Carbon (C) and nitrogen (N) are fundamental elements that support forest life. The assessment of C and N stocks has been a core focus since the inception of biogeochemistry in terms of the implications of C sequestration and N losses (Högberg et al., 2017;Howarth et al., 2006;Pan et al., 2011). At the ecosystem level, C and N stocks are the balance between (a) input fluxes to forests including photosynthesis, N deposition, and biological N fixation, (b) internal fluxes in forests such as litterfall, N mineralization, and N retranslocation, and (c) output fluxes from forests through respiration, N leaching, and denitrification (Agren & Andersson, 2012;Gundersen, 1991). This balance can be interpreted by turnover time, which represents the average time elapsed between the input of an element to forests and its output from forests in an autonomous Abstract Biogeochemical models use estimates of carbon (C) and nitrogen (N) turnover times for the future projection of global forest C and N stocks, but unexplained variation in the C and N turnover times is causing considerable uncertainty. This study aimed to estimate C and N turnover times of South Korean forests and explain their variation with forest type, temperature, precipitation, stand age, and ecosystem C:N ratio. We used the balance method and data-model fusion to estimate the C and N turnover times. Data-model fusion was used to integrate the National Forest Inventory data (2011-2020) with a biogeochemical model, Forest Biomass and Dead organic matter Carbon and Nitrogen (FBD-CAN). The N turnover time (376-499 years) was ∼45 times longer than the C turnover time (9-10 years). Forest type had no substantial effects on the C and N turnover times. However, the C and N turnover times were positively correlated with stand age and ecosystem C:N ratio, and negatively correlated with temperature. Overall, ecosystem C:N ratio, stand age, temperature, and precipitation explained 45%, 15%, 12%, and 3%, respectively, of the total variation of the C and N turnover times. These results contribute to the understanding and prediction of forest C and N changes in a changing world and highlight the importance of considering C:N ratio for reliable estimation of the C and N turnover times.Plain Language Summary Forests are major sinks of carbon and nitrogen that can cause global warming when present in gaseous forms. Turnover times, referring to the time an element remains in an ecosystem, are measures of the long-term stability of carbon and nitrogen. Models use estimates of turnover times for future projections of carbon and nitrogen cycles, but limited knowledge in turnover times and model uncertainty are causing trouble. Data-model fusion is a technic that combines data and model's output to decrease model uncertainty. We used data-model fusion to estimate carbon and nitrogen turnover times with a model and field-measured carbon and nitrogen data in the South Korean forests. We then explained how forest type, temperature, precipitation, forest age, and carbon:nitrogen ratio a...