Data

Ecoregion flammability thresholds: The global pyrogeography of dead fine fuel moisture content as a driver for wildfire activity

University of Tasmania, Australia
Todd Ellis ; Grant Williamson ; David Bowman
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://data.utas.edu.au/metadata/0197b2f2-952a-4073-af90-2926c2aa51a0&rft.title=Ecoregion flammability thresholds: The global pyrogeography of dead fine fuel moisture content as a driver for wildfire activity&rft.identifier=https://data.utas.edu.au/metadata/0197b2f2-952a-4073-af90-2926c2aa51a0&rft.publisher=University of Tasmania, Australia&rft.description=We identify the ecoregion flammability thresholds (EFTs) and the associated inflection point slope estimates (IPSEs) controlling landscapes' potential to burn for 791 distinct ecoregions. These thresholds were identified using a combination of: 1) the Terrestrial Ecosystems of the World regional classification system designating landscapes into hierarchical realms, biomes, and ecoregions; 2) ERA5 atmospheric reanalysis data to calculate dead fine fuel moisture content (DFFMC: %) using the Canadian Fire Weather Index (FWI) system; and 3) Moderate Resolution Imaging Spectroradiometer (MODIS) MCD64CMQ burnt area product. Nonlinear least squares regression formulae were fit to the association between an ecoregion's 25th percentile of DFFMC and the cumulative proportion of burnt area below a given value of DFFMC. Both the inflection point and reciprocal of the model scaling parameter were then extracted from the formulae and represent essential fuel moisture-fire threshold characteristics.&rft.creator=Todd Ellis &rft.creator=Grant Williamson &rft.creator=David Bowman &rft.date=2023&rft_rights=Attribution - NonCommercial - Share Alike(BY - NC - SA) http://creativecommons.org/licenses/by-nc-sa/4.0/&rft_subject=Biogeography and phylogeography&rft_subject=Evolutionary biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Fire ecology&rft_subject=Ecological applications&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Forestry fire management&rft_subject=Forestry sciences&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Climatology&rft_subject=Climate change science&rft_subject=EARTH SCIENCES&rft_subject=Climate change processes&rft_subject=Climatological hazards (e.g. extreme temperatures, drought and wildfires)&rft_subject=Natural hazards&rft_subject=ENVIRONMENTAL POLICY, CLIMATE CHANGE AND NATURAL HAZARDS&rft_subject=Ecosystem adaptation to climate change&rft_subject=Adaptation to climate change&rft_subject=Understanding the impact of natural hazards caused by climate change&rft_subject=Understanding climate change&rft_subject=climate change&rft_subject=biogeography&rft_subject=fire risk&rft_subject=fuel moisture&rft_subject=pyrogeography&rft.type=dataset&rft.language=English Access the data

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We identify the ecoregion flammability thresholds (EFTs) and the associated inflection point slope estimates (IPSEs) controlling landscapes' potential to burn for 791 distinct ecoregions. These thresholds were identified using a combination of: 1) the Terrestrial Ecosystems of the World regional classification system designating landscapes into hierarchical realms, biomes, and ecoregions; 2) ERA5 atmospheric reanalysis data to calculate dead fine fuel moisture content (DFFMC: %) using the Canadian Fire Weather Index (FWI) system; and 3) Moderate Resolution Imaging Spectroradiometer (MODIS) MCD64CMQ burnt area product. Nonlinear least squares regression formulae were fit to the association between an ecoregion's 25th percentile of DFFMC and the cumulative proportion of burnt area below a given value of DFFMC. Both the inflection point and reciprocal of the model scaling parameter were then extracted from the formulae and represent essential fuel moisture-fire threshold characteristics.

Data time period: 1971-01 to 2019-12

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