[Objective] State- owned forest farms are the most concentrated areas of forest resources, and studying their forest carbon storage, carbon density, and sink enhancement pathways can help to accurately assess regional forest carbon storage. [Methods] Based on field investigations and laboratory analysis, combined with biomass models of trees and forest resource data, using GIS technology, the distribution characteristics of carbon storage and carbon density of main forest types in Heilongshan Forest Farm were studied, and pathways for increasing carbon sequestration were proposed. [Results] ① The total carbon storage and average carbon density of the forest ecosystem was 1867288.72 t and 173.57 t/hm2. The average carbon density was in the order of soil layer > tree and shrub > humus layer > litter layer > understory shrub layer > understory herbaceous layer. The allocation characteristics of carbon storage was consistent with carbon density. Soil carbon storage was the largestv accounting for 66.30% of the total carbon storage. ② The total carbon storage and carbon density of forest stands was 543831.14 t and 56.72 t/hm2. Betula?platyphylla?and Ulmus?pumila forests were the main body of carbon storage in main forest stands, accounting for 84.36% of the forest stands carbon storage. They are mainly composed of middle-aged and young forests, with great potential for carbon sequestration. ③ Altitude, slope, and aspect regulated the spatial distribution of factors such as water and heat, soil, and human interference, which had a significant impact on the spatial allocation of forest ecosystem carbon storage and carbon density. ④ Under limited conditions for afforestation, the best way to increase sinks is to strengthen the management and nurturing, improve forest quality and reduce carbon emissions. [Conclusion] In the future, the forests of Heilongshan Forest Farm have great carbon sequestration capacity and potential, and the research results can provide basic data for the accurate assessment of forest carbon storage in Hebei Province.