Research Article

Comparison of Two Distance Methods for Forest Spatial Pattern Analysis (Case Study: Zagros Forests of Iran)

Yousef ErfaniFard, Jahangir Feghhi, Mahmoud Zobeiri and Manouchehr Namiranian

Regarding to the importance of Zagros forests and spatial pattern studies as a criterion to control changes and monitor forests, two main distance techniques were investigated in this research to suggest a suitable method to study the spatial pattern of trees in Zagros forests. In Kohgiluyeh Va Buyer Ahmad Province, a plot in Servak Forests near Yasuj was chosen as the study area. The 30 ha plot was surveyed by full callipering method and the position of each tree was determined via azimuth and distance measurement to prepare the point map of tree locations. Using Nearest Neighbor Index, the spatial pattern was determined as Dispersed. Then two main distance methods named T-square sampling and Index of dispersion were compared to figure out the most suitable one in the study area as a method of spatial pattern analysis. Comparing the results with the true distribution pattern of trees in the study area showed that T-square sampling is a robust index to detect spatial arrangement of trees.

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Yousef ErfaniFard, Jahangir Feghhi, Mahmoud Zobeiri and Manouchehr Namiranian, 2008. Comparison of Two Distance Methods for Forest Spatial Pattern Analysis (Case Study: Zagros Forests of Iran). Journal of Applied Sciences, 8: 152-157.

DOI: 10.3923/jas.2008.152.157

URL: https://scialert.net/abstract/?doi=jas.2008.152.157

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Authors

Yousef ErfaniFard

Jahangir Feghhi

Mahmoud Zobeiri

Manouchehr Namiranian

Keywords

Research Article

Comparison of Two Distance Methods for Forest Spatial Pattern Analysis (Case Study: Zagros Forests of Iran)

How to cite this article

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