Surface Wildfire Regime and Simulation-Based Wildfire Exposure in the Golestan National Park, NE Iran

R Jahdi, V Bacciu, M Salis, L Del Giudice, A Cerdà - Fire, 2023 - mdpi.com
This research analyzes the spatiotemporal patterns of wildfire regime attributes (eg,
seasonality, size, frequency, and burn rate) across the Golestan National Park (GNP) …

[HTML][HTML] Response of Fuel Characteristics, Potential Fire Behavior, and Understory Vegetation Diversity to Thinning in Platycladus orientalis Forest in Beijing, China

M Gao, S Chen, A Suo, F Chen, X Liu - Forests, 2024 - mdpi.com
Objective: Active fuel management operations, such as thinning, can minimize extreme
wildfire conditions while preserving ecosystem services, including maintaining understory …

Environmental effects of a management method used after fire on development of temperate Scots pine ecosystem: a 15-year study from Poland

P Sewerniak, M Markiewicz, P Tarnawska… - Environmental …, 2023 - Springer
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 …

Contrasting patterns and interpretations between a fire spread simulator and a machine learning model when mapping burn probabilities: A case study for …

JM Costa-Saura, D Spano, C Sirca, V Bacciu - Environmental Modelling & …, 2023 - Elsevier
Two main approaches are commonly used to map fire-prone areas when designing
firefighting and prevention campaigns: fire spread simulators and machine learning models …

Satellite-based phenology analysis of the Hyrcanian forest in the Alborz mountains and Caspian Sea shores, Iran

S Ghadimi, AH Ahrari, ER Patro, M Akbari… - … Journal of Water …, 2024 - Taylor & Francis
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 …

MTTfireCAL package for R—an innovative, comprehensive, and fast procedure to calibrate the MTT fire spread modelling system

BA Aparício, A Benali, JMC Pereira, ACL Sá - Fire, 2023 - mdpi.com
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 …

Performance Analysis of ConvLSTM, FlamMap, and CA Algorithms to Predict Wildfire Spread in Golestan National Park, NE Iran

MWA Khalaf, SS Jouibary, R Jahdi - Environmental Modeling & …, 2024 - Springer
Wildfires are significant natural hazards threatening lives, property, and the environment.
Modeling and predicting wildfire spread are crucial for effective fire management and …