy of Sciences
Dana Vébrová: Bohemian Switzerland National Park
Martin Možný: Global Change Research Institute of the Czech Academy of Sciences
Peter Surový: Czech University of Life Sciences
Zdeněk Žalud: Global Change Research Institute of the Czech Academy of Sciences
Miroslav Trnka: Global Change Research Institute of the Czech Academy of Sciences

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 4, No 34, 3943-3977

Abstract: Abstract The 2022 summer fire in the Bohemian Switzerland National Park (BSNP) is the largest in the 30-year recorded history of the Czech Republic, with an affected area of over 1000 ha. The FlamMap fire modeling system was used to investigate the fire behavior in the BSNP and to evaluate scenarios under a range of fuel types, fuel moistures, and weather conditions. The model was used to simulate fire conditions, propagation, and extent. We focused on matching the observed fire perimeter and fire behavior characteristics. The fire occurred in a region of the BSNP heavily affected by Spruce bark beetle (Ips typographus L.) infestation; hence, most of the burned area encompassed dead spruce forest (Picea abies Karst.). The best FlamMap simulations of the observed fire behavior and progression were compared with several created scenarios exhibiting various input conditions. These scenarios included a fire in a healthy spruce forest, clearcuts, or different meteorological conditions. We could calibrate and use FlamMap to recreate the 2022 summer wildfire in the BSNP under the observed conditions. It was found that the fire would have likely spread to the observed final perimeter even if standing dead trees had been removed, albeit at a lower fire intensity and with a considerably shorter duration. Alternatively, if healthy standing vegetation with a closed canopy had been present, the wildfire perimeter would have reached approximately half the observed value. Similar results were obtained for both the non-native spruce forest and deciduous forest, which is a native alternative.

Keywords: Wildfire; Czech Republic; Dead spruce fire; FlamMap; FARSITE; Modeling (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11069-023-06361-8

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