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پریسا لاهوتی سید مصطفی عمادی محمد علی بهمنیار مهدی قاجار سپانلو

چکیده

برای درک بهتر از ترسیب یا آزادسازی کربن به اتمسفر، پهنه‌بندی کربن آلی خاک برای داشتن خط مبنایی از مقدار و ذخیره آن در خاک و همچنین امکان پایش تغییرات آن در طول زمان، بسیار حائز اهمیت است. هدف اصلی این تحقیق، شناخت تغییرپذیری مقدار و ذخیره کربن آلی خاک با استفاده از روش‌های شبکه عصبی مصنوعی و زمین‌آمار در شرق و جنوب شرق استان کهگیلویه و بویراحمد بود. نمونه‌های خاک به‌صورت مرکب و تصادفی از 204 نقطه از عمق 0-15 سانتی‌متر جمع‌آوری و مقدار کربن و ذخیره کربن آلی و برخی خصوصیات خاک اندازه‌گیری شد و از شاخص پوشش گیاهی، ارتفاع، دما، بارش و شیب به‌عنوان داده‌های کمکی استفاده شد. به‌منظور تخمین نقاط در محل‌های نمونه­برداری نشده از روش­های شبکه عصبی مصنوعی (پرسپترون چندلایه، MLP)، کوکریجینگ، کریجینگ معمولی و وزن­دهی معکوس فاصله استفاده شد و از شاخص­های آماری نظیر ضریب همبستگی (R2)، ضریب همبستگی همگام (CCC)، خطای میانگین (ME) و ریشه میانگین مربعات خطا (RMSE) برای تعیین بهترین روش استفاده شد. مقدار و ذخیره کربن آلی خاک با کاهش میانگین دما و افزایش ارتفاع، ارتقا یافت و در کاربری جنگل بیشترین مقدار بود. بهترین مدل واریوگرام برای مقدار و ذخیره کربن آلی مدل گوسی بود و روش MLP نسبت به روش­های زمین‌آماری در تخمین مقدار و ذخیره کربن آلی خاک دقت بیشتری داشت. پهنه‌بندی حاصل از روش MLP با توجه به‌دقت بالای آن (856/0= RMSE، 133/0= ME، 89/0 CCC=و 68/0= R2) و مدنظر قرار دادن عوامل زمینی، خاکی و اقلیمی، می­تواند به‌عنوان یک نقشه مبنا برای بیان وضعیت فعلی کربن آلی در منطقه معرفی گردد.

جزئیات مقاله

کلمات کلیدی

ترسیب کربن, تغییرپذیری مکانی, مناطق خشک و نیمه‫خشک, نقشه مبنا کربن خاک

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ارجاع به مقاله
لاهوتیپ., عمادیس. م., بهمنیارم. ع., & قاجار سپانلوم. (2019). پهنه‌بندی کربن آلی خاک با استفاده از روش‌های زمین‌آماری و شبکه عصبی مصنوعی (استان کهگیلویه و بویراحمد). آب و خاک, 32(6), 1135-1148. https://doi.org/10.22067/jsw.v32i6.67983
نوع مقاله
علمی - پژوهشی