نشریه محیط زیست طبیعی

مدل‌سازی مکانی زی‌تودة مانگروهای منطقة حفاظت شدة حرا

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه علوم جنگل، دانشکده منابع طبیعی و علوم زمین، دانشگاه شهرکرد، شهرکرد، ایران

2 مؤسسه تحقیقات جنگل‌ها و مراتع کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران

3 گروه محیط‌زیست، دانشکده شیلات و محیط زیست، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران

10.22059/jne.2022.352079.2501

چکیده

برآورد مقادیر ذخیرة کربن مانگروها نقش مهمی در تهیة اطلاعات حیاتی برای توسعه برنامه‌های سازگاری با تغییر اقلیم و استراتژی کربن آبی در رویشگاه‌های ساحلی دارد. بنابراین، هدف پژوهش حاضر برآورد مقادیر ذخیرة کربن مانگروها در منطقة حفاظت شده حرای استان هرمزگان بود. برای دستیابی به این هدف، پس از انجام آماربرداری میدانی و ثبت قطر در محل یقه مانگروها و استفاده از روابط آلومتریک، مقادیر زی‌توده روی‌زمینی و زیرزمینی مانگروها در محل قطعات نمونه برآورد شد. سپس با توسعة رابطة رگرسیونی بین مقادیر زی‌توده روی‌زمینی و زیر‌زمینی مانگروها و مقادیر شاخص پوشش گیاهی نرمال‌شده مستخرج از تصاویر ماهواره‌ای، نقشة مقادیر زی‌توده روی‌زمینی و زیرزمینی مانگروها در دو منظقة ساحلی و جزیره‌ای و مانگروهای بلندقد و کوتاه‌قد تهیه شد. نتایج نشان داد که میانگین زی‌توده روی‌زمینی در مانگروهای مناطق ساحلی و جزیره‌ای منطقه حفاظت شدة حرا به‌ترتیب برابر با 61/2 تن در هکتار و 56/1 تن در هکتار و میانگین زی‌توده زیرزمینی نیز به‌ترتیب برابر با 15/6 و 12/5 تن در هکتار بود و اختلاف معنی‌دار بین مقادیر این دو متغیر در دو زون منطقه حفاظت شده وجود داشت (0/002>P). وسعت مانگروهای بلندقد در منطقة ساحلی (59 درصد) بیشتر از وسعت مانگروهای کوتاه‌قد (41 درصد) بود و در قسمت جزیره‌ای وسعت مانگروهای بلندقد (44 درصد) کمتر از وسعت مانگروهای کوتاه‌قد (56 درصد) بود. مقدار زی‌توده کل در مانگروهای بلندقد در هر دو  منطقة ساحلی و جزیره‌ای به‌ترتیب در حدود 7/5 و 8 برابر مقدار این متغیر در مانگروهای کوتاه‌قد بود. نتایج این پژوهش می‌تواند برای تهیة برنامه‌های سازگاری با تغییر اقلیم رویشگاه‌های مانگرو مورد استفاده قرار گیرد.

کلیدواژه‌ها

عنوان مقاله [English]

Spatial modeling of biomass of mangroves in the Hara protected area

نویسندگان [English]

  • Davood Mafi-Gholami 1
  • Abolfazl Jaafari 2
  • Maryam Yaghoubzadeh 3

1 Department of Forest Sciences, Faculty of Natural Resources and Erath Sciences, Shahrekord University, Shahrekord, Iran

2 Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran

3 Department of Environmental Science, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

چکیده [English]

The estimation of mangrove carbon stocks is crucial for providing vital information for the development of climate change adaptation programs and blue carbon strategies in coastal ecosystems. Therefore, the aim of this study was to estimate the carbon storage of mangroves in the Hara protected area of Hormozgan province. For this purpose, after field surveys and recording the diameter at the mangroves' collar, the above-ground and below-ground biomass was estimated using allometric equations. Then, a regression was fitted between the above-ground and below-ground biomass and the normalized vegetation index (NDVI) extracted from the satellite images to develop a map of the above-ground and below-ground biomass of mangroves in two coastal and island zones and tall and dwarf mangroves structures. The results showed that the average above-ground biomass in the coastal and island zones of the Hara protected area was 61.2 and 56.1 t/ha, respectively, and the average underground biomass was 15.6 and 12.5 t/ha, respectively. There was a significant difference between the values of these two biomasses in the two zones. The extent of tall mangroves in the coastal zone (59%) was greater than dwarf mangroves (41%), and in the island zone, the extent of tall mangroves (44%) was less than dwarf mangroves (56%). The amount of total biomass in tall mangroves in both zones was about 7.5 and 8 times greater than the value of this variable in dwarf mangroves, respectively. The results of this study can be used to prepare climate change adaptation plans for mangrove habitats.

کلیدواژه‌ها [English]

  • Field survey
  • Allometric equations
  • Geographic Information System
  • Remote Sensing
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نشریه محیط زیست طبیعی
دوره 75، ویژه نامه محیط زیست ساحلی و دریایی
اسفند 1401
صفحه 15-28