Coastal protection and restoration are essential for achieving sustainable development in coastal regions facing intensifying climate and development pressures. However, under the implementation of coastline occupation-compensation balance policies, the lack of systematic approaches for identifying restoration priority areas remains a major challenge. We developed a multi-dimensional spatial decision framework to identify Priority Areas of Coastline Restoration (PACR) for the mainland coastline of Shandong Province, China, based on Landsat imagery (1984-2025, 30-m resolution). The framework integrates three key dimensions: Coastline Fragmentation Degree (CFD), Stability of Coastline (SC), and Coastal Ecological Carrying Capacity (CECC), enabling a comprehensive assessment of restoration priorities under heterogeneous coastal conditions. Our results revealed that: (1) CFD exhibited significant scale dependency, following a power-law scaling relationship with observational scale (R²>0.98), indicating that coastline fragmentation assessment is highly sensitive to spatial scale. (2) SC displayed pronounced spatial heterogeneity, with high- and extremely-high-stability areas accounting for 33.74% and 25.92% of the total coastline, respectively. (3) CECC showed a U-shaped temporal trajectory from 2010 to 2025, declining before 2016 and increasing thereafter, suggesting a shift in the balance between coastal development and ecological management. (4) The PACR framework identified southern Qingdao, northern Weifang, and eastern Rizhao as high-priority restoration areas, whereas the Yellow River Delta and other ecologically intact coastal zones showed relatively low restoration priorities. This study provides a spatially explicit decision-support framework for optimizing coastline restoration prioritization under occupation-compensation balance policies, offering new insights into ecosystem-based coastal management and climate-resilient shoreline governance.
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Jiao et al. (2026) studied this question.
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