Journal of Tropical Oceanography ›› 2025, Vol. 44 ›› Issue (6): 91-107.doi: 10.11978/2025051CSTR: 32234.14.2025051

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Integrated analysis of phytoplankton community structure in mussel aquaculture areas using net sampling with microscopy and LISST Holo2

YANG Tianwei1(), LIN Jun1,2,3,4(), JIAO Junpeng1, WU Yue1   

  1. 1 College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China
    2 Marine Ranching Engineering Technology Research Center, Shanghai Ocean University, Shanghai 201306, China
    3 National Engineering Research Center for Special Equipment and Power Systems of Naval Architecture and Ocean Engineering, Shanghai 200030, China
    4 Key Laboratory of Marine Ecological Monitoring and Restoration Technology, Ministry of Natural Resources, Shanghai Ocean University, Shanghai 201306, China
  • Received:2025-04-04 Revised:2025-05-23 Online:2025-11-10 Published:2025-12-03
  • Contact: LIN Jun. email:
  • Supported by:
    National Natural Science Foundation of China(42376207); National Key Research and Development Program of China(2023YFD2401902)

Abstract:

This study integrated net sampling with microscopic examination and an underwater digital holographic particle imaging system (LISST Holo2) to analyze the diurnal dynamics and environmental drivers of phytoplankton communities in suspended mussel raft aquaculture areas near Gouqi Island, Zhejiang Province. Field data collected in August 2023 identified 75 phytoplankton species across 5 phyla and 38 genera, with Noctiluca scintillans and Rhizosolenia styliformis as dominant species, coinciding with a Noctiluca scintillans red tide outbreak. The aquaculture layer exhibited fewer phytoplankton species and lower abundance compared to the entire water column, but demonstrated higher co-occurrence network complexity, greater community stability, and stronger inter-species interactions. Tidal cycles significantly influenced phytoplankton distribution in the entire water column [GAM (generalized additive models) explained 57.4% of variation], while temporal factors dominated abundance fluctuations in the aquaculture layer (P=0.016). The LISST Holo2 detected 34 genera from 3 phyla of phytoplankton, accounting for 89.4% of the taxa identified by net sampling and microscopy. For large-sized phytoplankton (e.g., Noctiluca scintillans), LISST Holo2 showed high consistency with traditional net sampling and microscopy results, with a dominance curve correlation coefficient of R²>0.8. Compared to conventional methods, LISST Holo2 addressed challenges such as laborious sample preservation, delayed data acquisition, and particle size measurement difficulties. This study validates its reliability for large-sized algal monitoring and underscores the roles of mussel filtration pressure and raft-induced hydrodynamic effects in reshaping phytoplankton communities, providing critical insights for optimizing aquaculture practices and advancing marine ecosystem monitoring technologies.

Key words: LISST Holo2, suspended mussel farms, phytoplankton community, environment factors, phytoplankton co-occurrence network

CLC Number: 

  • Q948.8