首页|基于原位图像观测技术的海星监测方法研究

基于原位图像观测技术的海星监测方法研究

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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.
Monitoring methods based on in-situ image observation technology for sea stars
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 ap-proach 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-situ images 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.

sea star monitoringAsterias amurensisimage observationJiaozhou Bay

朱明亮、孙晓霞、赵辰浩、梁俊华、赵永芳

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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

中国科学院大学,北京 100049

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

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

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海星(Asteroidea)监测 多棘海盘车(Asterias amurensis) 图像观测 胶州湾

2024

海洋科学
中国科学院海洋研究所

海洋科学

CSTPCD北大核心
影响因子:0.541
ISSN:1000-3096
年,卷(期):2024.48(9)