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220822 ||| eng |
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|a 9783036514734
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|a books978-3-0365-1473-4
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|a 9783036514741
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1 |
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|a Nolan, Rachael
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|a Forest Fire Risk Prediction
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (235 p.)
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| 653 |
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|a epicormic resprouter
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| 653 |
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|a machine learning
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| 653 |
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|a canopy bulk density
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| 653 |
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|a fire season
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| 653 |
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|a eucalyptus
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| 653 |
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|a biomass burning
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| 653 |
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|a mass loss calorimeter
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| 653 |
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|a random forest
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| 653 |
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|a fire danger
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| 653 |
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|a forest fire driving factors
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| 653 |
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|a n/a
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| 653 |
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|a forest fire
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| 653 |
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|a leaf water potential
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| 653 |
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|a fire behavior
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| 653 |
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|a wildfire
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| 653 |
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|a time lag
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| 653 |
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|a fire danger rating
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| 653 |
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|a aerosol
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| 653 |
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|a southwest China
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| 653 |
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|a RCP
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| 653 |
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|a flammability
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| 653 |
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|a drought
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| 653 |
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|a critical LFMC threshold
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| 653 |
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|a humidity diffusion coefficients
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| 653 |
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|a meteorological factor regression
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| 653 |
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|a senescence
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| 653 |
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|a fuels
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| 653 |
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|a fire modeling
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| 653 |
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|a prescribed burning
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| 653 |
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|a fuel moisture
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| 653 |
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|a modeling
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| 653 |
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|a Forestry & related industries / bicssc
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| 653 |
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|a temperate forest
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| 653 |
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|a fire weather patterns
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| 653 |
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|a MNI
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| 653 |
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|a introduced fungus
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| 653 |
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|a fire weather
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| 653 |
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|a prediction accuracy
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| 653 |
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|a fire size
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| 653 |
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|a moisture content
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| 653 |
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|a fire risk
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| 653 |
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|a radiative transfer model
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| 653 |
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|a Research & information: general / bicssc
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| 653 |
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|a Cupressus sempervirens
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| 653 |
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|a flammability feedbacks
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| 653 |
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|a Biology, life sciences / bicssc
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| 653 |
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|a crown fire
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| 653 |
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|a occurrence of forest fire
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| 653 |
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|a FWI system
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| 653 |
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|a disease
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| 653 |
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|a China
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| 653 |
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|a direct estimation
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| 653 |
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|a remote sensing
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| 653 |
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|a fire management
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| 653 |
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|a acid rain
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| 653 |
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|a Seiridium cardinale
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| 653 |
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|a forest/grassland fire
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| 653 |
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|a forest fire occurrence
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| 653 |
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|a drying tests
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| 653 |
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|a climate change
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| 653 |
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|a plant traits
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| 653 |
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|a variable importance
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| 653 |
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|a PM2.5
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| 653 |
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|a alien pathogen
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| 653 |
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|a SSR
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| 653 |
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|a allochthonous species
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| 653 |
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|a Portugal
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| 653 |
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|a foliar moisture content
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| 653 |
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|a fire regime
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| 653 |
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|a fuel moisture content
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| 653 |
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|a vulnerability to wildfires
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| 653 |
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|a forest fire management
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| 653 |
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|a fire severity
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| 700 |
1 |
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|a Resco de Dios, Víctor
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| 700 |
1 |
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|a Nolan, Rachael
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| 700 |
1 |
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|a Resco de Dios, Víctor
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-1473-4
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/76454
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/3890
|7 0
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 551.6
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|a 000
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| 082 |
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|a 610
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|a 580
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|a 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 timescales (weeks or months) is required for land managers to target suppression resources in order to protect people, property, and infrastructure, as well as fire-sensitive ecosystems. Over longer timescales, prediction of changes in forest fire regimes is required to model the effect of wildfires on the terrestrial carbon cycle and subsequent feedbacks into the climate system.This was the motivation to publish this book, which is focused on quantifying and modelling the risk factors of forest fires. More specifically, the chapters in this book address four topics: (i) the use of fire danger metrics and other approaches to understand variation in wildfire activity; (ii) understanding changes in the flammability of live fuel; (iii) modeling dead fuel moisture content; and (iv) estimations of emission factors.The book will be of broad relevance to scientists and managers working with fire in different forest ecosystems globally.
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