بررسی تأثیرخشکسالی درتغییرات پوشش گیاهی مرتعی و جنگلی استان چهار محال و بختیاری با استفاده از داده های سنجنده مودیس

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، دانشگاه صنعتی اصفهان

2 استاد، گروه مرتع و آبخیزداری، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان، ایران

3 دانشیار، گروه مرتع و آبخیزداری، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان، ایران

4 استادیار، گروه مرتع و آبخیزداری، دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان، ایران

5 استادیار پژوهش، مرکز تحقیقات کشاورزی و منابع طبیعی چهارمحال و بختیاری، شهرکرد، ایران

چکیده

     هدف از این مطالعه بررسی رابطه تغییرات پوشش گیاهی و نوسانات ویژگیهای اقلیمی مانند بارندگی و پدیده خشکسالی با استفاده از تصاویر ماهواره­‌ای مودیس در طول سال‌های 1379-1393 در استان چهارمحال و بختیاری می­باشد. به­منظور بررسی میزان تأثیر بارش و خشکسالی بر تغییرات پوشش گیاهی در32 ایستگاه سینوپتیک، اقلیم­شناسی و باران­سنجی داخل و اطراف استان، ،شاخص SPI در دوره­های زمانی کوتاه مدت (سه، شش و نه ماهه) و بلندمدت (12 و 24 ماهه) محاسبه شد. تمامی مقیاس­های زمانی منتهی به اوایل خرداد (ماه می) یعنی ماه حداکثر رویش پوشش گیاهی استان چهارمحال و بختیاری می­باشد.  بدین­منظور، نقشه­‌های گستره خشکسالی و تصاویر شاخصNDVI در مقیاس‌­های مختلف زمانی (سالیانه، فصلی) با استفاده از روش ­میان­یابی کریجینگ تهیه و روش رگرسیون خطی برای پایش تغییرات پوشش گیاهی در اثر نوسانات بارندگی و خشکسالی استفاده شد. بررسی تغییرات شاخص گیاهی و  SPIطی دوره مورد مطالعه حاکی از آن بود که نوع فرم رویشی و گونه گیاهی نقش مهمی در تأثیر­پذیری پوشش گیاهی از خشکسالی دارد. در بین تیپ­های گیاهی مطالعه شده، در مناطق مرتعی با پوشش علفزار یکساله- فورب بالاترین میزان همبستگی میان تغییرات شاخص پوشش گیاهی و SPI وجود داشت، این مطلب مؤید اثر بیشتر کاهش بارندگی بر زوال و از بین رفتن پوشش گیاهی مرتعی نسبت به پوشش جنگلی است. نتایج این مطالعه نشان می­دهد که داده­های NDVI مستخرج از سنجنده مودیس ابزار مؤثری در برآورد و پایش خشکسالی مؤثر بر پوشش گیاهی است. با مطالعه و شناخت پوشش گیاهی و استفاده از شاخص NDVI، برای  بررسی تغییرات پوشش گیاهی می‌­توان تیپ­های حساس و آسیب­پذیر را در شرایط خشکسالی تشخیص داد.
 
 

کلیدواژه‌ها


عنوان مقاله [English]

An investigation on impact of drought on rangeland and forest vegetation changes in Chaharmahal & Bakhtiari province using MODIS satellite dat

نویسندگان [English]

  • Leila Yaghmaei 1
  • S. Soltani 2
  • R. Jafari 3
  • H. Bashari 4
  • H. Jahanbazi 5
1 PhD student, Isfahan university of technology
چکیده [English]

The aim of this study was to investigate the relationships between vegetation changes and climate variables including rainfall and drought using MODIS satellite images during the years 2000-2014 in Chaharmahal and Bakhtiari Province. In order to evaluate the impact of rainfall and drought on vegetation changes in 32 synoptic, climatology and rain gauge stations in and around the province, SPI index was calculated in short time series (3, 6, 9 months) and long time series (12, 24 months). All the time scales were leading to early June in which the maximum growth of vegetation of the province is occurred. To this end, SPI drought maps and NDVI images were prepared at different time scales by kriging method and linear regression analysis was performed to define their relationships. Comparisons of NDVI and SPI over the study period showed that the vulnerability of vegetation to drought mostly depends on the life forms and plant species. In this study, depending on the type of vegetation, different correlation coefficients were observed between vegetation and SPI indices. Among different rangeland and forest vegetation types, higher correlations were found between NDVI and SPI in rangeland vegetation types compared to the forest ones and the highest correlations belonged to the annual grass and annual forb vegetation cover. This confirms the higher impact of reducing rainfall on the decline of rangeland cover compared to the forest vegetation. Overall, the findings of this study indicate that the MODIS NDVI can be used to study SPI in the assessment and monitoring of drought effects on vegetation cover. By studying and recognition of vegetation cover and applying NDVI index to assess changes in vegetation cover, vulnerable types of vegetation to drought could be identified.
 
 

کلیدواژه‌ها [English]

  • Rangeland and forest vegetation
  • drought
  • MODIS
  • NDVI
  • Linear regression
 
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