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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...

Ausführliche Beschreibung

Gespeichert in:
Format: Online
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2022
Schlagworte:
fire danger rating
fire management
fire regime
fire size
fire weather
Portugal
critical LFMC threshold
forest/grassland fire
radiative transfer model
remote sensing
southwest China
acid rain
aerosol
biomass burning
forest fire
PM2.5
direct estimation
meteorological factor regression
moisture content
time lag
forest fire driving factors
forest fire occurrence
random forest
forest fire management
China
Cupressus sempervirens
fire risk
fuels
fuel moisture content
mass loss calorimeter
Seiridium cardinale
vulnerability to wildfires
disease
alien pathogen
allochthonous species
introduced fungus
drying tests
humidity diffusion coefficients
wildfire
prescribed burning
modeling
drought
flammability
fuel moisture
leaf water potential
plant traits
climate change
MNI
fire season
fire behavior
crown fire
fire modeling
senescence
foliar moisture content
canopy bulk density
fire danger
fire weather patterns
RCP
FWI system
SSR
occurrence of forest fire
machine learning
variable importance
prediction accuracy
epicormic resprouter
eucalyptus
fire severity
flammability feedbacks
temperate forest
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries::KNAL Forestry industry
Online-Zugang:ONIX_20220111_9783036514741_190
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