Forest fires in Iran present a significant environmental concern, impacting diverse
ecosystems, human societies, and the economy. Encompassing approximately 7% of the …

Wildfires are significant natural hazards threatening lives, property, and the environment.
Modeling and predicting wildfire spread are crucial for effective fire management and …

This research analyzes the spatiotemporal patterns of wildfire regime attributes (eg,
seasonality, size, frequency, and burn rate) across the Golestan National Park (GNP) …

ABSTRACT The Caspian Sea and the Hyrcanian forest rely on each other to maintain
balanced hydrological and climatological conditions and preserve the local wildlife and …

Due to the ongoing climate changes, temperate forests are increasingly exposed to fires.
However, until now the functioning of post-fire temperate forest ecosystems with regard to …

Two main approaches are commonly used to map fire-prone areas when designing
firefighting and prevention campaigns: fire spread simulators and machine learning models …

Objective: Active fuel management operations, such as thinning, can minimize extreme
wildfire conditions while preserving ecosystem services, including maintaining understory …

Fire spread behavior models are used to estimate fire behavior metrics, fire hazard,
exposure, and risk across the landscape. One of the most widely used fire spread models is …

Extended Abstract IntroductionIn Iran, various fire spread models have been used to predict
fire behavior and spread at regional and local scales (Alhaj Khalaf, Shataee Joibary, Jahdi & …