Enhancing ecological sustainability in ion-adsorption rare earth mining areas: A multi-scale model for assessing spatiotemporal dynamics and ecological resilience

• An improved ecological carrying capacity (ECC) evaluation model for ionic rare earth mines is proposed, which combines multi-factor interaction analysis to enhance the assessment accuracy. • An ecological restoration assessment framework for mining areas based on spatial and temporal dynamic changes was constructed. • The synergistic effect of natural and anthropogenic factors on the ECC of rare earth mines is revealed. • The ecological optimization strategy of “zone management and hierarchical restoration” is proposed to provide practical reference for the ecological management of mining areas. • The balance between ecological protection and economic development is emphasized to help realize the goal of sustainable development in the mining area. With the increasing global demand for Rare Earth (RE) resources, ionic RE deposits, characterized by a high concentration of medium and heavy RE elements, have become critical to strategic resource planning. These deposits are primarily located in southern China's hilly and mountainous regions, where RE elements are adsorbed onto clay minerals in an ionic state. The deposits are small, scattered, and predominantly mined through solution leaching, a method effective for resource extraction but with severe ecological repercussions, including soil, vegetation, and water degradation. Currently, quantitative assessment methods for evaluating the Ecological carrying capacity (ECC) of ionic RE mining areas on a regional scale remain limited. To address this gap, this paper presents an ECC evaluation model based on the Driver-Pressure-State-Impact-Response (DPSIR) framework, tailored specifically for ionic RE mining areas. Twenty-two ecological indicators were selected to capture the unique environmental conditions of these sites, forming a comprehensive ECC evaluation model applicable to ion-adsorbed RE mining areas. Using Lingbei in Dingnan County, China, as a case study, we conducted a long-term dynamic analysis of the mining area's ECC and employed geospatial analysis to identify the key drivers and their multidimensional interactions across various periods, examining the evolution patterns of critical ecological factors. The results reveal that: (1) from 2000 to 2020, the ECC of the Lingbei RE mining area exhibited a general trend of initial decline followed by improvement. From 2000 to 2010, ECC consistently declined, with moderate ECC zones shifting to poor categories. Since 2010, however, ECC has gradually improved, with the poor ECC zones recovering to moderate levels by 2020. (2) Throughout 2000–2020, vegetation cover (S1) was consistently the primary driver of ECC in the mining area. Early-stage ecological degradation was driven primarily by vegetation loss and desertification (P3), with additional impacts from climatic factors such as surface heat (D3) and precipitation (D5). After 2010, vegetation recovery contributed to improved ECC, while pressures from desertification and climate stress eased. Contributions from biodiversity (S4) and soil organic matter (S3) also increased, and interactions between any two factors had a significantly greater effect on ECC than single factors alone. This study highlights the critical role of vegetation recovery and environmental interactions in improving the ECC of ionic RE mining areas. The findings provide insights into key drivers and pressures, offering guidance for mitigating environmental degradation and promoting sustainable development in RE mining regions.