تعیین مناسب‌ترین سطح قطعه نمونه به منظور بررسی الگوی مکانی درختان ارس (Juniperus excelsa) (مطالعه موردی: منطقه آتشگاه کرج)

محورهای موضوعی : منابع طبیعی

وحید علی جانی ¹ (دکتری جنگل‌داری و اقتصاد جنگل، دانشکده منابع طبیعی، دانشگاه تهران، تهران، ایران.* (مسوول مکاتبات))
سید محمد معین صادقی ² (دکتری جنگل‌شناسی و اکولوژی جنگل، دانشکده منابع طبیعی، دانشگاه تهران، تهران، ایران.)
منوچهر نمیرانیان ³ (استاد گروه جنگل‌داری و اقتصاد جنگل، دانشکده منابع طبیعی، دانشگاه تهران، تهران، ایران.)
رضا اخوان ⁴ (دانشیار پژوهش، مؤسسه تحقیقات جنگل‌ها و مراتع کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران.)

تاریخ دریافت : 1395/05/05 تاریخ پذیرش : 1396/02/13 تاریخ انتشار : 1399/07/01

کلید واژه: رقابت, تابع g(r), روابط بین گونه‌ای, ایران-تورانی,

چکیده مقاله :

زمینه و هدف: اخیراً در تحلیل های مرتبط با الگوی مکانی درختان، روش های نوینی توسعه یافته اند که به منظور بررسی، به یک نقشه کامل از موقعیت مکانی درختان نیاز دارند. به کارگیری این روش ها به مقیاس مطالعه بستگی دارد به نحوی که تغییر مقیاس مطالعه می تواند سبب تغییراتی در الگوی مکانی درختان شود. پژوهش حاضر با هدف تعیین مناسب ترین سطح قطعه‌نمونه جهت کمی‌سازی الگوی مکانی درختان ارس دامنه جنوبی البرز صورت پذیرفت. روش بررسی: بدین منظور قطعه‌نمونه ای به مساحت شش هکتار انتخاب و الگوی مکانی درختان با استفاده از تابع g(r) مورد بررسی قرار گرفت. سپس سطح این قطعه‌نمونه به پنج، چهار، سه، دو و یک هکتار کاهش و الگوی مکانی درختان با استفاده از تابع g(r) بررسی و نسبت به سطح مبنای شش هکتاری مقایسه شد. یافته ها: نتایج حاصل از این تابع نشان‌دهنده ی الگوی مکانی یکنواخت در فواصل بین درختی تا چهار متر، الگوی کپه ای در فواصل شش تا ده متر و الگوی تصادفی در سایر فواصل می باشد. نتایج حاصل از مقایسه نمودارهای تابع g(r) در مساحت‌های مختلف نشان داد که روند کلی تابع g(r) تا سطح سه هکتار تقریباً ثابت و در سطوح کوچک تر، تغییر می کند، بنابراین حداقل سطح مناسب در این بررسی، سه هکتار به دست آمد. بحث و نتیجه گیری: تعیین مناسب‌ترین سطح قطعه نمونه در مطالعات ساختاری ضمن افزایش دقت مطالعات می تواند سبب کاهش زمان و هزینه مطالعه گردد.

چکیده انگلیسی:

Background and Objective: In recent years, new methods have been developed for analyzing spatial pattern of trees, and for verifying the spatial pattern, they need to complete map of spatial location of these trees. The use of these methods depends on study scale in a way that changes in study scale cause changes in spatial pattern. In this regard, present study aims to determine the optimum area of sample plots to quantify the spatial pattern of Juniperus Excelsa M. Beib. In southern facing slopes of Alborz mountains. Method: A plot with area of six hectares was selected and spatial pattern of trees were evaluated by using g(r) function. In next step, area of plot decreased to five, four, three, two, and one hectare and spatial pattern of trees were determined by using g(r) function and were compared with six hectare plot. Findings: The results of this function indicates regular spatial pattern in trees distances to four meter, cluster pattern at distances of six to ten meter, and random pattern shows in other distances. The results of comparing figures of g(r) functions in different area showed that the overall trend of this functions almost constant up to three hectares. Hence, in this study the appropriate area is achieved three hectares. Discussion and Conclusion: It should be noted that in structure studies to determine the best area of plot could reduce time and costs while increasing the precision of the study.

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