کاربرد سیستم های تخصص محور در طبقه بندی پوشش گیاهی

نوع مقاله : علمی- پژوهشی

نویسندگان

1 دانشجوی دکتری جنگل‌داری، گروه علوم و مهندسی جنگل، دانشکده منابع طبیعی و علوم دریایی، دانشگاه تربیت‌مدرس، نور، ایران

2 نویسنده مسئول، استادیار، گروه علوم و مهندسی جنگل، دانشکده منابع طبیعی و علوم دریایی، دانشگاه تربیت‌مدرس، نور، ایران

چکیده

در پژوهش پیش‌رو کارایی دو سیستم تخصص‌‌محور طبقه‌‌بندی پوشش ‌‌گیاهی در بازیابی جوامع گیاهی سرخ‌دار (Taxus baccata L.) در جنگل‌های هیرکانی مرکزی و شرقی ارزیابی شد. برای این منظور، ابتدا جوامع گیاهی با استفاده از تحلیل گونه‌‌های معرف دوطرفه (TWINSPAN) و براساس اطلاعات ترکیب پوشش ‌‌گیاهی 408 رلوه 400 متر مربعی طبقه‌‌بندی شدند. سپس، گونه‌‌های معرف هریک از جوامع گیاهی مذکور با بهره‌‌گیری از نتایج تلفیقی سه شاخص تعلقه‌فی، نسبت پایایی و نسبت تاج‌‌پوشش کل تعیین شدند. جوامع گیاهی اولیه پس از سنتر ‌به‌روش جدولی براون- بلانکه در قالب پنج جامعه گیاهی سرخ‌دار معرفی شدند. همچنین، با استفاده از دو رویکرد مختلف شامل گروه‌گونه‌‌ عملکردی (در روش تخصص‌‌محور تلفیقی) و گروه‌گونه‌‌ جامعه‌‌شناختی (در روش تخصص‌محور ترکیب گونه‌‌های معرف)، رلوه‌‌ها به هریک از پنج جامعه مذکور تخصیص یافتند. براساس نتایج به‌دست‌آمده، همه رلوه‌‌ها در روش تخصص‌‌محور تلفیقی به گروه‌‌های هدف اختصاص یافته بودند و انطباق صددرصد را با جوامع گیاهی پنج‌گانه سرخ‌دار نشان دادند، درحالی‌که در روش ترکیب گونه‌‌های معرف، 87 رلوه به هیچ‌کدام از این جوامع تعلق نداشتند یا به بیشتر از یک جامعه اختصاص یافتند. مقدار انطباق نتایج این روش با جوامع گیاهی ازپیش‌طبقه‌‌بندی‌شده سرخ‌دار، 7/78 درصد ارزیابی شد. به‌طورکلی، نتایج پژوهش پیش‌رو تصریح می‌‌کند که باتوجه‌به اهمیت ثبات و انعطاف‌‌پذیری سیستم‌‌های طبقه‌‌بندی پوشش ‌‌گیاهی و اختصاص صحیح یک رلوه به جامعه‌‌ هدف، استفاده از روش تخصص‌‌محور تلفیقی نسبت به روش ترکیب گونه‌های معرف در طبقه‌‌بندی خودکار جوامع‌‌ گیاهی ارجحیت دارد.

کلیدواژه‌ها

عنوان مقاله [English]

Application of expert systems in vegetation classification

نویسندگان [English]

  • P. Karami‑Kordalivand 1
  • O. Esmailzadeh 2
1 PhD. Student of Forestry, Department of Forest Science and Engineering, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran
2 Corresponding author, Assistant Prof., Department of Forest Science and Engineering, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran
چکیده [English]

     The aim of this study was to evaluate the efficiency of two expert systems in automatic classification of pre-defined yew (Taxus baccata L.) communities in the central and eastern of the Hyrcanian forests. Therefore, initial plant communities were recognized using Two-Way Indicator Species Analysis (TWINSPAN) based on floristic data of 408 relevés with 400 m2 areas each. To determine representative species, the integrative results of Phi-coefficient index, constancy ratio, and the ratio of average cover were used. Five plant communities were introduced after transferring the initial communities to the Braun-Blanquet synthesis table. The assignment of relevés into the fifth yew associations were done by functional and sociological species groups as two different automatic algorithms of expert system for vegetation classification. The results showed that all relevés in the expert system based on functional species groups were correctly assigned to the target groups. This method was in 100% agreement with the existing yew syntaxa. However, 87 relevés were not assigned to any of the five pre-defined yew associations, or they were assigned to more than one unit in the Cocktail method, which showed 78.7% agreement with the previously yew syntaxa. Finally, our results illustrate that application of expert system based on functional species groups is preferred to sociological species groups in automatically plant community classification due to the importance of consistency and flexibility of vegetation classifications and the correct assignment of relevés to the target units.

کلیدواژه‌ها [English]

  • Assignment
  • automatic classification
  • functional species group
  • indicator species
  • sociological species group

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