Forested environments are subject to large and high intensity unplanned fire events, owing
to, among other factors, the high quantity and complex structure of fuel in these …

Wildfire is an important system process of the earth that occurs across a wide range of
spatial and temporal scales. A variety of methods have been used to predict wildfire …

The degree of accuracy in model predictions of rate of spread in wildland fires is dependent
on the model's applicability to a given situation, the validity of the model's relationships, and …

Key message The collective analysis of a relatively large number of wildfire observations
documented in conifer forests, dry eucalypt forests and temperate shrublands revealed that …

Abstract Models that predict wildfire rate of spread (ROS) play an important role in decision-
making during firefighting operations, including fire crew placement and timing of community …

Global warming and the subsequent increase in the frequency and severity of wildfires
demand for specialized risk assessment and management methodologies to cope with the …

The knowledge of a free-burning fire's potential rate of spread is critical for safe and effective
bushfire control and use. A number of models for predicting the head-fire rate of spread in …

Along with the increase in the frequency of disastrous wildfires and bushfires around the
world during the recent decades, scholarly research efforts have also intensified in this …

Increased fire size and frequency coupled with annual grass invasion pose major
challenges to sagebrush (Artemisia spp.) ecosystem conservation, which is currently …

Simulation frameworks are necessary to facilitate decision-making to many fire agencies. An
accurate estimation of fire behavior is required to analyze potential impact and risk. Applied …