مطالعة آثار نوع مدیریت مشارکتی و دولتی بر تنوع گونه‏های چوبی با بهره‏گیری از مدل‏های پارامتری تنوع

نوع مقاله : مقاله پژوهشی

نویسندگان

1 ؛ دانشجوی دکتری جنگل‌داری، دانشگاه ملی اراضی ارمنستان، کارشناس سازمان جنگل‌ها، مراتع و آبخیزداری، تهران، ایران

2 دانش‌آموختة کارشناسی ارشد جنگل‌داری، دانشکدة منابع طبیعی، تربیت مدرس، نور، ایران

3 استاد دانشکدة منابع طبیعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران

4 استاد دانشگاه ملی اراضی، ایروان، ارمنستان

چکیده

به منظور بررسی نوع مدیریت بر تنوع گونه‏های چوبی، جنگل‏های سری 3 شیلر از بخش 1 حوزة مهربان‌رود و سری‏های 3 و 4 بخش 8 حوزة نکا‌ـ بهشهر به ترتیب با نوع مدیریت مشارکتی و دولتی مطالعه شد. تنوع گونه‏های چوبی مطالعه‌شده به کمک مدل‏های پارامتری تنوع، شامل سری هندسی و سری لوگ و سری لوگ‏نرمال و عصای شکستة مک آرتور، بررسی شد. ابتدا، با پرس‌وجو از مردم و جنگل‌گردشی‏های مکرر همراه دامداران فعال در جنگل، شعاع تأثیر مردم محلی بر جنگل‏های منطقه تعیین و با دستگاه GPS مشخص شد. سپس، در قسمتی از جنگل که تحت تأثیر مردم محلی بود قطعات نمونة آماربرداری 10 آری اجرا شد. در مجموع، مناطق مطالعه‌شده 62 قطعه‌نمونه را شامل شد. درون هر قطعه‌نمونه تعداد و نوع گونه‏های چوبی مشخص و ثبت شد. برای تحلیل داده‏ها از نرم‏افزار PAST استفاده شد. نتایج نشان داد هر دو منطقة مطالعه‌شده فقط از مدل سری لوگ‏نرمال تبعیت می‏کنند. این موضوع بیانگر آن است که منابع جنگلی هر دو منطقه طبیعی و بالغ و متنوع‌اند. همچنین، نتایج نشان داد جنگل‏های منطقه با مدیریت دولتی نسبت به جنگل‏های با مدیریت مشارکتی بیشتر به تبعیت از مدل سری لوگ تمایل دارند. این بدان معناست که جنگل‏های مطالعه‌شده، که مدیریت دولتی بر آن‌ها اعمال شده، نسبت به جنگل‏های تحت مدیریت مشارکتی، تعداد نسبتاً کمی از هر گونه دارند.  به طور کلی می‏توان نتیجه گرفت در مناطق مطالعه‌شده مدیریت مشارکتی نسبت به مدیریت دولتی ساختار و تنوع گونه‏های جنگل را بهتر حفظ کرده است.



 

کلیدواژه‌ها


عنوان مقاله [English]

Studying the Effects of Participatory and Governmental Management on the Diversity of Wooden Varieties using Diversity Parametric Models

نویسندگان [English]

  • Majid Loghmanpour 1
  • Mohsen Elahi 2
  • Ali Yakhkeshi 3
  • zhehaeir Vardanian 4
1 Ph.D. Student of Forestry, Yerevan State Agrinean University of Armenia, Expert of Forest Range and Watershad Management Organization, Yerevan, Armenia
2 M.Sc, Faculty of Natural Resources, Tarbiat Modares University, Noor, I.R. Iran
3 ; Professor, Faculty of Natural Resources, Sari Agricultural Science and Natural Resources University, Sari, I.R. Iran
4 ; Professor, Department of Yerevan State Agrinean University, Yerevan, Armenia
چکیده [English]

In order to investigate the effects of  management models on the diversity of wooden species, forests of third series of Shiler, the first division Mehrbanrud watershed and third and fourth series of eight division of Behshahr – Neka townships were studied with participatory and governmental management respectively. The diversity of the wooden species have been evaluated by diversity parametric models such as geometric series, log series, log normal series as well as broken stick. At first, the radius of local people influence on the forests of the study area has been defined through interviewing with ranchers, doing field studies with GPS. Then, samples of 0.1 ha have been designed in the forest areas which were under the control of local people. Totally, the study area contained of 62 sample plots. The number and the type of wooden species were defined in each plot. Data analyzing was done using PAST software. The result showed that both two regions (region with participatory management and region with governmental management) follow the log normal series model. The results showed that both regions have mature, natural and varied forest resources. Also, forests under governmental management follow the log series model more than the participatory ones. This means that the forests under the governmental management have relatively less numbers of each species. Generally, participatory management conserves the forests structure and their species diversity better than the governmental management.

کلیدواژه‌ها [English]

  • Broken stick
  • Geometric series
  • Log normal
  • Log series
 
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