COMPARING DIFFERENT K-NN SAMPLING METHODS FOR DENSITY ESTIMATION OF WILD PISTACHIO (PISTACIA ATLANTICA DESF.) WITH CLUSTERED SPATIAL PATTERN IN A ZAGROS OPEN STAND

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MOSELOU M.; ERFANIFARD Y.

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Paper Information

Journal: Iranian Journal of Forest and Poplar Research Year:2016 | Volume:23 | Issue:4 Page(s): 626-636

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Title

COMPARING DIFFERENT K-NN SAMPLING METHODS FOR DENSITY ESTIMATION OF WILD PISTACHIO (PISTACIA ATLANTICA DESF.) WITH CLUSTERED SPATIAL PATTERN IN A ZAGROS OPEN STAND

Author(s)

MOSELOU M. | ERFANIFARD Y. | Issue Writer Certificate

Keywords

WILD PISTACHIOQ2

DENSITYQ2

ZAGROSQ2

ERRORQ2

K-NNQ2

Abstract

Density (i.e. number of trees per unit area) is one of the important structural attributes of forest stands which is appropriate to understand forest dynamics. The k-Nearest Neighbour (k-NN) method is a distance sampling method which is commonly used to estimate quantitative attributes in forest inventories. In this study, the K-NN method with five strategies of Nearest Individual (NI), Nearest Neighbour (NN), Random Pairs (RP), Point-Centered Quarter (PCQ), and Quartered Neighbour (QN) was used to estimate the DENSITY of WILD PISTACHIO (Pistacia atlantica Desf.) in ZAGROS woodlands. A natural stand of 45 ha was selected in Bane Research Site, and was fully callipered to derive the true DENSITY. The spatial distribution of trees was clustered (R=0.79 and z=-12.38) with a true DENSITY of 19.44 trees per ha. While applying the K-NN method, different strategies as well ask ranging between 2 and 10 were tested across 46 sample points in a 100100× m2 sampling grid. The results showed that all strategies except PCQ significantly estimated the DENSITY at a=0.05. Furthermore, the number of k and the strategy of k-tree selection affected the accuracy and precision of K-NN results, since NI in k=4, NN in k=7, RP and QN in k=2 estimated the DENSITY with the least ERROR (RMSE and Bias). In conclusion, the optimum K-NN method with appropriate k and strategy could estimate the DENSITY of WILD PISTACHIO trees with clustered spatial distribution in an open stand in ZAGROS woodlands.

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APA: Copy

MOSELOU, M., & ERFANIFARD, Y.. (2016). COMPARING DIFFERENT K-NN SAMPLING METHODS FOR DENSITY ESTIMATION OF WILD PISTACHIO (PISTACIA ATLANTICA DESF.) WITH CLUSTERED SPATIAL PATTERN IN A ZAGROS OPEN STAND. IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, 23(4), 626-636. SID. https://sid.ir/paper/111274/en

Vancouver: Copy

MOSELOU M., ERFANIFARD Y.. COMPARING DIFFERENT K-NN SAMPLING METHODS FOR DENSITY ESTIMATION OF WILD PISTACHIO (PISTACIA ATLANTICA DESF.) WITH CLUSTERED SPATIAL PATTERN IN A ZAGROS OPEN STAND. IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH[Internet]. 2016;23(4):626-636. Available from: https://sid.ir/paper/111274/en

IEEE: Copy

M. MOSELOU, and Y. ERFANIFARD, “COMPARING DIFFERENT K-NN SAMPLING METHODS FOR DENSITY ESTIMATION OF WILD PISTACHIO (PISTACIA ATLANTICA DESF.) WITH CLUSTERED SPATIAL PATTERN IN A ZAGROS OPEN STAND,” IRANIAN JOURNAL OF FOREST AND POPLAR RESEARCH, vol. 23, no. 4, pp. 626–636, 2016, [Online]. Available: https://sid.ir/paper/111274/en

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