首页|船舶自动识别系统(AIS)数据在海洋渔业中研究应用现状

船舶自动识别系统(AIS)数据在海洋渔业中研究应用现状

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在全球海洋主要经济渔业资源衰退的背景下,如何保护和可持续开发利用海洋渔业资源受到全球各国、地区和组织高度重视,一直是研究热点。受传统海洋渔业数据的制约,一直难以全面了解远洋渔船的捕捞足迹,因此,无法对其实行有效监控和管理。船舶自动识别系统(automatic identification system,AIS)提供的全球远洋渔船轨迹数据可以用于量化分析从单艘到全球渔船行为,挖掘的历史捕捞强度空间信息可为海洋捕捞活动的监测管理和生态压力评估提供良好的可替代数据来源,成为近年海洋信息和海洋渔业研究的新热点。为促进AIS数据在我国海洋渔业中的研究应用,对AIS近年的研究内容和应用现状进行总结,指出AIS数据目前研究的不足和未来潜在的研究方法,以期为AIS在海洋渔业中的研究和应用提供参考。
Research and Application of AIS Data in Marine Fisheries
Against the backdrop of the global decline of major economic fisheries resources in the global oceans,how to protect and sustainably develop ocean fisheries resources has been highly valued by countries,regions,and organizations worldwide,and has been a hot research topic.Due to limitations of traditional marine fisheries data,it has been difficult to fully understand the catch footprint of distant fishing vessels and make effective monitoring and management.The global distant fishing vessel trajectory data provided by the automatic identification system(AIS)can be used to quantitatively analyze the behavior of individual to global fishing vessels,and the historical catch intensity spatial information uncovered can provide a good alternative data source for monitoring and management of marine fishing activities and assessment of ecological pressure,becoming a new hotspot in marine information and marine fisheries research in recent years.In order to promote the research and application of AIS data in China's marine fisheries,the research contents and application status of AIS in recent years were summarized and introduced,the shortcomings of AIS data research at present and potential research methods in the future pointed out,which provided a reference for the research and application of AIS in marine fisheries.

AISmarine fisheriesfishing statefishing intensityfishing ground information

于琳琳、樊伟、张衡、戴阳、万里骏、王斐、石永闯、杨胜龙

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上海海洋大学信息学院,上海 201306

中国水产科学研究院东海水产研究所,农业农村部渔业遥感重点实验室,上海 200090

中国水产科学研究院,渔业资源与遥感信息技术重点开放实验室,上海 200090

大连海洋大学航海与船舶工程学院,辽宁 大连 116023

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AIS 海洋渔业 渔船作业状态 捕捞强度 渔场信息

崂山实验室专项中央级公益性科研院所基本科研业务费专项国家重点研发计划国家重点研发计划

LSKJ2022018042019T092019YFD09014042019YFD0901405

2024

中国农业科技导报
中国农村技术开发中心

中国农业科技导报

CSTPCD北大核心
影响因子:1.252
ISSN:1008-0864
年,卷(期):2024.26(5)
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