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http://dx.doi.org/10.5532/KJAFM.2013.15.3.119

Predicting the Effect of Climate Change on Forest Biomass by Different Ecoprovinces and Forest Types in Korea  

Shin, Jin Young (Department of Forest, Environment, and System, Kookmin University)
Won, Myoung Soo (Division of Forest Disaster Management, Korea Forest Research Institute)
Kim, Kyongha (Division of Forest Disaster Management, Korea Forest Research Institute)
Shin, Man Yong (Department of Forest, Environment, and System, Kookmin University)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.15, no.3, 2013 , pp. 119-129 More about this Journal
Abstract
This study was conducted to predict the changes in forest biomass in different ecoprovinces and forest types under climate change scenario based on cumulative data (i.e., digital forest site and climate maps, National Forest Inventory data) and various prediction models. The results from this study showed that predicted changes over time in biomass varied according to ecoprovince and forest type in Korea. A reduction in biomass was predicted for all forest types associated with the mountain, southeastern hilly, and southwestern hilly ecoprovinces. On the other hand, the biomass was predicted to increase for the coniferous forest and mixed-forest types in the central hilly ecoprovince. Furthermore, increases in biomass are predicted for all forest types, except coniferous forests, in the coastal ecoprovince. The results from this study provide a basis for developing technology to predict forest impacts due to climate change by predicting changes in forest biomass based on the estimation of site index.
Keywords
Climate change scenario; Forest biomass; Ecoprovince; Site quality; National forest inventory;
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Times Cited By KSCI : 1  (Citation Analysis)
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