ارزیابی وضعیت سلامت جنگل در یک توده دست ‌نخورده طبیعی راش آمیخته با استفاده از شاخص‌های زادآوری و خشک‌دار (مطالعه مودی: حوزه آبخیز ماسوله)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد علوم و مهندسی جنگل، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایران.

2 استادیار گروه علوم و مهندسی جنگل، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایران

3 استاد گروه علوم و مهندسی جنگل، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایران.

چکیده

پایش سلامت جنگل برای ارزیابی وضعیت در حال تغییر منابع جنگلی و ایجاد آگاهی از سلامت جنگل ضروری است. این پژوهش جهت پایش سلامت جنگل با استفاده از دو شاخص زادآوری و خشک‌دار در حوزه آبخیز ماسوله، استان گیلان انجام شد. به منظور جمع‌آوری داده‌ها در منطقه‌ی مطالعه با استفاده از روش پایش سلامت جنگل، 20 قطعه نمونه به صورت خوشه‌ای در دو دامنه ارتفاعی مختلف از سطح دریا در نظر گرفته شد. در هر خوشه وضعیت زادآوری‌ گونه‌ها بر اساس کیفیت نهال‌ها و تقسیم آنها در دو گروه سالم و ناسالم، تعیین شد. ویژگی‌های خشک‌دارها شامل قطر و مشخصات کیفی (نوع گونه، درجه پوسیدگی) اندازه‌گیری و ثبت شد. در منطقه مطالعه 80 درصد از نهال‌ها سالم و 20 درصد ناسالم بودند. نتایج تجزیه واریانس تعداد زادآوری در هکتار در طبقات ارتفاعی نشان داد که بین تعداد نهال‌های سالم و نهال‌های ناسالم در طبقه‌های ارتفاعی مورد مطالعه، اختلاف معنی‌دار وجود دارد. بر اساس نتایج مطالعه حجم کل خشک‌دارها 44 مترمکعب‌ در هکتار می‌باشد که حجم خشک‌دارهای افتاده و سرپا به ترتیب 34 و 10 مترمکعب در هکتار است. آنالیز واریانس صورت گرفته نشان داد بین حجم خشک‌دارها در هکتار در دو طبقه ارتفاعی در منطقه مورد مطالعه، اختلاف معنی‌داری وجود ندارد. اما در مورد تعداد در هکتار خشک‌دارهای مختلف در این طبقات ارتفاعی اختلاف معنی‌داری وجود دارد. بررسی کیفیت خشک‌دارها (افتاده و سرپا) نشان داد بیشترین درصد خشک‌دارها متعلق به طبقه پوسیدگی یک (81 درصد) است. بیشترین فراوانی خشک‌دارها نیز در طبقه قطری کمتر از 30 سانتی‌متر مشاهده شد.

کلیدواژه‌ها


عنوان مقاله [English]

Assessment of Forest Health Status in a Natural Untouched of Fagus orientalis Lipsky Mixed Stand Using Regeneration and Deadwood Indicators (Case Study: Masuleh Watershed)

نویسندگان [English]

  • Atiyeh Shahamati Nejad 1
  • Roghayeh Jahdi 2
  • Farshad Keivan Behjou 3
1 M.Sc. Graduated of Forest Science and Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, I.R. Iran
2 Assist., Prof., Department of Forest Science and Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, I.R. Iran
3 Prof., Department of Forest Science and Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, I.R. Iran
چکیده [English]

Forest health monitoring is essential to assess the changing state of forest resources and create awareness of forest health issues. This study was conducted to monitor forest health using two indicators of regeneration and deadwood in the Masouleh watershed,. To collect data in the study area, using Forest Health Monitoring method 5 clusters of plots including 20 plots in two different altitudes were considered. In each cluster, the regeneration status of species was determined based on the quality of seedlings and their division into two categories: healthy and unhealthy. The characteristics of the deadwood including diameter, and quality characteristics (species type, degree of decay) were measured and recorded. In the study area, 80% of the seedlings were healthy and 20% unhealthy. The results of the analysis of variance of the number of regenerations per hectare in the altitude classes showed that there is a significant difference between the number of healthy seedlings and unhealthy seedlings in the studied altitude classes. According to the results of the study, the volume of deadwood is 44 m3/ha, which is 34 and 10 m3/ha of down logs and standing deadwood, respectively. Analysis of variance showed that there was no significant difference between the volumes of deadwood per hectare in the two altitude classes in the study area. But there is a significant difference in the number of deadwood per hectare in the altitude classes. Study of the quality of deadwood showed that the highest percentage of deadwood belongs to the first-level decay (81%).

کلیدواژه‌ها [English]

  • Altitude classes
  • Cluster sampling
  • Deadwood
  • Forest health monitoring
  • Regeneration
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