Forest Fire Risk Prediction

Forest Fire Risk Prediction

Globally, fire regimes are being altered by changing climatic conditions and land use changes. This has the potential to drive species extinctions and cause ecosystem state changes, with a range of consequences for ecosystem services. Accurate prediction of the risk of forest fires over short timesc...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Biology, life sciences
Forestry & related industries
Research & information: general
acid rain
aerosol
alien pathogen
allochthonous species
biomass burning
canopy bulk density
China
climate change
critical LFMC threshold
crown fire
Cupressus sempervirens
direct estimation
disease
drought
drying tests
epicormic resprouter
eucalyptus
fire behavior
fire danger
fire danger rating
fire management
fire modeling
fire regime
fire risk
fire season
fire severity
fire size
fire weather
fire weather patterns
flammability
flammability feedbacks
foliar moisture content
forest fire
forest fire driving factors
forest fire management
forest fire occurrence
forest/grassland fire
fuel moisture
fuel moisture content
fuels
FWI system
humidity diffusion coefficients
introduced fungus
leaf water potential
machine learning
mass loss calorimeter
meteorological factor regression
MNI
modeling
moisture content
n/a
occurrence of forest fire
plant traits
PM2.5
Portugal
prediction accuracy
prescribed burning
radiative transfer model
random forest
RCP
remote sensing
Seiridium cardinale
senescence
southwest China
SSR
temperate forest
time lag
variable importance
vulnerability to wildfires
wildfire
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Internet

Open Access: DOAB: description of the publication
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