Bangping Deng

Marine ecological assets (MEAs) comprise habitats, living resources, and ecosystem services and are globally fundamental to biodiversity conservation, climate regulation, and sustainable development. However, the establishment of systematic frameworks for MEA definition, classification, and valuation faces considerable conceptual and methodological challenges, particularly in rapidly industrializing nations with urgent marine conservation priorities. We reviewed the theoretical evolution, methodological development, and practical implementation of MEA accounting in China and propose an integrated framework that bridges conceptual gaps and supports evidence-based policy for sustainable marine governance. Our comprehensive analysis covers domestic and international literature, policy documents, technical standards, and case studies. We developed a definition that incorporates ownership attributes and dynamic management elements, and constructed a three-in-one classification system that integrates resource characteristics, ecological functions, and governance needs from existing international frameworks adapted to the governance context in China. We identified seven multidimensional MEA attributes and systematically evaluated mainstream valuation methods (market-based, alternative market, and hypothetical market approaches) across different marine ecosystem types (e.g., estuaries, coral reefs, mangrove forests). The review provides a coherent theoretical foundation for advancing MEA accounting in China and offers practical pathways for integrating accounting outcomes into policy mechanisms such as ecological compensation, blue carbon trading, and marine spatial planning. Our framework contributes to the operationalization of the philosophy that “lucid waters and lush mountains are invaluable assets” in marine governance and may provide preliminary insights for other nations developing MEA capital accounts to achieve sustainable development goals, although cross-national comparative validation is necessary to assess applicability beyond the Chinese context.

The Ulva prolifera green tide in the South Yellow Sea has erupted annually for many years, posing significant threats to coastal ecology, the economy, and society. While environmental factors are widely acknowledged as prerequisites for these outbreaks, the asynchrony and complex coupling between their variations and disaster events have challenged traditional studies that rely on instantaneous correlations to uncover the underlying dynamic mechanisms. This study focuses on the Ulva prolifera disaster in the South Yellow Sea, systematically analyzing its spatiotemporal distribution patterns, the temporal accumulation and lag effects of environmental factors, and the coupled driving mechanisms using the Floating Algae Index (FAI). The results indicate that: (1) The disaster shows significant interannual variability, with 2019 experiencing the most severe outbreak. Monthly, the disaster begins offshore of Jiangsu in May, moves northward and peaks in June, expands northward with reduced scale in July, and largely dissipates in August. Years with large-scale outbreaks exhibit higher distribution frequency and broader spatial extent. (2) Environmental factors demonstrate significant accumulation and lag effects on Ulva prolifera disasters, with a mixed temporal mode of both accumulation and lag effects being dominant. Temporal parameters vary across different factors—nutrients generally have longer lag times, while light and temperature factors show longer accumulation times. These parameters change dynamically across disaster stages and display a clear inshore–offshore gradient, with shorter effects in coastal areas and longer durations in offshore waters, revealing significant spatiotemporal heterogeneity in temporal response patterns. (3) The driving mechanism of Ulva prolifera disasters follows a “nutrient-dominated, temporally relayed” pattern. Nutrient accumulation (PO₄, NO₃, SI) from the previous autumn and winter serves as the decisive factor, explaining 86.8% of interannual variation in disaster scale and 56.1% of the variation in first outbreak timing. Light and heat conditions play a secondary modulating role. A clear temporal relay occurs through three distinct stages: the initial outbreak triggered by nutrients, the peak outbreak governed by light–temperature–nutrient synergy, and the system decline characterized by the dissipation of all driving forces. These findings provide a mechanistic basis for developing predictive models and targeted control strategies.