산림 생태계에 활용된 생지화학모형의 국내 적용성 분석

Abstract

Identifying the carbon cycle in forest ecosystems is important when studying climate change. Since 2010, however, most of the suitable process-based biogeochemical models for forest sectors in South Korea have not been validated. For forest ecosystems, Korean and international research using a process-based biogeochemical model was collected and examined in this study. The applicability of models based on methodology, input/output parameters, and the availability of relevant spatio-temporal data was determined. After 2010, a total of 13 models, including one model commonly used by Koreans and foreign studies, were applied, with five originating domestically and nine originating internationally. Global, regional and temporal scales were used in each model, and a variety of targets, including agriculture, forestry and vegetation, were included. The input/output factors in most of the models were comparable. It was found that the CLM3.5-DGVM, MC1, VISIT and BIOME-BGC series models have been used most frequently in Korea and the models are highly applicable. Recent research, however, was limited by poor spatio-temporal resolution and lack of local characteristic data. Future research should include the creation of algorithms that represent forest management and the validation of modeling results using diverse models.