کارایی روش‌های زمین‌آمار در پهنه‌بندی احتمال حضور زادآوری بلوط ایرانی

نوع مقاله : علمی - پژوهشی

نویسندگان

1 کارشناسی ارشد جنگلداری، دانشکده کشاورزی و منابع طبیعی، دانشگاه یاسوج، یاسوج، ایران

2 استادیار، گروه جنگلداری، دانشکده کشاورزی و منابع طبیعی، دانشگاه یاسوج، یاسوج، ایران

چکیده

برای بررسی کارایی مدل­های زمین‌آماری ناپارامتری شامل کریجینگ و کوکریجینگ شاخص و احتمال در پهنه­بندی احتمال حضور زادآوری بلوط ایرانی (.Quercus brantii Lindl) در عرصه جنگل و پیشنهاد مناسب­ترین مدل، عرصه جنگلی به وسعت 200 هکتار در نزدیکی شهر یاسوج به­­صورت منظم - تصادفی در شبکه­­ای به ابعاد 150×250 متر آماربرداری شد. مشخصه­های عمومی و جنگل­شناسی توده جنگلی در قطعات نمونه­ دایره­ای شکل اصلی با مساحت 1000 مترمربع و تعداد زادآوری­ بلوط ایرانی در چهار عدد قطعه­نمونه دایره­ای شکل هر یک با شعاع 55/1 متر در راستای چهار جهت اصلی جغرافیای
به­ فاصله نه متر از مرکز قطعه­نمونه اصلی آماربرداری شد. برای ترسیم واریوگرام از برازش مدل­های سقف­دار دایره­ای، کروی، تترااسفریکال، پنتااسفریکال، نمایی، گوسی، رشنال کوادراتیک، اثر حفره، کی بیسل، جی بیسل و پایدار استفاده شد. برای اعتبارسنجی دقت مدل از روش ارزیابی متقابل استفاده شد. مدل کریجینگ احتمال پنتااسفریکال دارای قوی­ترین ساختار مکانی (63/75 درصد) و بالاترین مقدار اعتبار از نظر دقت شامل شاخص­های ME (0106/0-)، ASE (4424/0)، RMSE (4470/0) و RMSS (0113/1) است و به­عنوان مناسب­ترین مدل پیشنهاد می­شود. رسم نیم تغییرنمای زادآوری و برازش مدل ذکر­شده بر وجود ناهمسانگردی در کمیت نیم تغییرنما دلالت دارند.

کلیدواژه‌ها


عنوان مقاله [English]

The efficiency of geostatistical methods in zoning the probability of presence of Persian Oak regeneration

نویسندگان [English]

  • Shirin Alizadeh 1
  • Alireza Salehi 2
  • Mohammad Reza Mirzaei 2
1 M.Sc. of Forestry, Faculty of Agriculture and Natural Resources, Yasouj University, Yasouj, I. R. Iran
2 Assistant professor, Department of Forestry, Faculty of Agriculture and Natural Resources, Yasouj University, Yasouj, I. R. Iran
چکیده [English]

To study on competence of nonparametric geostatistical models including Indicator Kriging, Probability Kriging, Indicator Cokriging and Probability CoKriging, in zoning the probability of presence of Persian oak (Quercus brantii Lindl) regeneration in a forest stand to suggest the most suitable model and produce its related map, a forest stand with an area about 200 ha in nearby Yasouj was inventoried. Using a systematic random grid, 150 m by 250 m, general and silvicultural characteristics of the forest stand were inventoried in circular sample plots with an area of 1000 m2. the number of Persian oak regeneration were counted
To study on competence of nonparametric geostatistical models including Indicator Kriging, Probability Kriging, Indicator Cokriging and Probability CoKriging, in zoning the probability of presence of Persian oak (Quercus brantii Lindl) regeneration in a forest stand to suggest the most suitable model and produce its related map, a forest stand with an area about 200 ha in nearby Yasouj was inventoried. Using a systematic random grid, 150 m by 250 m, general and silvicultural characteristics of the forest stand were inventoried in circular sample plots with an area of 1000 m2. the number of Persian oak regeneration were counted in four small-circular plots with a radius of 1.55 m located with a distance of nine meters from the center of the main plots in line with the four main geographic directions. Using Geostatistic Analysis in ArcGIS10.2, the models of circular, spherical, tetraspherical, pentaspherical, exponential, gaussian, rational quadratic, hole effect, k-bessel, J-Bessel and stable were fited on the variogram. The cross validation method was used to evaluate the accuracy of the model. The results showed that the pantaspherical model of probability kriging have the strongest spatial structure (75.63%) and the highest level of credit in aspect of accuracy, ME (-0.0106), ASE (0.4424), RMSE (0.4470) and RMSS (1.0113) and would be suggested as the suitable model. After drawing semivariogram of regenerations and fixing the suggested model on that, they indicated on anisotropy in semivariogram quantity.
four small-circular plots with a radius of 1.55 m located with a distance of nine meters from the center of the main plots in line with the four main geographic directions. Using Geostatistic Analysis in ArcGIS10.2, the models of circular, spherical, tetraspherical, pentaspherical, exponential, gaussian, rational quadratic, hole effect, k-bessel, J-Bessel and stable were fited on the variogram. The cross validation method was used to evaluate the accuracy of the model. The results showed that the pantaspherical model of probability kriging have the strongest spatial structure (75.63%) and the highest level of credit in aspect of accuracy, ME (-0.0106), ASE (0.4424), RMSE (0.4470) and RMSS (1.0113) and would be suggested as the suitable model. After drawing semivariogram of regenerations and fixing the suggested model on that, they indicated on anisotropy in semivariogram quantity. The map of spatial distribution of regeneration could be an applicable guide in plantation projects in Zagros Region.

کلیدواژه‌ها [English]

  • Forest regeneration
  • Geostatistics
  • Nonparametric stochastic
  • Yasouj
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