برآورد حجم پسماند چوبی درشت کف جنگل با استفاده از نمونه‌برداری با احتمال به نسبت اندازه

نوع مقاله : علمی- پژوهشی

نویسندگان

1 کارشناس ارشد جنگلداری، دانشکده منابع طبیعی و علوم دریایی دانشگاه تربیت مدرس

2 استادیار، دانشکده منابع طبیعی و علوم دریایی دانشگاه تربیت مدرس

چکیده

روش­های مبتنی بر نمونه­ برداری با احتمال به نسبت اندازه جدید­ترین و بهترین روش­های معرفی‌شده برای برآورد کمیت­ های مختلف پسماند چوبی درشت در سال­های اخیر هستند. این روش­ها هر قطعه پسماند چوبی درشت را با احتمال متناسب با پارامترهای مختلف (طول، مربع طول، حجم و غیره) انتخاب می­کنند. در پژوهش پیش‌رو ضمن معرفی نمونه ­برداری با فاصله محدود و پروتوکلی از نمونه­ برداری با سطح ثابت (پروتوکل Sausage) که قطعات پسماند چوبی درشت را با احتمال متناسب با طول آنها انتخاب می­ کنند، دقت و صحت هر دو روش برای برآورد حجم پسماند چوبی درشت بررسی و مقایسه شد. برای این منظور در یک توده بهره ­برداری‌نشده، یک قطعه 250×250 متر به­ صورت صددرصد آماربرداری شد و نقشه قطعات به ­دست آمد، سپس با استفاده از بسته SampSurfدر محیط نرم­ افزار R روش­ های مورد بررسی شبیه ­سازی شد و دقت و صحت روش­ ها بررسی شد. برای بررسی دقت از شاخص درصد ضریب تغییرات و برای صحت از شاخص اریبی نسبی استفاده شد. نتایج نشان داد که هر دو روش مورد بررسی برای برآورد حجم پسماند چوبی درشت نااریب هستند (مقادیر اریبی برای شعاع و فاصله­ های مختلف کمتر از یک بود). ازنظر دقت، دقت نمونه ­برداری با سطح ثابت (پروتوکل Sausage) نسبت به نمونه­ برداری با فاصله محدود برای برآورد حجم پسماند چوبی درشت بیشتر بود. بنابراین با توجه به نتایج به ­دست‌آمده می­توان نمونه­ برداری با سطح ثابت (پروتوکل Sausage) را روشی مناسب ازنظر دقت و صحت برای برآورد حجم پسماند چوبی درشت در یک جنگل هیرکانی معرفی کرد.

کلیدواژه‌ها


عنوان مقاله [English]

Estimating the volume of coarse woody debris of forest floor using sampling with probability proportional methods

نویسندگان [English]

  • Somayyeh Izadi 1
  • Hormoz Sohrabi 2
1 M. Sc. Forestry, Natural Resources and Marine Science Faculty, Tarbiat Modares University, Noor, Iran
2 Assistant Prof., Natural Resources and Marine Science Faculty, Tarbiat Modares University, Noor, Iran
چکیده [English]

A variety of new methods have been proposed by ecologists and biologists for data collection on different attributes of coarse woody debris (CWD). Amongst others methods based on probability proportional to size are the newest techniques. These approaches are based on selecting individual logs into the sample unite using some forms of unequal probability sampling. In the present study, we aimed to introduce “Distance Limited Sampling” (DLS) and “Sausage protocol” of “Fixed Area Method” as well as assessing their precision and accuracy for estimating volume of CWD. These methods select individual logs into the samples using probability proportional to length of the logs. To collect the data, a set of attributes including location, top and bottom diameter and length of all logs in a 250×250 m plot in an un-harvested temperate forest were fully inventoried, and the location of logs were mapped. Then different methods with different sample unit sizes were simulated in R programming language environment using SampSurf package. Results indicated that both methods are unbiased. Considering precision of the estimates, Sausage protocol of fixed area sampling led to more precise estimates of volume of the loges than those estimated by DLS. Consequently, Sausage protocol is concluded for further usage as a promising method in the field due to its unbiasedness and production of highly-precise estimates.

کلیدواژه‌ها [English]

  • Bias
  • Sausage protocol
  • fixed area sampling
  • distance limited sampling
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