[Evolution of Wetland Habitat Quality and Multi-Scenario Simulation in Coal Resource-based Cities of the Eastern Huang-Huai Region: A Case Study of Huaibei].
摘要
Restoring biodiversity is a key component of ecological rehabilitation in mining areas. The coal resource-based cities in the eastern Huang-Huai Region are typical mining areas with a high underground water level, where coal mining and urbanization have profoundly impacted regional wetland ecological functions. To reveal the processes and trends of wetland habitat quality changes in coal resource-based cities in the eastern Huang-Huai Region, this study takes Huaibei City as a case and develops a land use scenario simulation model and dataset tailored to the characteristics of mining areas with high underground water levels. Based on land use results of 2012 and 2022, four wetland landscape evolution scenarios are simulated for 2032. Subsequently, a comparative analysis of wetland habitat quality trends across different scenarios was conducted using the In-VEST model. ①The results indicate that from 2002 to 2022, the habitat quality of wetlands in the study area showed an initial increase followed by a decrease, a trend inversely correlated with changes in wetland area. ② Under the land reclamation priority scenario, wetland habitat quality showed improvement by 2032, while all other scenarios exhibited declining trends. Among the scenarios, the wetland conservation priority scenario outperformed the natural development scenario, while the urbanization priority scenario exhibited the lowest performance. ③Spatial autocorrelation analysis showed that changes in habitat quality exhibited overall positive correlation. The area of H-H clusters was the largest in the land reclamation priority scenario, while the L-L clusters was the largest in the urbanization priority scenario. Therefore, rational regulation through territorial spatial planning can achieve balanced development between wetland habitat functionality restoration and agricultural land restoration. The results of this study are highly significant for optimizing spatial planning in resource-based cities, impro