Forest Fire Risk Prediction

Rachael Nolan, V´ictor Resco de Dios

ISBN 10: 3036514740 / ISBN 13: 9783036514741

Published by Mdpi AG, 2021

About this Item

Seller Inventory # LU-9783036514741

Bibliographic Details

• Title: Forest Fire Risk Prediction
• Publisher: Mdpi AG
• Publication Date: 2021
• Language: English
• ISBN 10: 3036514740
• ISBN 13: 9783036514741
• Binding: Hardback
• Condition: New
• Dimensions: 16.99W x 2.06H x 24.41D centimeters 16.99 centimeters width by 2.06 centimeters height by 24.41 centimeters depth
• Weight: 708 grams

About this title

Synopsis

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.