Abstract: Afforestation project on sides of the Yangtze River focuses on solving the problems of broken green belts on both sides of the river and the fragile ecological functions of forests, so as to build a continuous, complete and stable forest ecosystem along the Yangtze River. Based on the morphological spatial pattern analysis (MSPA), this paper identified the forest ecological pattern before and after the implementation of the project in Shishou City, screened the forest ecological sources, constructed resistance surfaces by combining the landscape types, human activity intensity and other factors, extracted the forest ecological corridors, graded the importance, and constructed the forest ecological network. The results show that the forest resources in Shishou City are relatively rich, the landscape patches are large and fragmented, which makes it difficult to exchange material and energy with other surrounding landscapes. There is no absolute positive correlation between landscape patches area and the importance of connectivity. The afforestation project on sides of the Yangtze River had promoted the closure of the afforestation fault belt along the Yangtze River and its tributaries, increased the patch area of forest landscape resources, reduced the complexity of the edge, alleviated the fragmentation degree of patches, strengthened the connectivity between forest landscape patches, and was conducive to species migration and gene exchange. After the implementation of the project, the distribution of ecological corridors in the source area was not uniform. Through the ecological network planning, the connection level of forest ecological patches in the study area is significantly improved, and the effectiveness and stability of forest network connection are increased. The rational planning of ecological network can connect forest resources, and the combination of farmland and forest network can form a complex ecological network pattern of mountains, rivers, forests, fields and lakes with stable structure and perfect function.