Citation

Yee, Jian Chew and Ooi, Shih Yin and Pang, Ying Han and You Lim, Zheng (2026) A Review of Key Factors Influencing Forest Fire and Wildfire Susceptibility: The Role of Climatic, Environmental, Topographic, and Anthropogenic Variables. Pertanika Journal of Tropical Agricultural Science, 49 (2). ISSN 2231-8542

Full text not available from this repository.

Abstract

Forest fires represent a significant environmental and socio-economic challenge, driven by the complex interplay of climatic, topographic, and anthropogenic factors. Many studies have utilised a wide range of fire-influencing variables, such as temperature, precipitation, wind speed, elevation, and others, to model fire susceptibility maps and develop predictive models. However, these studies often assume that readers are already familiar with the underlying mechanisms that link these factors to fire occurrence, without providing detailed explanations of how each variable contributes to ignition probability and fire spread. This paper aims to address this gap by offering an accessible and comprehensive synthesis of key variables influencing forest fire susceptibility. Based on findings from previous systematic reviews and recent literature, 22 critical fire factors are categorised into three groups: climatic and environmental factors, topographic variables, and anthropogenic influences. For each factor, intuitive explanations of its relationship with fire occurrence are provided to guide hypothesis-driven feature selection for fire mapping and modelling. Crucially, this review emphasises that while these factors are globally prevalent, their application requires statistical validation to account for regional differences in fire regimes. By clarifying the mechanisms behind fire-influencing factors, this review supports more robust fire risk assessments and informs evidence-based strategies for wildfire prevention and management.

Item Type:	Article
Uncontrolled Keywords:	Anthropogenic influences, climatic variables, fire modelling, fire susceptibility mapping, remote sensing, topographic variables, wildfire prediction, wildfire risk factors
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	04 Jun 2026 03:48
Last Modified:	04 Jun 2026 03:59
URII:	http://shdl.mmu.edu.my/id/eprint/15919

Downloads

Edit (login required)