Ramezani, H., Grafstrom, A., Naghavi, H., Fallah, A., Shataee, Sh., Soosani, J. (2016). Evaluation of K-tree Distance and Fixed-Sized Plot Sampling in Zagros Forests of Western Iran. , 18(1), 155-170.
H. Ramezani; A. Grafstrom; H. Naghavi; A. Fallah; Sh. Shataee; J. Soosani. "Evaluation of K-tree Distance and Fixed-Sized Plot Sampling in Zagros Forests of Western Iran". , 18, 1, 2016, 155-170.
Ramezani, H., Grafstrom, A., Naghavi, H., Fallah, A., Shataee, Sh., Soosani, J. (2016). 'Evaluation of K-tree Distance and Fixed-Sized Plot Sampling in Zagros Forests of Western Iran', , 18(1), pp. 155-170.
Ramezani, H., Grafstrom, A., Naghavi, H., Fallah, A., Shataee, Sh., Soosani, J. Evaluation of K-tree Distance and Fixed-Sized Plot Sampling in Zagros Forests of Western Iran. , 2016; 18(1): 155-170.

Evaluation of K-tree Distance and Fixed-Sized Plot Sampling in Zagros Forests of Western Iran

Journal of Agricultural Science and Technology
Article 13, Volume 18, Issue 1, 2016, Pages 155-170    PDF (563.46 K)
Authors
H. Ramezani* 1; A. Grafstrom1; H. Naghavi2; A. Fallah3; Sh. Shataee4; J. Soosani3
1Department of Forest Resource Management, Swedish University of Agricultural Sciences, SLU, SE-901 83 Ume&aring, Sweden.
2Department of Forestry, Lorestan University, P. O. Box 465, Khorram Abad, Islamic Republic of Iran.
3Sari University of Agricultural Sciences and Natural Resources, Department of Forestry, Sari, Islamic Republic of Iran.
4Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Islamic Republic of Iran.
Abstract
Three k-tree distance and fixed-sized plot designs were used for estimating tree density in sparse Oak forests. These forests cover the main part of the Zagros mountain area in western Iran. They are non-timber-oriented forest but important for protection purposes. The main objective was to investigate the statistical performance of k-tree distance and fixed-sized plot designs in the estimation of tree density. In addition, the cost (time required) of data collection using both k-tree distance and fixed-sized plot designs was estimated. Monte-Carlo sampling simulation was used in order to compare the different strategies. The bias of the k-tree distance designs estimators decreased with increasing the value of k. The Moore’s estimator produced the smallest bias, followed by Kleinn and Vilcko andthen Prodan. In terms of cost-efficiency, Moore’s estimator was the best and Prodan’s estimator was superior to Kleinn and Vilcko’s estimator. Cost-efficiency of k-tree distance design is related to three factors: sample size, the value of k, and spatial distribution of trees in a forest stand. Moore’s estimator had the best statistical performance in terms of bias, in all four-study sites. Thus, it can be concluded that Moore’s estimator can have a better performance in forests with different tree distribution.
Keywords
Boundary correction; Monte-Carlo simulation; Oak Forest; Plot less sampling; Variable plot sampling
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