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Estimation of forest Site Productivity by Regional Environment and Forest Soil Factors  

Won Hyong-kyu (Division Forest Soil, KFRI)
Jeong Jin-Hyun (Division Planning and Cooperation, KFRI)
Koo Kyo-Sang (Division Forest Soil, KFRI)
Song Myung Hee (Department of Forest Resources, Kookmin University)
Shin Man Yong (Department of Forest Resources, Kookmin University)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.7, no.2, 2005 , pp. 132-140 More about this Journal
Abstract
This study was conducted to develop regional site index equations for main tree species in Gangwon, Gyunggi-Chungcheong, Gyungsang, and Jeolla area of Korea, using environmental and soil factors obtained from a digital forest site map. Using the large data set obtained from the digital forest map, a total of 28 environmental and soil factors were regressed on site index by tree species for developing the best site index equations for each of the regions. The selected main tree species were Larix 1eptolepis, Pinus koraiensis, Pinus densiflora, Pinus thunbergii, and Quercus acutissima. Finally, four to five environmental and soil factors by species were chosen as independent variables in defining the best regional site index equations with the highest coefficients of determination $(R^2)$. For those site index equations, three evaluation statistics such as mean difference, standard deviation of difference and standard error of difference were applied to the data sets independently collected from fields within the region. According to the evaluation statistics, it was found that the regional site index equations by species developed in this study conformed well to the independent data set, having relatively low bias and variation. It was concluded that the regional site index equations by species had sufficient capability for the estimation of site productivity.
Keywords
Digital forest site map; Environment and soil factors; Evaluation statistics; Forest site productivity; Site index;
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