Author(s)

Arash Karami¹, Saeed Karimi^2*, Elham Shahi²

¹Expert at the Department of Forests, Rangeland and Watershed, Tehran, Iran.
²Faculty of Environment, University of Tehran, Tehran, Iran.

In order to determine the relationship between physiographical factors and regeneration changes in forests, and to improve and model natural regeneration status, Gorazbon district in Kheyrod Forest was selected for the study. All available regeneration patches in the area were selected. To achieve spatial structure and quantify metrics related to regeneration patches, the analysis of landscape metrics was used. The results show that 692 regeneration patches were identified at the level of different directions. LAND Metric show the most regeneration percent is related to the western (9%), southern (8.66%), flat areas (8.33%), northern (5.68%) and eastern (4.73%), respectively. In total, the patch coverage level percentage was calculated in the landscape (8.31%). The results related to patch shape metric show that most shapes of patches follow polygon structures and do not have fixed shapes. Results related to the average area of the patch metric show that the average level of patches is between 4 and 5 R. The maximum and minimum distance between patches was observed in the survey between 39 and 520 m respectively. According to the results of the distance average between patch metric, the distribution of patches is random in the southern and western directions, flat areas and pile, but it is uniform in northern directions. It should be noted that the distribution and structure of patches in the northern directions has a better distribution and homogeneity than the other directions. Its canals are used as a natural regeneration model to follow the natural phenomena in forest sustainable management.

Geographical Directions, Natural Distribution, Kheyrod Forest, Metrics, Landscape

Karami, A. , Karimi, S. and Shahi, E. (2017) Assessment Capability Forest Regeneration in Different Geographical Aspects Approach Landscape Ecology. Open Journal of Ecology, 7, 535-553. doi: 10.4236/oje.2017.79036.