Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 1 | Page No.: 152-157
DOI: 10.3923/jas.2008.152.157
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

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

Abstract:
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.
PDF Fulltext XML References Citation Report Citation
How to cite this article:

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

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom