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4 期                          单秀娟,等:数据驱动的近海渔业资源评估                                         50 卷

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                             Data-driven assessment of coastal fisheries resources



                                                 1,2*
                                                                   3
                                   SHAN Xiujuan  ,     CHEN Zuozhi  ,     REN Qingqiang  1,2
                  (1. State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute,
                                     Chinese Academy of Fishery Sciences, Qingdao 266071, China;
                  2. Shandong Changdao Fishery Resources National Field Observation and Research Station, Yantai 265800, China;
                  3. South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510000, China)


              Abstract: Coastal fisheries resources serve as a critical foundation for high-quality animal protein supply and the blue eco-
              nomy in China. Under the combined pressures of intensified human activities and climate change, these resources are facing
              challenges  including  impaired  recruitment  capacity,  increased  population  fluctuations,  and  heightened  community  structure
              changes, underscoring an urgent need for more accurate assessments to support science-based management. This Special Issue
              focuses on the core requirements for sustainable utilization of coastal fisheries resources and systematically presents recent
              advances  across  the  key  processes  of  “monitoring-assessment-management”.  Conceptually,  they  expand  from  single-stock
              dynamics to integrated analyses of community structure and habitat processes, thereby promoting a shift in management object-
              ives toward an ecosystem perspective. Technically, they highlight the development of multi-source, multi-dimensional, and low-
              disturbance  monitoring  systems,  and  advocate  reducing  ecological  impacts  through  improved  understanding  of  fishing-gear
              selectivity and optimization of operational practices. For decision-making, in response to growing demands for data-driven gov-
              ernance, they introduce models and algorithms that strengthen uncertainty analysis and facilitate strategy evaluation, providing
              methodological support for risk-constrained, fine-scale, and adaptive management.
              Key words:  coastal  fisheries  resources;  survey-based  assessment;  multi-dimensional  monitoring;  ecosystem-based  manage-
              ment; management strategy evaluation
              Corresponding author: SHAN Xiujuan. E-mail: shanxj@ysfri.ac.cn
              Funding projects: National Key Research and Development Program of China (2024YFD2400405)











              中国水产学会主办  sponsored by China Society of Fisheries                          https://www.china-fishery.cn
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