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مقایسة عملکرد مدلهای خطی و غیرخطی در برآورد شایستگی زیستگاه (مطالعة سیاهماهی رازی، Capoeta razii) | ||
نشریه محیط زیست طبیعی | ||
دوره 77، ویژه نامه بوم شناسی و مدیریت تنوع زیستی، مرداد 1403، صفحه 49-60 اصل مقاله (989.78 K) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/jne.2023.367109.2610 | ||
نویسندگان | ||
هادی پورباقر؛ سهیل ایگدری* ؛ فاتح معزی | ||
گروه شیلات، دانشکدة منابع طبیعی، دانشگاه تهران، دانشکدگان کشاورزی و منابع طبیعی، کرج، ایران. | ||
چکیده | ||
یافتن مدلهای آماری دارای بهترین عملکرد پیش بینی در مطالعات شایستگی زیستگاه گونه های ماهیان از اهمیت بالایی برخوردار است. در مطالعة حاضر، عملکرد مدلهای خطی (مدل رگرسیون خطی (LM)، مدل رگرسیون خطی تعمیمیافته (GLM)) و غیرخطی (مدل شبکة عصبی مصنوعی (ANN) و مدل ماشین بردار پشتیبان (SVM)) در برآورد نمایة شایستگی زیستگاه (HSI) گونة سیاه ماهی رازی Capoeta razii در تعداد 32 ایستگاه در امتداد بازة حدود 90 کیلومتری از رودخانة طالقان، حوضة جنوبی دریای خزر مورد بررسی قرار گرفت. پارامترهای محیطی اندازه گیری شده عبارت بودند از: ارتفاع از سطح دریا، عمق رودخانه، عرض رودخانه، سرعت جریان آب، دما، pH، EC، TDS، قطر سنگ و تعداد سنگهای با قطر > 15 سانتیمتر در بستر. نتایج نشان داد که مدلهای خطی در مقایسه با مدلهای غیرخطی از عملکرد پیشبینی ضعیفتری (مقدار RMSE بالاتری) برخوردارند. بهترین مدلها برای پارامترهای ارتفاع از سطح دریا، pH، دما و قطر سنگ مربوط به مدل SVM و برای دیگر پارامترها مربوط به مدل ANN بود. مدل میانگین حسابی (AMM) در مقایسه با مدل میانگین هندسی (GMM) عملکرد مناسبتری را در برآورد HSI نشان داد. توزیع مقادیر HSI در ایستگاههای بررسی شده در رودخانة طالقان نشان داد که نقاط دارای سطوح شایستگی زیستگاه کم تا زیاد برای گونة سیاهماهی رازی در امتداد این رودخانه وجود دارد. | ||
کلیدواژهها | ||
توزیع گونه؛ رودخانة طالقان؛ متغیرهای زیستگاهی؛ مدلسازی | ||
مراجع | ||
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