Forest Fire Risk Prediction

Globally, fire regimes are being altered by changing climatic conditions andland use changes. This has the potential to drive species extinctions and causeecosystem state changes, with a range of consequences for ecosystem services.Accurate prediction of the risk of forest fires over short timescales (weeks ormonths) is required for land managers to target suppression resources in orderto protect people, property, and infrastructure, as well as fire-sensitive ecosystems.Over longer timescales, prediction of changes in forest fire regimes isrequired to model the effect of wildfires on the terrestrial carbon cycle and subsequentfeedbacks into the climate system.This was the motivation to publish this book, which is focused on quantifyingand modelling the risk factors of forest fires. More specifically, the chapters inthis book address four topics: (i) the use of fire danger metrics and other approachesto understand variation in wildfire activity; (ii) understanding changesin 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 withfire in different forest ecosystems globally.

Author:

Rachael Nolan|V ´ictor Resco de Dios

Publisher:

Mdpi AG

Publication Date:

Sep 30, 2021

Number of pages:

236 pages

Language:

English

Binding:

Hardcover

ISBN-10:

3036514740

ISBN-13:

9783036514741