Artificial Intelligence-Assisted Environmental DNA Metabarcoding and High-Resolution Underwater Optical Imaging for Noninvasive and Innovative Marine Environmental Monitoring

被引:0
|
作者
Yang, Jing [1 ]
Li, Chao [2 ,3 ]
Lo, Linus Shing Him [1 ]
Zhang, Xu [4 ]
Chen, Zhikui [4 ]
Gao, Jing [4 ]
Clara, U. [4 ,5 ]
Dai, Zhijun [6 ]
Nakaoka, Masahiro [7 ]
Yang, Huayong [2 ]
Cheng, Jinping [1 ]
机构
[1] Educ Univ Hong Kong, Dept Sci & Environm Studies, Hong Kong, Peoples R China
[2] Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China
[3] Zhejiang Univ, Ocean Coll, Zhoushan 316021, Peoples R China
[4] Dalian Univ Technol, DUT Sch Software Technol, DUT RU Int Sch Informat Sci & Engn, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian 116620, Peoples R China
[5] Govt Hong Kong SAR, Environm Protect Dept, Environm Assessment Div, Hong Kong, Peoples R China
[6] East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai 200241, Peoples R China
[7] Hokkaido Univ, Field Sci Ctr Northern Biosphere, 1 Aikappu, Akkeshi, Hokkaido 0881113, Japan
关键词
biodiversity monitoring; machine learning; environmental DNA; metabarcoding; underwater optical imaging-based monitoring; EDNA; CHALLENGES; SCIENCE;
D O I
10.3390/jmse12101729
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
To effectively protect the marine environment, it is crucial to establish effective environ mental monitoring platforms. Traditional marine environmental monitoring methods heavily rely on morphological identification and field expertise, with the sampling process being disruptive and potentially destructive to vulnerable marine environments. In light of emerging biomonitoring needs and biodiversity declines, we reviewed the urgently needed, ongoing advances in developing effective, noninvasive, and innovative monitoring methods and systems to examine the complex marine environment for better strategic conservation and protection, using the coral ecosystem as one of the representative forefront examples in marine protection. This review summarizes current trends and efforts in transitioning into more standardizable and automatable utilizations of environmental DNA metabarcoding-based monitoring strategies and high-resolution underwater optical imaging monitoring systems as two of the promising pillars for the next generation of noninvasive biomonitoring and associated applications. The assistance of artificial intelligence for environmental DNA metabarcoding and high-resolution underwater optical imaging into an empowered, all-rounded monitoring platform for enhanced monitoring capacity is discussed as a highly potent direction for future research exploration. This review will be a cornerstone reference for the future development of artificial intelligence-assisted, noninvasive, and innovative marine environmental monitoring systems.
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页数:27
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