Assessing Impact of Physiographic Factors on Spatial Distribution Patterns of Oak Trees in IranMehrdad Mirzaei*, Amir Eslam Bonyad and Jalal Aziz
Faculty of Natural Resources, University of Guilan, Someh Sara, Iran
- *Corresponding Author:
- Mehrdad Mirzaei
Faculty of Natural Resources
University of Guilan, Someh Sara, Iran
E-mail: [email protected]
Received date: November 11, 2016; Accepted date: November 23, 2016; Published date: November 28, 2016
Citation: Mirzaei M, Bonyad E, Aziz J (2016) Assessing Impact of Physiographic Factors on Spatial Distribution Patterns of Oak Trees in Iran.Forest Res 5:190. doi:10.4172/2168-9776.1000190
Copyright: © 2016 Mirzaei M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Spatial pattern is a key attribute of forest ecosystems. Spatial distribution pattern of woody plants, especially trees, has gained many interest by plant ecologists which leads to introducing a large number of different methods for quantifying spatial patterns. The purpose of the present study was the investigation of effects physiographic factors on spatial distribution patterns of oak trees (Quercus brantii var. persica) in western forests of Iran. So, based on systematic-random sampling methods with 400 m × 700 m dimensions, 82 plots (1000 m2) were selected and measured. In each plot, distance of two nearest neighbors to central of plot and physiographic factors including of altitude, slope gradient and aspect were measured. Hopkins, Hinez, Eberhart and C indexes were used to analyze the spatial distribution pattern. All indexes showed a clumped pattern for oak trees in study area without considering effects of physiographic factors. The results of this study showed that in different physiographic condition changes spatial distribution pattern of oak trees. So, physiographic factors have a key role in the determination of spatial distribution pattern.