Evolution and interaction relationship of "eco-economy" dual grid pattern in Lingwu City, Ningxia, China.

Abstract

Strengthening ecological network construction is an important measure to improve urban ecological environment and protect biodiversity. With Lingwu City of Ningxia as an example, based on remote sensing and social and economic data, we comprehensively analyzed the "double network" (ecological network and social and economic landscape) pattern and their relationship by using morphological spatial pattern analysis, Linkage Mapper, and improved gravity model. The results showed that land use/cover changed dramatically from 2000 to 2020 in Lingwu City. The area of sandy land and grassland decreased sharply, that of forest and construction land increased, and industrial zones expanded rapidly. The connectivity and stability of "dual network" were improved. The intensive areas of human activities were distributed in urban area, oasis agricultural areas, and Ningdong energy industrial zone. The ecological source areas and ecological corridors were mainly distributed in the middle of the nature reserve, while some extended to the other three functional areas. The transportation corridor presented an "H" pattern that was dense in oasis agricultural area and Ningdong energy industrial zone, and connected between the two regions. The "double network" were centered around their respective functional area spaces and had interwoven distributions. The trend of the "double network" changed from conflict to coordinated situation, with obvious zoning and interaction in space. The oasis agricultural area and Ningdong energy industrial area destroyed the eco-logy in the early stage and improved that in the later stage. In the future, it is necessary to strengthen the coordination between ecological protection and social and economic development, which could improve ecological quality by combining measures such as improving the quality of ecological sources and corridors, constructing ecological nodes, and repairing ecological disturbance points.