水产学报2026,Vol.50Issue(4):1-5,5.DOI:10.11964/jfc.20260315415
数据驱动的近海渔业资源评估
Data-driven assessment of coastal fisheries resources
摘要
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.关键词
近海渔业资源/调查评估/立体监测/生态系统管理/管理策略评估Key words
coastal fisheries resources/survey-based assessment/multi-dimensional monitoring/ecosystem-based manage-ment/management strategy evaluation分类
农业科技引用本文复制引用
单秀娟,陈作志,任庆强..数据驱动的近海渔业资源评估[J].水产学报,2026,50(4):1-5,5.基金项目
国家重点研发计划(2024YFD2400405) National Key Research and Development Program of China(2024YFD2400405) (2024YFD2400405)