Fa
  • Ph.D. (2011)

    Forestry

    Forestry, University of Tehran, Karaj, Iran

  • M.Sc. (2004)

    Forestry

    Forestry, University of Tehran, Karaj, Iran

  • B.Sc. (2001)

    Forestry

    Forestry, University of Tehran, Karaj, Iran

  • The combined effects of climate and land-use change on tree species distributions
  • Predicting habitat suitability with machine learning models
  • The ecological niche analysis of tree species
  • Quantifying forest structure
  • Assessing forest site productivity using statistical models
  • Spatial modeling and Geostatistics

    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.

    Contact

    Curriculum Vitae (CV)

    Classification of forest communities (co-) dominated by Taxus baccata in the Hyrcanian forests (northern Iran) and their comparison with southern Europe

    P Karami-Kordalivand, O Esmailzadeh, W Willner, J Noroozi, SJ Alavi
    Journal PaperEuropean Journal of Forest Research , 2021 January 3, {Pages 14-Jan }

    Abstract

    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

    A classification of woody communities based on biological dissimilarity

    Minhui Hao, Klaus von Gadow, Seyed Jalil Alavi, Juan Gabri?l ?lvarez‐Gonz?lez, Juan Rommel Baluarte‐V?squez, Javier Corral‐Rivas, Gangying Hui, Mykola Korol, Rajesh Kumar, Jingjing Liang, Peter Meyer, Othumbam Kat Remadevi, Ritu Kakkar, Wenzhen Liu, Xiuha
    Journal PaperApplied Vegetation Science , Volume 24 , Issue 1, 2021 January , {Pages e12565 }

    Abstract

    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

    Potential elevation shift of oriental beech (Fagus orientalis L.) in Hyrcanian mixed forest ecoregion under future global warming

    MK Limaki, ME Nimvari, SJ Alavi, A Mataji, F Kazemnezhad
    Journal Paper , , {Pages }

    Abstract

    How does land use configuration influence on sediment heavy metal pollution? Comparison between riparian zone and sub-watersheds

    M Mohammadi, A Khaledi Darvishan, E Dinelli, N Bahramifar, SJ Alavi
    Journal Paper , , {Pages }

    Abstract

    ارزیابی کمی پویایی کربن و نیتروژن خاک تحت جنگلکاری‌های بلندمازو و توسکا ییلاقی‎

    پارساپور, محمدکاظم, کوچ, یحیی, حسینی, سیدمحسن, علوی, سید جلیل‎
    Journal Paper , , {Pages }

    Abstract

    Soil physico-chemical properties 20 years after plantation in the Iranian northern‎ forests (Emphasizing on carbon and nitrogen stocks in plantation with broadleaved and …

    L Vatani, SM Hosseini, SJ Alavi, M Raeini Sarjaz, SS Shamsi
    Journal Paper , , {Pages }

    Abstract

    تغییرپذیری ویژگی های کیفی خاک در دو توده جنگل‌کاری بلند‌مازو (Quercus castaneifolia) و کاج رادیاتا (Pinus radiate)‎

    اعظم السادات نورایی, اعظم السادات, جلیلوند, حمید, حجتی, علوی, سید جلیل‎
    Journal Paper , , {Pages }

    Abstract

    تغییرپذیری مشخصه‌های کیفی خاک در دو توده جنگل‌کاری بلند‌مازو (Quercus castaneifolia) و کاج رادیاتا (Pinus radiate)‎

    نورایی, اعظم السادات, جلیلوند, حمید, حجتی, علوی, سید جلیل‎
    Journal Paper , , {Pages }

    Abstract

    کمی سازی آشیان اکولوژی گونهParapholis incurva نسبت به تغییر برخی گرادیان‌های محیطی با استفاده از تابع HOF‎

    محمودیان, امین, دیانتی, قاسمعلی, علوی, جلیل‎
    Journal Paper , , {Pages }

    Abstract

    Variability of Soil Quality Characteristics in Oak (Quercus castaneifolia) and Monterrey Pine (Pinus radiata) Plantations

    AS Nouraei, H Jalilvand, SM Hojjati, SJ Alavi
    Journal Paper , , {Pages }

    Abstract

    An improved land use classification scheme using multi-seasonal satellite images and secondary data

    Sajjad Mirzaei, Mehdi Vafakhah, Biswajeet Pradhan, Seyed Jalil Alavi
    Journal PaperEcopersia , Volume 8 , Issue 2, 2020 June 10, {Pages 97-107 }

    Abstract

    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

    Analyzing the Biological and Structural Diversity of Hyrcanian Forests Dominated by Taxus baccata L.

