Effects of Stratification on Reducing the Number of Sample Plots and Increasing Inventory Accuracy in Mixed uneven-aged Forest Stands

Author: M. Amini*, R. Amini** and Sh. Amini**

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Abstract

After sampling in an area of 1300 hectare, variables were classified based on their correlation. The use of basal area brings greater precision in plannings rather than stand volume. The number of sample plots in the sampling without stratification is much more than needed. If qualitative stratification of the stands is carried out before inventory, the accuracy of data increases while the number of sample plots is reduced. The exclusive use of a stratification variable and using the information obtained from it for judgment and planning of other variables cause to deviation of the results. For identification and analysis of stands structure, the use set of number of trees per hectare, De'liocort coefficient, percentage of the total number of industrial tree species, the shape of distribution curve in diameter classes, statistical comparison for the distribution of the number of trees in diameter classes between the present and optimal conditions lead to more accurate results.

Keywords

Stand volume, structure, basal area, stratification, Hyrcanian forests, high forest.

Conclusion

The use of classification method in the forests similar to the study area in this research project will have a significant impact in reducing the volume and costs of operations, compared to what is usual (common) in no classification method in which vast areas are sampled. The increased accuracy of operations is among the findings of this issue. Therefore, the possibility of increasing the area of sample plots is provided to get more detailed information closer to nature as well as access to the variables having lower contribution in no classification method.

References

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How to cite this article

M. Amini, R. Amini and Sh. Amini (2016). Effects of Stratification on Reducing the Number of Sample Plots and Increasing Inventory Accuracy in Mixed uneven-aged Forest Stands , Biological Forum – An International Journal 8(2): 42-51(2016)