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This study was conducted to estimate the best-fit nonlinear height-DBH growth models for Larix kaempferi in Gangwon and North Gyeongsang province in South Korea. Exponential, Modified Logistic, Chapman-Richards, and Weibull function were used for estimating height-DBH models. To evaluate the selected models, R 2 , RMSE, MD, MAD, and residual plots were performed in each model. Also, the coefficients and patterns in models of the previous studies were compared with those in this study. The result showed that Weibull equation was found to be the best-fit model with R 2 =0.9837, RMSE=2.6133, MD=0.0089, and MAD=2.0896. All model parameters in our study had similar values to those in the previous models except for asymptotic parameter a. Our research result showed that Gangwon and North Gyeongsang province were superior to other provinces with regard to height growth for Larix kaempferi.Key Words: Nonlinear growth models, Exponential, Modified Logistic, Chapman-Richards, Weibull Received: May 6, 2014. Revised: May 10, 2014. Accepted: May 11, 2014.Corresponding author: Jungkee ChoiDepartment of Forest Management, College of Forest and Environm ental Sciences, Kangwon National University, Chuncheon 200-701, Republic of KoreaTel: 82-33-250-8337, Fax: 82-33-259-5617, E-mail: jungkee@kangw on.ac.kr

Nonlinear Height-DBH Growth Models for Larix kaempferi in Gangwon and North Gyeongsang Province