《近海渔业资源可持续利用专刊》序言:数据驱动的近海渔业资源评估

Foreword to the special issue “sustainable utilization of coastal fisheries resources”: data-driven assessment of coastal fisheries resources

  • 摘要: 近海渔业资源是我国优质动物蛋白供给与蓝色经济的重要物质基础。在人类活动和气候变化等多重压力下,渔业资源补充能力受损、种群波动与群落结构变化加剧,亟需以更准确的评估支撑科学管理。本专刊聚焦近海渔业资源可持续利用的核心需求,围绕近海渔业资源“监测—评估—管理”关键环节,系统汇集最新研究进展:在认知层面,从单种群动力学扩展到群落结构与栖息地过程的综合解析,推动管理目标向生态系统视角提升;在技术层面,强调多源、立体与低扰动的监测体系构建,并通过渔具选择性与作业过程优化降低生态影响;在决策层面,面向数据驱动的管理需求,引入模型与算法强化不确定性表达与策略比较,为风险约束、精细化与适应性管理提供方法支撑。

     

    Abstract: Coastal fisheries resources serve as a critical foundation for high-quality animal protein supply and the blue economy 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, by systematically collecting research frontiers 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 objectives toward an ecosystem perspective. Technically, they highlight the development of multi-source, multi-dimensional, and low-disturbance monitoring systems, and advocates 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 governance, they introduce models and algorithms that strengthen uncertainty analysis and facilitate strategy evaluation, providing methodological support for risk-constrained, fine-scale, and adaptive management.

     

/

返回文章
返回