    Seyed Jalil Alavi, Razieh Veiskarami, Omid Esmailzadeh, Klaus v Gadow
    Journal PaperForests , Volume 11 , Issue 6, 2020 June , {Pages 701 }

    Abstract

    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 potential impact of future climate on the distribution of European yew (Taxus baccata L.) in the Hyrcanian Forest region (Iran)

    Kourosh Ahmadi, Seyed Jalil Alavi, Ghavamudin Zahedi Amiri, Seyed Mohsen Hosseini, Josep M Serra-Diaz, Jens-Christian Svenning
    Journal PaperInternational Journal of Biometeorology , 2020 May , {Pages }

    Abstract

    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

    Patterns of density and structure of natural populations of Taxus baccata in the Hyrcanian forests of Iran

    Kourosh Ahmadi, Seyed Jalil Alavi, Ghavamudin Zahedi Amiri, Seyed Mohsen Hosseini, Josep M Serra‐Diaz, Jens‐Christian Svenning
    Journal PaperNordic Journal of Botany , Volume 38 , Issue 3, 2020 March , {Pages }

    Abstract

    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

    Modeling the potential habitat of English yew (Taxus baccata L.) in the Hyrcanian forests of Iran

    SJ ALAVI, K AHMADI, SM HOSSEINI, Z NOURI
    Journal Paper , Volume 5 , Issue 400860, 2020 January 1, {Pages 513-525 }

    Abstract

    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 potential impact of future climate on the distribution of European yew (Taxus baccata L.) in the Hyrcanian Forest region (Iran).

    Kourosh Ahmadi, Seyed Jalil Alavi, Ghavamudin Zahedi Amiri, Seyed Mohsen Hosseini, Josep M Serra-Diaz, Jens-Christian Svenning
    Journal PaperInternational Journal of Biometeorology , 2020 May 18, {Pages }

    Abstract

    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

    Prediction and Analysis of Flood Zones under Climate Change Conditions based on CanESM2 Model’s Scenarios

    Sajjad Mirzaei, MEHDI VAFAKHAH, Biswajeet Pradhan, SEYED JALIL ALAVI
    Journal Paper , Volume 7 , Issue 2, 2020 January 1, {Pages 551-562 }

    Abstract

    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 susceptibility assessment using extreme gradient boosting (EGB), Iran

    Sajjad Mirzaei, Mehdi Vafakhah, Biswajeet Pradhan, Seyed Jalil Alavi
    Journal PaperEarth Science Informatics , 2020 October 15, {Pages 17-Jan }

    Abstract

    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

    Assessing the dominant height of oriental beech (Fagus orientalis L.) in relation to edaphic and physiographic variables in the Hyrcanian Forests of Iran

    Seyed Jalil Alavi, Kourosh Ahmadi, Carsten F Dormann, Josep M Serra-Diaz, Zahra Nouri
    Journal PaperBASE , 2020 January 1, {Pages }

    Abstract

    ?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

    Projection of Climate Change Impacts on Potential Distribution of Chestnut-leaved oak (Quercus castaneifolia CAM) Using Ensemble Modeling in the Hyrcanian Forests of Iran

    Hamid Taleshi, Seyed Gholamali Jalali, Seyed Jalil Alavi, Seyed Mohsen Hosseini, Babak Naimi
    Journal Paper , Volume 8 , Issue 15, 2020 January 1, {Pages 21-Oct }

    Abstract

    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

    Current Teaching

    • MS.c.

      Simulation and Modeling in the Forests

    • MS.c.

      Simulation and Modeling in the Forests

    • Ph.D.

      Spatial Statistics in Forest

    • Ph.D.

      Spatial Statistics in Forest

    Teaching History

    • MS.c.

      Statistical Methods in the Forest

    • 2020
      Moslemi, Ali
      Distribution modeling of rare and low-occurrence tree species in the northern forests of Iran
    • 2017
      Moghbel esfahani, Farzane
      feasibility study of habitat Suitability Models for Selection of Hyrcanian Forest tree species in reforestation Projects
    • 2018
      Mohammadi, Atefeh
    • 2019
      Habibi kilak, Shadi
    • 2019
      Shokouhi, Shabnam
    • 2020
      Hesabi, Aref
    • 2021
      Rahmani Hesar, Donya

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