引用本文:	朱明亮,孙晓霞,赵辰浩,梁俊华,赵永芳.基于原位图像观测技术的海星监测方法研究[J].海洋科学,2024,48(9):8-.

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基于原位图像观测技术的海星监测方法研究
朱明亮^1,2, 孙晓霞^1,3,4,2, 赵辰浩^1,2, 梁俊华¹, 赵永芳¹
1.中国科学院海洋研究所胶州湾海洋生态系统国家野外科学观测研究站, 山东青岛 266071;2.中国科学院大学, 北京 100049;3.中国科学院海洋研究所中国科学院海洋生态与环境科学重点实验室, 山东青岛 266071;4.青岛海洋科技中心海洋生态与环境科学功能实验室, 山东青岛 266237

摘要:

海星(Asteroidea)暴发是近年来备受关注的生态灾害事件, 给海洋生态和养殖经济造成巨大损失。目前针对海星的调查多采用底拖网或潜水员下潜采集的方法, 环保性和观测效率都非常低, 缺少针对海星的高效、环保的监测方法。本研究以胶州湾多发的多棘海盘车(Asterias amurensis)为研究对象, 建立了基于腕长的海星个体生物量估算方法和基于水下原位图像的海星监测方法, 首次获取到胶州湾多棘海盘车的原位分布数据, 为海星的监测提供了新的手段和方法。

关键词: 海星(Asteroidea)监测多棘海盘车(Asterias amurensis) 图像观测胶州湾

DOI：10.11759/hykx20240229002

分类号:P714+.5

基金项目:NSFC-山东联合基金重点资助项目(U2006206);崂山实验室科技创新资助项目(LSKJ202204005);中国科学院国际大科学计划培育资助项目(121311KYSB20190029);中国科学院国际伙伴计划重点资助项目(133137KYSB20200002)

Monitoring methods based on in-situ image observation technology for sea stars

ZHU Mingliang^1,2, SUN Xiaoxia^1,3,4,2, ZHAO Chenhao^1,2, LIANG Junhua¹, ZHAO Yongfang¹

1.Jiaozhou Bay National Marine Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;2.University of Chinese Academy of Sciences, Beijing 100049, China;3.Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;4.Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao 266237, China

Abstract:

Sea star outbreaks are ecological disasters that have resulted in tremendous losses to marine ecology and aquaculture-based economies, drawing significant attention. Currently, bottom trawling or diving and collection methods are predominantly employed in sea star investigation. However, they demonstrate extremely low levels of environmental protection and observation efficiency, indicating that an efficient and environmentally friendly approach is required urgently. This study examined the prevalence of Asterias amurensis in Jiaozhou Bay. Methods for estimating the biomass of individual sea stars based on their radii and monitoring methods using underwater in-situimages were established. Moreover, the in-situ distribution of A. amurensis in Jiaozhou Bay was obtained for the first time, providing a novel approach to monitoring and studying sea stars.

Key words: Sea star monitoring Asterias amurensis Image observation Jiaozhou Bay