Evaluation of systematic random sampling method for quantitative estimation of rare and thick trees in Caspian Forests. (Case study: Kheyroud-Kenar, Naushahr, Iran)
Paper Details
Evaluation of systematic random sampling method for quantitative estimation of rare and thick trees in Caspian Forests. (Case study: Kheyroud-Kenar, Naushahr, Iran)
Abstract
Knowledge and recognition of existence or absence and real type and amount of rare and thick trees in natural stands for studying silviculture, forest management, biodiversity, etc. can be useful. Recognition of number of trees distribution in different diametric classes is necessary not only in the study of progress circumstance of forest stand but also in composing database for value tables and growing stock. Study the importance of number of trees distribution in different classes cannot be ignored in judgment quality of performed cultural operations, method selection and cultural operations appropriate to forest stands in the future. In order to evaluate SRS method for quantitative estimation of rare and thick trees, three compartments (312,313,319) of Gorazbon district in Kheyroud -Kenar, Naushahr forest were selected. SRS was employed for estimation of number & basal area per hectare in rare and thick species but full callipering methods for accurate measurement of the above-mentioned attributes. Results of this study showed that SRS method has underestimated some species such as Wild cherry (Cerasus avium), Mountain elm (Ulmus glabra Hudson), Cappadocian maple (Acer cappadocicum Gled), Large-leaved lime tree (Tilia platyphyllos Scop.) and Velvet maple (Acer velutinum) and overestimated others such as Chestnut-leaved oak (Quercus castaneifolia C.A.M.), Black alder (Alnus glutinosa (L.) Gaertn), and Common hornbeam (Carpinus betulus L.) spices. SRS method did not have an accurate estimation for number of trees distribution per hectare in diametric classes more than 100 for Chestnut-leaved oak, Common hornbeam and Velvet maple spices.
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Sohrab Moradi , 2015. Evaluation of systematic random sampling method for quantitative estimation of rare and thick trees in Caspian Forests. (Case study: Kheyroud-Kenar, Naushahr, Iran). J. Biodiv. Environ. Sci., 6(2), 289-296.
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