North Korea is a country in the Mid-Latitude Ecotone suffering from forest degradation due to climate change and deforestation. An efficient long-term and integrated restoration plan is still missing in the country. In this context, our research addressed the question if we can develop an optimal forest restoration plan for North Korea considering regional and national strategies based on biophysical modeling. This study aims to model afforestation scenarios and assess future management options. We mapped the potential afforestation area and simulated afforestation scenarios by using the Global Forest Model (G4M) being developed at IIASA. The methodology was built upon work and experience gained from modeling afforestation scenarios for South Korea which has been carried out jointly between Korea University (KU) and IIASA’s AFE group over the past years. The model used highresolution of time series satellite data, land cover maps and yield tables provided by KU. For each scenario, we assessed the forest restoration options informed by national forest management strategies in North Korea. The analysis delivers important information to policymakers and technical officials establishing regulations and action plans for forest management in the North Korea.