Dynamic Monitoring and Ecological Zoning Based on Eco‐Environmental Quality and Landscape Ecological Risk in Dexing City, China

Mining activities reshape landscape patterns and degrade the eco‐environmental quality significantly. Multidimensional ecological monitoring and ecological zoning based on these two impacts in mining cities need further exploration. Taking Dexing City (DX) as the study area, this study constructed an integrated framework that combines a modified remote sensing ecological index (MRSEI), which incorporates PM2.5 and soil erosion, with landscape ecological risk (LER). We analyzed the spatiotemporal evolution and future trends of MRSEI and LER from 2000 to 2023 using trend analysis, the Mann–Kendall mutation test, and the Hurst exponent analysis, further explored their correlation, and delineated ecological zones (EZs) with a four‐quadrant model. The results showed that low‐MRSEI and high‐LER areas were concentrated in northern urban and mining zones. MRSEI in DX followed a “degradation–improvement” trend, whereas medium‐ and large‐scale mine sites displayed “degradation–improvement–degradation” fluctuations. MRSEI in urban and mining zones is predicted to continue deteriorating, whereas forests in the east and west may show slight improvements. LER rose persistently, especially in urban, agricultural, and mining zones, and acted as a key negative driver of MRSEI. Ecological zoning revealed a reduction in superior and poor EZs, and an expansion in good EZs. However, poor EZs within mine sites continued to grow, highlighting the sustained ecological pressure from mining. Overall, in mining cities, urban development and mining activities remain long‐term ecological hotspots. It is essential to implement differentiated strategies, prioritizing the conservation of natural ecosystems while enforcing stricter regulation and implementing adaptive restoration in mining zones.