Greenhouse gases carried by terrestrial ecosystems are of great significance to the global carbon cycle and climate regulation services. Forests are an important part of terrestrial ecosystems and quantifying the greenhouse gas sequestration potential of forests can analyze global change directly from a biogeochemical perspective. However, greenhouse gases carried by China's forests have not currently be effectively quantified on a large scale. In this study, based on land use data of 2000 and 2010, and previous studies on forest carbon storage, we simulated the sequestration potentials of three main greenhouse gases (CO₂, CH₄, N₂O) in forests in China through a greenhouse gas value model. The results showed that:(1) China's forest area increased slightly from 2.243 million km² in 2000 to 2.246 million km² in 2010; among them, areas of deciduous broad-leaved, evergreen broad-leaved, and coniferous forests all decreased, whereas the areas of mixed and shrub forests increased; (2) correspondingly, the sequestration potential of greenhouse gas for China's forests was equivalent to 154.03 and 154.37 Pg CO₂ in 2000 and 2010, respectively, increasing by about 0.34 Pg CO₂ during our study period. The sequestration potential in evergreen coniferous, evergreen broad-leaved, and deciduous broad-leaved forests decreased during 2000-2010, whereas the sequestration potential in mixed and shrub forests increased. Regarding spatial patterns, sequestration potentials in North, Northwest, and Southwest China all increased largely, with an increase of 0.13, 0.12, and 0.15 Pg CO₂, respectively. The sequestration potential in Northeast China was obviously decreased, with a reduction of about 0.1 Pg CO₂. This study used the localization parameters and model's own parameters to simulate the sequestration potential of greenhouse gases in China's forests for the first time, and compared our simulated results with those from others research. This study also found that various definitions and data sources on forests had many problems. In the future, it is necessary to refine the model parameters within ecosystems under a unified framework and consider using multi-resource data to improve the accuracy of sequestration potential. Model simulation should be used as an important and effective study method.