Abstract
The purpose of this investigation was to develop a method to determine the spatial pattern of trees as a robust indicator to monitor changes from B&W aerial photographs in Persian oak forests of Zagros, Iran. A 500 × 600 m study area was selected in Servak forests next to Yasuj city in Kohgiluyeh-Va-BuyerAhmad Province. All the trees were tagged in the study area and the point map of stems were prepared. The spatial distribution of trees was determined as “dispersed” using nearest neighbour technique. Then the index of “C” calculated by T-square sampling method was applied to the point map of the study area in 30 systematic sample points in a 100 × 100 m network. Comparing the results of this method with the true spatial pattern of the study area showed that “C” can detect the spatial arrangement of trees. Thereafter the index was used on the air photo of the study area that was made of B&W aerial photographs. The method suggested in this study provides a suitable approach for detecting the spatial pattern of trees in Zagros forests on B&W air photos.
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Erfanifard, Y., Feghhi, J., Zobeiri, M. et al. Spatial pattern analysis in Persian oak (Quercus brantii var. persica) forests on B&W aerial photographs. Environ Monit Assess 150, 251–259 (2009). https://doi.org/10.1007/s10661-008-0227-4
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DOI: https://doi.org/10.1007/s10661-008-0227-4