In this research, we used the integration of frequency ratio and adaptive neuro-fuzzy modeling (ANFIS) to predict landslide susceptibility along forest road networks in Hyrcanian Forest, northern Iran. We began our study by first mapping locations during an extensive field survey. addition, then selected landslide-conditioning factors, such as slope, aspect, altitude, rainfall, geology, soil, a...

Polypore fungi are an important group of wood-inhabiting basidiomycetes that have significant roles in biomass recycling in forests and woodland ecosystems. Figures on the polypore diversity in Iran have been partly made available through few checklists, but there have been no comparative studies on the pattern of geographic distribution of the species. The prevalence of the Mediterranean biocl...

In order to evaluate the possible correlation between the tree density and the human population density, the forested area in Nav Asalem district located in Guilan Province was selected. The descriptors of tree number and basal area per hectare as well as the stand density index were used to determine the tree density, which was conducted from a 2014 forest inventory including 62 cluster (558 p...

finding a minimum allowable radius length of a circle horizontal curve is essential to reduce earthwork cost or damage to the forest ecosystem, as well as make driving more comfortable. the present study is conducted i) to analyze different radius lengths of circle horizontal curves using an integrated approach consists of a civil3d in concert with the field surveys, and ii) to propose a set of...

forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. traditional methods such as field surveys are almost time-consuming and cost-intensive. improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. this research co...

Climate change has significant effects on forest ecosystems around the world. Since tree diameter increment determines volume and ultimately production, an accurate estimate of this variable under future climate is great importance for sustainable management. In study, we modeled current expected change, using multilayer perceptron (MLP) artificial neural networks linear mixed-effect model in t...

In this study, the capability of Landsat-8 (L8), Sentinel-2 (S2), Sentinel-1 (S1), and their combination was investigated for estimating aboveground biomass (AGB). A pure stand Fagus Orientalis located in Hyrcanian forest Iran selected as study area. The performance a parametric approach, i.e., Multiple Linear Regression (MLR) model non-parametric approaches, k-Nearest Neighbor (k-NN), Random F...