Forest ecosystems play multiple important roles in meeting the habitat needs of different organisms and providing a variety services to humans. Biodiversity is one structural features dynamic complex forest ecosystems. One most challenging issues assessing understanding relationship between biodiversity environmental factors. The aim this study was investigate effect biotic abiotic factors on t...

Many pozzolans are waste products from industrial processes. Every year a huge amount of coal is gathered the washing plant in Hyrcanian forests Iran. These materials can be used for soil stabilization construction and maintenance projects forest roads. This paper aims to (a) investigate role (CW) as stabilizer (b) determine changes specification regarding environmental pollution different comb...

The increase in environmental and human-related changes (e.g., the carbon cycle flux of plants) has increased dynamism ecosystems. Examining fluctuations net primary production (NPP) is very important adopting correct strategies for ecosystem management. current study explores spatiotemporal variations NPP its association with agricultural droughts Iran’s ecosystems over 20 years (2000–2020). M...

background and objectives: plants belonging to the genus tilia l. (tiliaceae) are often tall beautiful trees which are considered for various medicinal potentials of their flowers and leaves. the present study was an attempt to investigate the phytochemical constituents of tilia rubra subsp. caucasica leaves from the hyrcanian forests of north of iran. methods: chromatography on silica gel (nor...

forest cover is one of the most effective factors in reducing flooding in northern iran, so that in recent years the destruction, land use changing and uncontrolled harvesting of forest areas, has greatly increased the number and magnitude of floods. so far, there have been few studies on forest hydrology in iran, particularly the northern hyrcanian forests. this study examines the impact of a ...

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...

We modeled 10-year net stand volume growth with four machine learning (ML) methods, i.e., artificial neural networks (ANN), support vector machines (SVM), random forests (RF), and nearest neighbor analysis (NN), linear regression analysis. Incorporating interactions of multiple variables, the ML methods ANN SVM predicted nonlinear system behavior unraveled complex relations greater accuracy tha...