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http://dx.doi.org/10.14578/jkfs.2022.111.4.630

Development of Weight Estimation Equation and Weight Table in Pinus densiflora Stand (Kangwon and Centr al Distr icts)  

Jintaek, Kang (Forest ICT Research Center, National Institute of Forest Science)
Jongsu, Yim (Forest ICT Research Center, National Institute of Forest Science)
Chiwung, Go (Forest ICT Research Center, National Institute of Forest Science)
Sangmin, Sung (Forest Research Bureau, Korea Forest Conservation Association)
Yeongmo, Son (Forest Research Bureau, Korea Forest Conservation Association)
Publication Information
Journal of Korean Society of Forest Science / v.111, no.4, 2022 , pp. 630-643 More about this Journal
Abstract
This study was conducted to derive the fresh weight and dry weight estimation formulas of Pinus densiflora and prepare a weight table using them. Aone-variable formula using only the diameter at breast height (DBH) and a two-variable formula using DBH and height were used to calculate the fresh and dry weight. Each equation was verified using statistics, such as fit index, standard error, and residuals. Theoptimal equation was evaluated for applicability by calculating the weight as a coefficient derived from a statistical verification. W = bD+cD2 was selected for the one-variable equation, while W = aDbHc was selected for the two-variable equation. The fit index of the former was 0.87-0.92, while that of the latter was 0.94-0.98, both of which showed a good fit. A new weight table was prepared using the optimal estimation formula, and it was compared and analyzed with a previous weight table. Analysis results showed that Gangwon pine had higher values in the previous weight table, while pines in the central region had higher values in the newly created weight table.
Keywords
dry weight; green weight; Pinus densiflora; weight estimation equation; weight table;
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