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هادیان, فاطمه, جعفری, رضا, بشری, حسین, ترکش, مصطفی. (1398). مدل‌سازی تخریب مراتع نیمه‌استپی استان اصفهان با استفاده از تصاویر مودیس. , 11(3), 1-20. doi: 10.52547/gisj.11.3.1
فاطمه هادیان; رضا جعفری; حسین بشری; مصطفی ترکش. "مدل‌سازی تخریب مراتع نیمه‌استپی استان اصفهان با استفاده از تصاویر مودیس". , 11, 3, 1398, 1-20. doi: 10.52547/gisj.11.3.1
هادیان, فاطمه, جعفری, رضا, بشری, حسین, ترکش, مصطفی. (1398). 'مدل‌سازی تخریب مراتع نیمه‌استپی استان اصفهان با استفاده از تصاویر مودیس', , 11(3), pp. 1-20. doi: 10.52547/gisj.11.3.1
هادیان, فاطمه, جعفری, رضا, بشری, حسین, ترکش, مصطفی. مدل‌سازی تخریب مراتع نیمه‌استپی استان اصفهان با استفاده از تصاویر مودیس. , 1398; 11(3): 1-20. doi: 10.52547/gisj.11.3.1

مدل‌سازی تخریب مراتع نیمه‌استپی استان اصفهان با استفاده از تصاویر مودیس

نشریه سنجش از دور و GIS ایران
مقاله 1، دوره 11، شماره 3 - شماره پیاپی 43، 1398، صفحه 1-20    اصل مقاله (3.28 M)
نوع مقاله: علمی - پژوهشی
شناسه دیجیتال (DOI): 10.52547/gisj.11.3.1
نویسندگان
فاطمه هادیان* 1؛ رضا جعفری2؛ حسین بشری3؛ مصطفی ترکش3
1‌دانشجوی دکتری علوم مرتع، گروه مرتع و آبخیزداری، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان-
2دانشیار گروه مرتع و آبخیزداری، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان
3‌ استادیار گروه مرتع و آبخیزداری، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان
چکیده
گیاهان، یکی از مهم‌ترین اجزای اکوسیستم هستند که تحت‌تاثیر عوامل طبیعی و انسانی قرار می‌گیرند. به‌طوری‌که مطالعه تولید خالص اولیه، یکی از مهم‌ترین موضوعات در بوم‌شناسی به‌حساب می‌آید. مهمترین هدف این تحقیق مدل‌سازی توزیع مکانی و زمانی تولید خالص اولیه (مدل CASA) و تاثیر تابش موثر نور خورشید (LUE)  و همچنین اندازه‌گیری تخریب اراضی با شاخص تاثیر بارندگی ( RUE ) در مراتع نیمه‌استپی استان اصفهان است. برای انجام این مطالعه، تصاویر - NDVI ۱۶ روزه مودیس،‌ داده‌های هواشناسی، نقشه پوشش اراضی و داده‌های زمینی به کار گرفته شد و نتایج نشان داد که نرخ NPP از ماه مارس (C/m2/mo 44/11) تا ماه می‌ (C/m2/mo/07/41) افزایش داشته است، در حالیکه سیر نزولی را از اوایل ماه ژوئن  (C/m2/mo 2/2) به دلیل خشکی خاک نشان می‌دهد. اقلیم،‌ تیپ گیاهی و وضعیت مرتع نقش مهمی‌درNPP سالیانه داشتند، لذا بیشترین و کمترین NPP به ترتیب  در  Astragalus- Daphnae 85/38  gC/m2 y-1) 85/38 )  و Artemisia sieberi – Scariola gC/m2 y-1) 4 ) همراه با حداکثر ( g C (MJ)-1 13/0) و حداقل تاثیر تابش موثر نور خورشید  g C (MJ)-1)   LUE 005/0 ) مشاهده شد. مقدار (RUE)، در مراتع تخریب یافته کاهش داشت. علاوه بر این از همبستگی بین داده‌های زمینی و مدل CASA در اقلیم نیمه‌خشک گرم و مراتع تخریب‌یافته، کاسته شد. بنابراین توجه به وضعیت مرتع، تیپ گیاهی و اقلیم در پایش NPP و مدیریت مراتع ضروری است. 
کلیدواژه‌ها
NPP؛ CASA؛ LUE؛ RUE؛ وضعیت مرتع
عنوان مقاله [English]
Modeling of semi-steppe rangelands degradation in Isfahan Province using MODIS images
نویسندگان [English]
Fatemeh Hadian1؛ Reza Jafari2؛ Hossein Bashari3؛ Mostafa Tarkesh3
1Graduate Ph D in Range Management, Isfahan University of Technology
2Associate Professor, Faculty of Natural Resources, Isfahan University of Technology
3Associate Professor, Faculty of Natural Resources, Isfahan University of Technology
چکیده [English]
Plants are one of the most important components of the ecosystem which are affected by natural and human factors. Therefore, the study of net primary production (NPP) is one of the main subjects in ecology. The main purpose of this research was to model spatial and temporal distributions of NPP  and also to determine the degradation of vegetation types using Carnegie Ames Stanford Approach (CASA), Rain Use Efficiency  (RUE)  and  Light Use Efficiency (LUE) models in semi-steppe rangelands of Isfahan Province. For this purpose, the 16- day MODIS NDVI  images, metrological data, land cover maps and field study  were applied in the study area. The  results showed that the NPP rate increased from March (11.44gC/m2/mo) to May (41.07gC/m2/mo) while demonstrating a decreasing trend from the onset of June  (2.2 g C/m2/mo) due to soil dryness. Climate , vegetation type and rangeland conditions had important roles  in  annual plant NPP and therefore the highest and lowest NPP were observed in Astragalus- Daphnae (38.85 gC/m2 y-1) and Artemisia sieberi - Scariola  (4 g C/m2 y-1) vegetation types  with maximum (0.13 g C (MJ)-1) and minimum (0.005 g C (MJ)-1) LUE, respectively. The amount of RUE decreased in degraded rangelands. Moreover, the correlation between field measurements and the CASA model decreased in semiarid warm climate and degraded rangelands. Therefore, rangeland conditions, vegetation type and climate condition must be taken into consideration in NPP monitoring and rangelands management.
کلیدواژه‌ها [English]
NPP, CASA, RUE, LUE, range condition
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