Reduction of soil heavy metal bioavailability by nanoparticles and cellulosic wastes improved the biomass of tree seedlings

Machine learning prediction of tree species diversity using forest structure and environmental factors: a case study from the Hyrcanian forest, Iran

Soil respiration and carbon stock responses to land use changes in the temperate forest of northern Iran

Modeling habitat suitability of Quercus castaneifolia in the Hyrcanian forest: a comprehensive integration of environmental factors for conservation insights

Machine learning methods for basal area prediction of Fagus orientalis Lipsky stands based on national forest inventory

Modeling drought intensity in the hyrcanian forest using machine learning and environmental variables