Estimation of Growing Stock and Carbon Stock based on Components of Forest Type Map:The case of Kangwon Province

摘要

This research aimed to provide a method to estimate growing stock and carbon stock using the characteristics of forest type map such as the age-class, DBH class and crown density class. We transformed the growing stock data of national forest inventory (mainly Kangwon-do province) onto those of time when the forest type map was established. We developed a simulation model for the growing stock using the transformed data and the characteristics of forest type map by the quantification method I. By comparing partial correlation coefficient, we found that quantification of growing stock was largely affected by age-class followed by crown density class, forest type and DBH class. The growing stock, was estimated as minimum in the broadleaved forest withage-class II, DBH class 'Smalf, and crown density class 'Low' as 20.0 mVha, whereas showed maximum value in the coniferous forest with age-class VI, DBH class "Large", and crown density class "High" as 305.0 mVha. The growing stock for coniferous, broadleaved, and mixed forest were estimated as 30.5-305.0 m~3/ha, 20.0-200.4 mVha, and 23.8-238.1 mVha, respectively. When we compared the carbon stock by forest type, the carbon stock by age class based on growing stock was maximum when DBH class was 'Large' and crown density class was "High"* regardless of forest type. This estimation of growing stock by using characteristic of forest type can be used to estimate the changes in growing stock and carbon stock resulting from deforestation or natural disaster. In addition, we hope it provide a useful advice when forest officials and policy makers have to make decisions in regard to forest management.