پهنه‌بندی پراکنش مکانی نوعی آویشن (Thymus kotschianus)و بوماران Achilla millefolium) )با استفاده از شبکه عصبی مصنوعی (مطالعه موردی: مراتع دونا استان مازندران)

الموضوعات :

زینب بحرینی ¹ , زینب جعفریان ² , مریم شکری ³

1 - دانشجوی دکتری علوم مرتع، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ایران.
2 - استاد دانشگاه علوم کشاورزی و منابع طبیعی ساری، ایران. * (مسوول مکاتبات)
3 - استاد دانشگاه علوم کشاورزی و منابع طبیعی ساری، ایران.

تاريخ الإرسال : 18 الإثنين , ربيع الثاني, 1438 تاريخ التأكيد : 19 الأربعاء , رمضان, 1438 تاريخ الإصدار : 07 الأربعاء , جمادى الثانية, 1442

الکلمات المفتاحية: گونه‌های دارویی, شبکه پرسپترون چند لایه, منحنی ROC, مراتع دونا,

ملخص المقالة :

زمینه و هدف: هدف از این پژوهش، استفاده از مدل شبکه عصبی مصنوعی در تهیه نقشه پراکنش مکانی گونه های نوعی آویشن وبو مادران در مراتع دونا استان مازندران است. روش بررسی: نمونه برداری از پوشش گیاهی به روش طبقه بندی تصادفی در 29 واحد همگن انجام شد. در هر واحد همگن، 3 نمونه خاک نیز از عمق 30-0 سانتی متری برداشت شدند. در پژوهش حاضر، از 20 عامل محیطی به عنوان متغیر مستقل و داده های مربوط به حضور گونه های گیاهی مطالعه شده به عنوان متغیر وابسته استفاده گردید. برای تهیة نقشه پیش بینی مکانی گونه ها، اطلاعات محیطی در GIS تبدیل به نقشه شده و با استفاده از روش نسبت فراوانی هر کدام از آن ها کلاسه بندی شدند. در این پژوهش از شبکه پرسپترون چند لایه، متداول ترین شبکه های عصبی مصنوعی پیش خور، استفاده گردید. ساختار بهینه شبکه عصبی مصنوعی، 1، 20، 20 تعیین شد. خروجی به دست آمده از شبکه در نرم افزار GIS تبدیل به نقشه های پهنه بندی گونه های گیاهی با 4 پهنه عدم حضور، حضور کم، حضور متوسط و حضور زیاد شد. ارزیابی مدل به دو روش منحنی ROC و ضریب کاپا انجام شد. یافته ها:با استفاده از روش منحنیROC، مقدار AUC برای گونه بومادران برابر 8/96، و برای گونه نوعی آویشن برابر 7/84 شد که نشان دهندة ارزیابی عالی و خیلی خوب مدل در پیش بینی است. بحث ونتیجه گیری: ارزیابی به روش ضریب کاپا نشان داد که این ضریب برای گونه بومادران، و گونه نوعی آویشن، به ترتیب برابر 89/0 و 76/0 بود که نشان دهندة ارزیابی بسیار خوب و خوب مدل است.

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