Forest fires represent a critical global threat to both humans and ecosystems. This study
examines the intensity and impacts of Chilgoza (Pinus gerardiana) Pine Forest fires by using …

Forest fires (FF) in tropical seasonal forests impact ecosystem. Addressing FF in tropical
ecosystems has become a priority to mitigate impacts on biodiversity loss and climate …

Pine flatwoods forests in the southeastern US have experienced severe wildfires over the
past few decades, often attributed to fuel load build-up. These forest communities are fire …

Predicting and mapping fire susceptibility is a top research priority in fire-prone forests
worldwide. This study evaluates the abilities of the Bayes Network (BN), Naïve Bayes (NB) …

The subjective and empirical setting of hyperparameters in the random forest (RF) model
may lead to decreased model performance. To address this, our study applies the particle …

Forest fires pose significant challenges by disrupting ecological balance, impacting socio-
economic harmony, and raising global concerns. North-East India (NEI) experiences high …

This study's main objective is to propose a hybrid machine learning model based on a
gradient boosting algorithm named LightGBM and an artificial ecosystem-based …

Forest fire prevention is important because of human communities near forests or in the
wildland-urban interfaces. Short-term forest fire danger rating prediction is an effective way …

Increasing numbers and intensity of forest fires indicate that forests have become
susceptible to fires in the tropics. We assessed the susceptibility of forests to fire in India by …

Forest fires are disasters that are common around the world. They pose an ongoing
challenge in scientific and forest management. Predicting forest fires improves the levels of …