生物多样性
海洋生物多样性
分类学(生物学)
海洋生态系统
生态系统
环境资源管理
全球生物多样性
公民科学
分类等级
栖息地
地理
数据科学
生态学
生物
计算机科学
环境科学
植物
分类单元
作者
Alex D. Rogers,Ward Appeltans,Jorge Assis,Lisa T. Ballance,Philippe Cury,Carlos M. Duarte,Fabio Favoretto,Lisa A. Hynes,Joy A. Kumagai,Catherine E. Lovelock,Patricia Miloslavich,Aidin Niamir,David Obura,Bethan C. O’Leary,Eva Ramírez-Llodra,Gabriel Reygondeau,Callum M. Roberts,Yvonne Sadovy,Oliver Steeds,Tracey Sutton
标识
DOI:10.1016/bs.amb.2022.09.002
摘要
We review the current knowledge of the biodiversity of the ocean as well as the levels of decline and threat for species and habitats. The lack of understanding of the distribution of life in the ocean is identified as a significant barrier to restoring its biodiversity and health. We explore why the science of taxonomy has failed to deliver knowledge of what species are present in the ocean, how they are distributed and how they are responding to global and regional to local anthropogenic pressures. This failure prevents nations from meeting their international commitments to conserve marine biodiversity with the results that investment in taxonomy has declined in many countries. We explore a range of new technologies and approaches for discovery of marine species and their detection and monitoring. These include: imaging methods, molecular approaches, active and passive acoustics, the use of interconnected databases and citizen science. Whilst no one method is suitable for discovering or detecting all groups of organisms many are complementary and have been combined to give a more complete picture of biodiversity in marine ecosystems. We conclude that integrated approaches represent the best way forwards for accelerating species discovery, description and biodiversity assessment. Examples of integrated taxonomic approaches are identified from terrestrial ecosystems. Such integrated taxonomic approaches require the adoption of cybertaxonomy approaches and will be boosted by new autonomous sampling platforms and development of machine-speed exchange of digital information between databases.
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