Determination the structure of oriental beech, Fagus orientalis Lipsky stands (Case study: Asalem watershed forests, north of Iran)
Publish place: Caspian Journal of Enviromental Sciences، Vol: 15، Issue: 1
Publish Year: 1396
Type: Journal paper
Language: English
View: 102
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_CJES-15-1_005
Index date: 16 June 2024
Determination the structure of oriental beech, Fagus orientalis Lipsky stands (Case study: Asalem watershed forests, north of Iran) abstract
Modification of stands’ structure and managing them using silvicultural methods close to nature and single selection system require information on status of structure, determining the target diameter, basal area and suitable volume to result in long-term equilibrium and sustainability. So, this study was conducted using the selection sample statistical method by selecting five 1-ha sample plots in mixed oriental beech Fagus orientais Lipsky forests of Asalem watershed, located in the west of Guilan Province, Northern Iran. Quantitative and qualitative features of the studied stand were recorded in relation to each sample plot. The results from analysis of the curves related to diameter classes, volume and basal area of the stands with their annual growth showed that 26 to 28 m2.ha-1 and a volume of 300 to 350 m3.ha-1 with a target diameter of 75-80 cm was suggested for the purposeful removal and avoiding taste markings in order to modify and guide the structures of Northern Iran’s oriental beech stands.
Determination the structure of oriental beech, Fagus orientalis Lipsky stands (Case study: Asalem watershed forests, north of Iran) Keywords:
Determination the structure of oriental beech, Fagus orientalis Lipsky stands (Case study: Asalem watershed forests, north of Iran) authors
A. Eslami
Islamic Azad University of Rasht
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :