Woody species diversity and forest structure from lowland to montane forest in Hyrcanian forest ecoregion

被引:0
|
作者
Seyed Mohammad Jafari
Shahin Zarre
Seyed Kazem Alavipanah
机构
[1] University of Tehran,School of Biology and Center of Excellence in Phylogeny of Living Organisms, College of Science
[2] University of Tehran,School of Biology and Center of Excellence in Phylogeny of Living Organisms, College of Science
[3] University of Tehran,Department of Cartography, Faculty of Geography
来源
关键词
Alborz Mountains; Biodiversity; Forest Mensuration; Hyrcanian forest; Disturbance;
D O I
暂无
中图分类号
学科分类号
摘要
Alborz Mountains host Caspian Hyrcanian forest ecoregion along the northern slopes and forest steppe ecoregion in highlands. Hyrcanian forest covers the southeastern part of Caucasus biodiversity hotspot and is of great biogeographic importance. Altitudinal pattern and correlation between woody species biodiversity (DIV), forest structure ((stem density (DEN), mean basal area (MBA) and mean height class (MHC)) and disturbance (DIS) were explored along 2,400 m altitudinal gradient in Hyrcanian relict forest, Central Alborz Mountains. Vegetation changes from lowland forest (LoF) to midaltitude forest (MiF) and montane forest (MoF) in this area. The altitudinal gradient was divided into twelve 200 m elevational belts. Point centered quarter method (PCQM) with 96 sampling points and 83 vegetation samples by plot method (PM) were used to record field data. Shannon-Wiener index and Pearson coefficient were used for diversity and correlation analysis. The results showed that DEN decreased linearly, MBA and MHC showed relatively hump shaped and DIS showed a reverse hump shaped pattern of change along altitudinal gradient. Woody species diversity decreased non-steadily from LoF to MoF. Transitional vegetations of Carpinus-Fagus and Fagus-Quercus represented higher diversity of woody taxa compared to adjacent homogenous communities. Significant correlation was observed between altitude and all parameters: DEN with MBA, DIS and DIV; MBA with DIS; MHC with DIS along with DIV; and DIS with DIV at the study area scale. Surprisingly, correlation between studied parameters differed within each vegetation type. Altitude probably acts as a proxy for human and environmental driving forces in this area. Stability of warm and wet condition, season length, soil depth along with forest accessibility probably influences the altitudinal pattern of the studied parameters. Disturbance affects forest structure and consequently diversity; especially in lowlands. The obtained results recommend using both forest biodiversity and mensuration data in management process of forest ecosystems.
引用
收藏
页码:609 / 620
页数:11
相关论文
共 50 条
  • [1] Woody species diversity and forest structure from lowland to montane forest in Hyrcanian forest ecoregion
    Jafari, Seyed Mohammad
    Zarre, Shahin
    Alavipanah, Seyed Kazem
    JOURNAL OF MOUNTAIN SCIENCE, 2013, 10 (04) : 609 - 620
  • [2] Woody Species Diversity and Forest Structure from Lowland to Montane Forest in Hyrcanian Forest Ecoregion
    Seyed Mohammad JAFARI
    Shahin ZARRE
    Seyed Kazem ALAVIPANAH
    Journal of Mountain Science, 2013, 10 (04) : 609 - 620
  • [3] Impacts of Forest Road on Plant Species Diversity in a Hyrcanian Forest, Iran
    Tehrani, Fatemeh Berenji
    Majnounian, Bans
    Abdi, Ehsan
    Amiri, Ghavammodin Zahedi
    CROATIAN JOURNAL OF FOREST ENGINEERING, 2015, 36 (01) : 63 - 71
  • [4] Functional turnover from lowland to montane forests: evidence from the Hyrcanian forest in northern Iran
    Jafari, Seyed Mohammad
    Zarre, Shahin
    Alavipanah, Seyed Kazem
    Ghahremaninejad, Farrokh
    IFOREST-BIOGEOSCIENCES AND FORESTRY, 2015, 8 : 359 - 367
  • [5] Tree species diversity and above-ground biomass of natural temperate forest: montane versus lowland forest
    Gazda, Anna
    Miscicki, Stanislaw
    Chwistek, Kazimierz
    DENDROBIOLOGY, 2015, 73 : 3 - 10
  • [6] Machine learning prediction of tree species diversity using forest structure and environmental factors: a case study from the Hyrcanian forest, Iran
    Valizadeh, Esmaeil
    Asadi, Hamed
    Jaafari, Abolfazl
    Tafazoli, Mahya
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (11)
  • [7] Machine learning prediction of tree species diversity using forest structure and environmental factors: a case study from the Hyrcanian forest, Iran
    Esmaeil Valizadeh
    Hamed Asadi
    Abolfazl Jaafari
    Mahya Tafazoli
    Environmental Monitoring and Assessment, 2023, 195
  • [8] Genetic diversity of Castanea sativa an endangered species in the Hyrcanian forest
    Janfaza, Sulmaz
    Yousefzadeh, Hamed
    Nasr, Seyed Mohammad Hosseini
    Botta, Roberto
    Abkenar, Asad Asadi
    Marinon, Daniela Torello
    SILVA FENNICA, 2017, 51 (01)
  • [9] Diversity and floristic enrichment with montane cloud forest species, in an urban forest in Chiapas, Mexico
    Cruz-Salazar, Barbara
    Ruiz-Montoya, Lorena
    Teresa Perez-Gomez, Maria
    Garcia-Bautista, Maricela
    Ramirez-Marcial, Neptali
    MADERA Y BOSQUES, 2020, 26 (03):
  • [10] Drivers of lowland rain forest community assembly, species diversity and forest structure on islands in the tropical South Pacific
    Keppel, Gunnar
    Buckley, Yvonne M.
    Possingham, Hugh P.
    JOURNAL OF ECOLOGY, 2010, 98 (01) : 87 - 95