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AN EXPLORATORY CASE STUDY ON ASSESSING THE HEALTH OF JIAOZHOU BAY ECOSYSTEM USING ZOOPLANKTON FUNCTIONAL GROUP INDICATORS
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Wen-Xiao ZANG1, Wei-Cheng WANG2, Xiao-Xia SUN1, 3, 4, 5, Song SUN1, 3, 4, 5,
Oceanologia et Limnologia Sinica | 2026, 57(3) : 755 - 766
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Oceanologia et Limnologia Sinica | 2026, 57(3): 755-766
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AN EXPLORATORY CASE STUDY ON ASSESSING THE HEALTH OF JIAOZHOU BAY ECOSYSTEM USING ZOOPLANKTON FUNCTIONAL GROUP INDICATORS
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Wen-Xiao ZANG1, Wei-Cheng WANG2, Xiao-Xia SUN1, 3, 4, 5, Song SUN1, 3, 4, 5,
Affiliations
  • 1Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  • 2State Key Laboratory of Mariculture Breeding, College of Marine Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
  • 3Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao 266237, China
  • 4Jiaozhou Bay Marine Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  • 5University of Chinese Academy of Sciences, Beijing 100049, China
Published: 2026-05-30 doi: 10.11693/hyhz20251200274
Outline
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Marine ecosystem health is under severe pressure. Therefore, scientific and effective evaluation indicators for its assessment and early warning are urgently required. Plankton is a sensitive indicator of ecosystem changes and is critical in the marine food web, supporting important ecosystem services such as carbon sequestration and fishery production. Based on survey data of Jiaozhou Bay from 2003 to 2013, this study screened two types of zooplankton functional group indicators closely related to environmental changes: the dry weight biomass of traditional forage zooplankton (large crustaceans, large copepods, and small copepods), and the dry weight biomass proportion of gelatinous zooplankton (jellyfish, chaetognaths, and tunicates). These indicators represent the productivity level and stability of the functional group structure, respectively. According to the range and thresholds of the historical data, a graded evaluation standard was established. By constructing a two-dimensional coordinate plane based on zooplankton functional group indicators, according to the graded evaluation standard, the historical health status of the ecosystems in Jiaozhou Bay was classified into ecosystems with benign and risky development. These were further subdivided into seven types of health status, namely, rich-product, healthy-sustainable, benign-development, gelatinous-development, gelatinization, high-risk, and resource-scarce. This study provides a typical case using zooplankton functional groups as assessment indicators to establish an assessment system for offshore ecosystem health.

zooplankton  /  functional group  /  copepods  /  gelatinous organisms  /  offshore ecosystem health
Wen-Xiao ZANG, Wei-Cheng WANG, Xiao-Xia SUN, Song SUN. AN EXPLORATORY CASE STUDY ON ASSESSING THE HEALTH OF JIAOZHOU BAY ECOSYSTEM USING ZOOPLANKTON FUNCTIONAL GROUP INDICATORS[J]. Oceanologia et Limnologia Sinica, 2026 , 57 (3) : 755 -766 . DOI: 10.11693/hyhz20251200274
Year 2026 volume 57 Issue 3
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Article Info
doi: 10.11693/hyhz20251200274
  • Receive Date:2025-12-07
  • Online Date:2026-08-06
  • Published:2026-05-30
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History
  • Received:2025-12-07
  • Revised:2026-03-04
Affiliations
    1Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
    2State Key Laboratory of Mariculture Breeding, College of Marine Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    3Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao 266237, China
    4Jiaozhou Bay Marine Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
    5University of Chinese Academy of Sciences, Beijing 100049, China
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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
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