收藏切换
FROM LAGGED FORENSICS TO REAL-TIME DIGNOSIS: A NEW PARADIGM OF INTEGRATED BIOLOGICAL OBSERVATION FOR MARINE HEALTH ASSESSMENT
收藏切换
PDF
Song SUN1, 2, 3, Xiao-Xia SUN1, 2, 3, Wen-Xiao ZANG1, Xin JIN1, Fang ZHANG1, 3, Nan WANG1, 3, Zhong-Li SHA3, 4
Oceanologia et Limnologia Sinica | 2026, 57(3) : 599 - 605
Less
收藏切换
Oceanologia et Limnologia Sinica | 2026, 57(3): 599-605
PERSPECTIVES
FROM LAGGED FORENSICS TO REAL-TIME DIGNOSIS: A NEW PARADIGM OF INTEGRATED BIOLOGICAL OBSERVATION FOR MARINE HEALTH ASSESSMENT
Full
Song SUN1, 2, 3, Xiao-Xia SUN1, 2, 3, Wen-Xiao ZANG1, Xin JIN1, Fang ZHANG1, 3, Nan WANG1, 3, Zhong-Li SHA3, 4
Affiliations
  • 1Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  • 2Jiaozhou Bay Marine Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Laboratory of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Published: 2026-05-30 doi: 10.11693/hyhz20260300077
Outline
收藏切换

Health assessments of marine ecosystems rely heavily on the real-time diagnosis of biological status and functions. However, the “cognitive lag” of traditional biological observation (i.e., the long period from sample collection to species identification and data output, which makes it difficult to reflect rapid changes in the ecosystem promptly) has become the core bottleneck for the operational application of health assessment. This article systematically analyzes the historical roots and contemporary predicaments of this bottleneck, pointing out that it stems from “technological path dependence”, “verification logic paradox”, and “observation network absence”. To break through this predicament, this article proposes a new biological observation paradigm that will enable the shift from “lagging evidence collection to real-time diagnosis”. This paradigm includes three core dimensions: at the cognitive level, it will survey the “complete species set”, track the “functional fingerprints”, and identify key ecological function signals; at the technical level, it will construct a “real-time perception-quality control verification” collaborative technical system, integrate cutting-edge measures such as environmental DNA, in situ imaging, and intelligent acoustics, and innovatively iterate the verification mode; at the network level, through the development of modular intelligent biological sensing modules, it will embed biological sensing capabilities in the global observation network in an “plug-and-play” manner, achieving automated and continuous perception of biological signals. This paradigm shift aims to upgrade biological observations to a forward-looking information infrastructure that supports real-time health diagnoses and early warnings regarding marine ecosystems.

marine ecosystem health  /  integrated biological observation  /  real-time diagnosis  /  functional fingerprint  /  eDNA  /  observation paradigm
Song SUN, Xiao-Xia SUN, Wen-Xiao ZANG, Xin JIN, Fang ZHANG, Nan WANG, Zhong-Li SHA. FROM LAGGED FORENSICS TO REAL-TIME DIGNOSIS: A NEW PARADIGM OF INTEGRATED BIOLOGICAL OBSERVATION FOR MARINE HEALTH ASSESSMENT[J]. Oceanologia et Limnologia Sinica, 2026 , 57 (3) : 599 -605 . DOI: 10.11693/hyhz20260300077
Year 2026 volume 57 Issue 3
PDF
209
99
Cite this Article
BibTeX
Article Info
doi: 10.11693/hyhz20260300077
  • Receive Date:2026-03-31
  • Online Date:2026-08-06
  • Published:2026-05-30
Article Data
Affiliations
History
  • Received:2026-03-31
  • Revised:2026-05-04
Affiliations
    1Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
    2Jiaozhou Bay Marine Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
    3University of Chinese Academy of Sciences, Beijing 100049, China
    4Laboratory of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
References
Share
https://castjournals.cast.org.cn/joweb/hyyhz/EN/10.11693/hyhz20260300077
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT