At the global and regional scales, green vegetation cover has the ability to affect the climate
and land surface fluxes. Climate is an important factor which plays an important role in …

This study primarily aims to produce forest fire susceptibility maps for the Manavgat district of
Antalya province in Turkey using different machine learning (ML) techniques. Forest fire …

Renewable energy sources are the most necessitated natural energy to reduce fossil fuels
globally. Fossil fuel is the most valuable and limited resource on the planet, but on the other …

Forest fires are among the major natural disasters that destroy the balance of forest
ecosystems. The construction of a forest fire prediction model to investigate the driving …

Background The present study was conducted to explore the diversity pattern of spring
vegetation under the influence of topographic and edaphic variables in sub-tropical zone …

Abstract In Syria, soil erosion (SoEr) by water is one of the major challenges for
sustainability. Thus, the main goals of this research were to evaluate the spatial changes of …

Landslide vulnerability prediction maps are among the most important tools for managing
natural hazards associated with slope stability in river basins that affect ecosystems …

Urban waste disposal is a problem that poses a major challenge to city planners as a result
of rapid population growth and urbanization. Finding suitable sites for solid waste is one of …

In this study, the generalized linear model (GLM) and four ensemble methods (partial least
squares (PLS), boosting, bagging, and Bayesian) were applied to predict forest fire hazard …

Context It is essential to assess the suitable habitat for elephants in order to mitigate the
effects of forest fragmentation on conservation. Aims This study aimed to estimate the …