Investigation on application of k-nn (k- nearest neighbor) sampling method in Zagros forests (Case study: Karzan forest, Ilam)

Document Type : Research article

Authors

1 Ph.D. student of forestry, Faculty of Natural Resources, University of Tehran

2 Prof., Faculty of Natural Resources, University of Tehran

3 Associate Prof., Faculty of Natural Resources, University of Tehran

Abstract

For maintaining of Zagros forests role in wild life, water and soil conservation, the suitable solutions and methods for assessing the existing conditions and planning for management of this forests should be given. This study was carried out in forest regions around Ilam city (Karzan region) in a forest area of 86 ha with coppice and seed origin. At first, a 100 percent forest inventory was implemented. The coordinates of each tree on the ground was recorded and their quantitative attributes (crown diameter, DBH of seed origin trees) were measured. Using Arcview software in GIS environment the eight cells sample plots for different inventory networks namely 100 m×100m, 100 m×200m and 200 m×200 m were simulated and statistical analysis were done. The mean value of trees density per hectare for all three networks were calculated and compared with their real data (100 percent inventory) by t-test (α=0.05). Results showed that there is no significant difference between mean values in three inventory networks and the real mean value.

Keywords

References

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Iranian Journal of Forest and Poplar Research
Volume 19, Issue 4 - Serial Number 46
December 2012
Pages 465-453

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