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Development of Site Index Equations and Assessment of Productive Areas Based on Environmental Factors for Major Coniferous Tree Species  

Lee, Yong Seok (Department of Forest, Environment, and System, Kookmin University)
Sung, Joo Han (Division of Forest Ecology, Korea Forest Research Institute)
Chun, Jung Hwa (Division of Forest Ecology, Korea Forest Research Institute)
Shin, Man Yong (Department of Forest, Environment, and System, Kookmin University)
Publication Information
Journal of Korean Society of Forest Science / v.101, no.3, 2012 , pp. 395-404 More about this Journal
Abstract
This study was conducted to develop site index equations and to estimate productive areas for major coniferous species in Korea such as Pinus densiflora Sieb. et. Zucc, Pinus densiflora for. erect, Larix leptolepis and Pinus koraiensis using environmental factors. Using the large data set from both a digital forest site map and a climatic map, a total of 43 environmental factors including 15 climatic variables were regressed on site index by tree species to develop site index equations. Six environmental factors by species were selected as independent variables in the final site index equations. The result showed that the coefficients of determination for site index equations by species were ranged from 0.36 to 0.56, which seem to be relatively low but good enough for the estimation of forest stand productivity. The site index equations developed in this study were also verified by three evaluation statistics such as the estimation bias of model, precision of model, and mean square error of measurement. According to the evaluation statistics, it was found that the site index equations by species fitted well to the test data sets with relatively low bias and variation. As a result, it was concluded that the site index equations by species were well capable of estimating site quality. Based on the site index equations, the productive areas by species for all forest areas were estimated by applying GIS technique to the digital forest site map and climate map. In addition, the distribution of productive areas by species was illustrated by using GIS technique.
Keywords
forest site productivity; site index equation; climatic factors; productive area; stepwise regression analysis;
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Times Cited By KSCI : 2  (Citation Analysis)
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