Knowledge Graph-Based Stock Enhancement Development in China: Revealing the Current Status of and Strategic Trends in the Marine Sector

In recent years, as a critical measure of marine fishery resource conservation and ecological restoration in China, stock enhancement has become a hotspot in fishery science research both domestically and internationally. Stock enhancement refers to the replenishment and restoration of biological resources in natural waters through artificial propagation, seed rearing, and releasing, thereby alleviating fishing pressure, improving the ecological environment, and promoting the sustainable utilization of fishery resources. As a major marine fishery nation, China attaches great importance to stock enhancement, utilizing it as an important means to advance the construction of marine ecological civilization, promote green fishery development, and achieve fishery resource recovery. Bibliometric methods allow for the systematic review and visual analysis of massive academic literature, helping to identify research hotspots, reveal knowledge structures, and track disciplinary evolutionary trends. This study systematically investigates literature related to stock enhancement in the China National Knowledge Infrastructure (CNKI) and the Web of Science (WoS) core databases by combining bibliometric analysis, CiteSpace visualization analysis, and Excel statistical analysis. A total of 495 relevant publications were retrieved from CNKI, and 489 from WoS. Concurrently, policy documents from China over the past two decades concerning stock enhancement, aquatic biological resource conservation, and ecological restoration were compiled and analyzed. The results indicate that current research hotspots are primarily concentrated on resource recovery, release effect evaluation, artificial reefs, genetic diversity, ecological restoration, and the collaborative construction of marine ranching. Furthermore, research methodologies have progressively evolved from traditional resource replenishment evaluation toward more refined techniques, such as molecular markers, otolith marking, acoustic telemetry, and ecosystem level assessments. Overall, China’s stock enhancement research is steadily transitioning toward ecological, scientific, precise, and intelligent paradigms, with the long-term monitoring of release effects, collaborative ecosystem restoration, and smart resource management emerging as pivotal future research trends. This study provides a valuable reference for theoretical research, policy formulation, and resource conservation practices in China’s stock enhancement domain.