Department of Forestry (2011 - Present)
Forestry
Forestry, University of Tehran, Karaj, Iran
Forestry
Forestry, University of Tehran, Karaj, Iran
Forestry
Forestry, University of Tehran, Karaj, Iran
Dr Seyed Jalil Alavi (born 1978 in Sari) is the academic staff of Forestry Department at Tarbiat Modares University of Tehran, teaching courses related to statistics in Faculty of Natural Resources. His research interest is mainly Ecological Modelling and Statistical Ecology.
English yew (Taxus baccata) is one of the few gymnospermous species present in the Hyrcanian forests, and it is listed as a rare and endangered species prone to extinction in Iran. This study aims to determine the ecological capability of Taxus baccata in the Hyrcanian region by identifying the diversity of plant communities dominated by this species, and to compare their floristic composition with the Taxus communities of southern Europe (Sicily, Corsica, Sardinia). We collected 408 relev?s in the central and eastern part of the Hyrcanian forests. The classification of plant communities was performed using TWINSPAN. Phi-coefficient index, constancy ratio, and the ratio of average cover were used to determine diagnostic species
Aims Traditional quantitative approaches to forest classification are based on differences in species abundance or incidence among communities. In these approaches, all species are regarded as biologically equidistant regardless of the biological heterogeneity. The objective of the study is to evaluate the potential of the “Discriminating Avalanche” approach, which integrates species abundance and biological heterogeneity, as a new basis for forest classification. Location China, India, Iran, Ukraine, Germany, Italy, Mexico, Peru, and South Africa. Method We illustrate our approach using a set of 35 large tree‐mapped forest plots from various regions of the world. Our dissimilarity matrices, which integrate species abundance wit
Aims: Generally, optical satellite images are used to produce a land use map. Due to spectral mixing, these data can affect the accuracy of land use classifications, especially in areas with diverse vegetation.Materials & Methods: In the present study, in order to achieve the correct land use classification in a mountainous-forested basin, four Landsat 8 thermal images were used with a few additional information (Normalized Difference Vegetation Index (NDVI), Digital Elevation Model (DEM), slope angle and slope aspect) along with optical data and data of multi-temporal images.Findings: Results showed that thermal data, slope angle and DEM have a significant role in increasing the accuracy of land use classification, so that they increase th
The Hyrcanian Forests, well-known for its World Heritage site in the South Caspian region of Northern Iran, are refugia for a special tree flora. Some areas in particular feature a concentration of large and numerous trees of Taxus baccata, a species that has attracted the interest of many researchers given its medicinal importance. The objective of this study was to analyze the biological and structural features of these unique ecosystems based on three large tree-mapped field plots using new methods. We developed a species abundance distribution and three species–area relations, and analyzed the small-scale structural patterns of each of the 15 tree species that occur in the plots. Species-specific details are presented for each of the
The Hyrcanian Forest region is rich in relict species, and endemic and endangered species. Although there are concerns about climate change, its influence on tree species in the Hyrcanian forests in the north of Iran is still unidentified. Taxus baccata is among the few conifer species found in the region, and the present study aims to evaluate the potential impact of climate change on the distribution of T. baccata. For this purpose, we used ensemble species distribution modeling with ten algorithms and based on two geographic extents (global and regional) and climate data for different climate change scenarios. For the regional extent, we calibrated the models in Hyrcanian forests including the three provinces in the north of Iran. For th
Iran's Hyrcanian forests cover a relatively narrow strip in the northeastern part of the country, and are among the most important and valuable ecosystems inscribed in United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage List. European yew Taxus baccata L. is a Tertiary relict in the region and a long‐lived dioecious tree with high ecological and economic importance in the Hyrcanian forests. To study the structure and analysing the survivorship of yew stands, we selected two forest reserves (Gazou and Afratakhteh) with European yew. In the two study areas, we established 165 0.1 ha circular sample plots (75 of the sample plots were in Gazou and 90 sample plots were in Afratakhteh) and measured three c
In this study, using four commonly used modeling methods for assessing the potential habitat of yew species (generalized linear and additive models, classification and regression tree and random forest) and maps of the bioclimatic and topographic, the suitability map of the yew species in Hyrcanian forests was prepared. The evaluation of models by using AUC criterion (GLM= 0. 863, GAM= 0. 871, CTA= 0. 781, and RF= 0. 922) showed that the random forest model has the best performance in which slope percentage and solar radiation index are the most and least important variables, respectively. The present study showed that the presence probability of yew species in relation to slope percentage in the study area increases from 30% and then level
The Hyrcanian Forest region is rich in relict species, and endemic and endangered species. Although there are concerns about climate change, its influence on tree species in the Hyrcanian forests in the north of Iran is still unidentified. Taxus baccata is among the few conifer species found in the region, and the present study aims to evaluate the potential impact of climate change on the distribution of T. baccata. For this purpose, we used ensemble species distribution modeling with ten algorithms and based on two geographic extents (global and regional) and climate data for different climate change scenarios. For the regional extent, we calibrated the models in Hyrcanian forests including the three provinces in the north of Iran. For th
This study aimed to predict flood zone in climate change conditions based on the fifth assessment report of the intergovernmental panel on climate change (IPCC) scenarios in the Talar watershed (Zirab city). To investigate the effect of climate change from six synoptic stations were used. Among the general circulation models (GCM), CanESM2 based on RCP 2. 6, RCP4. 5, and RCP8. 5 scenarios were applied for statistical downscaling of the maximum daily rainfall. To hydrologic and hydraulic simulation of flood were used from HEC-HMS and HEC-RAS models in the recent decades and the future. The results indicated that maximum daily rainfall will increase in the watershed. The results also showed that the increase in maximum daily rainfall in humid
Flood occurs as a result of high intensity and long-term rainfalls accompanied by snowmelt which flow out of the main river channel onto the flood prone areas and damage the buildings, roads, and facilities and cause life losses. This study aims to implement extreme gradient boosting (EGB) method for the first time in flood susceptibility modelling and compare its performance with three advanced benchmark models including Frequency Ratio (FR), Random Forest (RF), and Generalized Additive Model (GAM). Flood susceptibility map is an efficient tool to make decision for flood control. To do this, the altitude, slope degree, profile curvature, topographic wetness index (TWI), distance from rivers, normalized difference vegetation index, plan cur
?valuation de la hauteur dominante du h?tre oriental (Fagus orientalis L.) par rapport aux variables ?daphiques et physiographiques dans les for?ts hyrcaniennes d'Iran
The studies show that the mean temperature of the Hyrcanian region has been increased by 0. 74 siliceous degrees in the twenty recent years. In this research, the current and future distribution of Chestnut-leaved oak (Quercus castaneifolia CAM) was studied using an ensemble method including five different species distribution models. We used five general circulation models under two reprehensive concentration pathway (RCPs) to project the impact of climate change on the distribution of Chestnut-leaved oak by 2070. Also, the stable, gained and lost suitable habitat of Chestnut-leaved oak were determined using range size change analyses under climate change. The results showed that the area of suitable habitats with high certainty would be i
no record found