OPTIMIZATION OF RURAL LANDSCAPE ECOLOGICAL NETWORK BASED ON LANDSCAPE ECOLOGICAL THEORY AND CA MARKOV MODEL

With the acceleration of urbanization construction, the contradiction between rural ecological construction and economic development is becoming increasingly prominent. To solve these problems the study takes Yanqian Town in Sanming City as the research object for empirical analysis. Using the landscape dynamic changes in landscape ecology theory, quantitative analysis was conducted on the data of Yanqi Town in China from 2011 to 2021 to study the changes in the use of six major land types. At the same time, the CA Markov model was used to simulate and predict the land use situation in the region in 2026. Finally, the minimum cumulative resistance model (MCR) and gravity model were used to extract and screen ecological corridors, in order to construct the landscape ecological network system of Yanqian Town, Sanming City. The CA Markov model predicts that the forest land in the region will further decrease to 83214.2 ha in 2026, and predicts that the contradiction between construction land, forest land, and grassland will further expand. To this end, the study calculated 4 important ecological corridors using the MCR model and gravity model, and planned a multi-level and multifunctional spatial ecological optimization network in Yanqian Town, Sanming City.