Abstract

Forest fires (wildfires) have become a major concern for several environmental experts. Assessment of fire effects at local scale is increasingly considered a critical aspect of ecosystem functioning, since fire plays a crucial role in vegetation composition, biodiversity, soil erosion and the hydrological cycle. At global scale, fire is the most generalized means of transforming tropical forest in agricultural areas, and it has severe impacts on global atmospheric chemistry. Fire is a natural factor in many climates with high levels of vegetation stress. However, changes in traditional land use such as hunting, charcoal production, inefficient logging practices and rural abandonment patterns, which have been identified as major causes of wild fires, have recently modified the incidence of fire. Several assessment techniques and methods have been developed to help model and evaluate forest fire risk and hazard. There is the need to identify a method or combination of methods to help model forest fire risk and hazard to enable the sustainability of the natural resources. In this paper, the various methods are reviewed in order to enhance the use of appropriate method(s) for forest fire risk and hazard management. From the review and deductions of the methods, it was concluded that spatial multi-criteria modelling and evaluation (SMCME) of fire risk and hazard is preferred. It was also deduced that combination of SMCME with other methods has proven to be more efficient and effective when compared with the use of individual methods. Key words: Forest fires, risk, hazard, management.

Highlights

  • Wildfires are inevitable companions of forests and foresters across the world and its spread revolves around four main factors: (i) the state and nature of the fuel, that is, proportion of live or dead vegetation, compactness, morphology, species, density, stratification and moisture content (ii) the physical environment, that is, weather conditions and topography (iii) causal factors and (iv) means of prevention and suppression

  • Fire hazard is defined by both (i) and (ii) and has two types of variations: a spatial and long-term one, related to fuel types and topography and a temporal and short-term one, related to fuel moisture content and weather conditions

  • This paper seeks to review the various methods that are being used to model and evaluate forest fire risk and hazard in order to enhance the appropriate adoption of method(s) for effective and efficient prevention, control and complete elimination of wildfires in the fragile ecosystem

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Summary

INTRODUCTION

Wildfires are inevitable companions of forests and foresters across the world and its spread revolves around four main factors: (i) the state and nature of the fuel, that is, proportion of live or dead vegetation, compactness, morphology, species, density, stratification and moisture content (ii) the physical environment, that is, weather conditions and topography (iii) causal factors (human-or natural-related) and (iv) means of prevention and suppression. The applications of GIS to fire risk modelling have considered a wide range of hazard variables, depending on the specific characteristics of fire events in the different test sites It can be summarised into several important variables, such as topography (elevation, slope, aspect and illumination), vegetation (fuel type, moisture content), weather patterns (temperature, relative humidity, wind and precipitation), accessibility to roads and camping sites, land property type, distance to cities, soils, fire history and water availability. This paper seeks to review the various methods that are being used to model and evaluate forest fire risk and hazard in order to enhance the appropriate adoption of method(s) for effective and efficient prevention, control and complete elimination of wildfires in the fragile ecosystem

METHODS
The risk value matrix method
Design Phase
CONCLUSION
Full Text
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