Temporal characteristics of plankton indicators in coastal waters: High-frequency data from PlanktonScope

被引:15
作者
Bi, Hongsheng [1 ]
Song, Junting [2 ]
Zhao, Jian [1 ]
Liu, Hui [3 ]
Cheng, Xuemin [2 ]
Wang, Linlin [4 ]
Cai, Zhonghua [2 ]
Benfield, Mark C. [5 ]
Otto, Saskia [6 ]
Goberville, Eric [7 ]
Keister, Julie [8 ]
Yang, Yong [9 ]
Yu, Xinglong [9 ]
Cai, Jun [9 ]
Ying, Kezhen [10 ]
Conversi, Alessandra [11 ]
机构
[1] Univ Maryland, Ctr Environm Sci, Solomons, MD 20688 USA
[2] Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Guangdong, Peoples R China
[3] Texas A&M Univ, Galveston, TX 77553 USA
[4] Shenzhen Univ, Water Sci & Environm Engn Res Ctr, Shenzhen 518060, Guangdong, Peoples R China
[5] Louisiana State Univ, Baton Rouge, LA 70803 USA
[6] Hamburg Univ, Inst Marine Ecosyst & Fisheries Sci IMF, Ctr Earth Syst Res & Sustainabil CEN, Hamburg, Germany
[7] Univ Antilles, Sorbonne Univ, Univ Caen Normandie, CNRS,UMR 8067,BOREA,Museum Natl Hist Nat, Paris, France
[8] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA
[9] Yangjiang Nucl Power C LTD, Yangjiang, Guangdong, Peoples R China
[10] Oasis Photobio Tech LLC, Shenzhen, Guangdong, Peoples R China
[11] CNR, Inst Marine Sci, La Spezia, Italy
关键词
Plankton indicators; PlanktonScope; Image processing; Spatial scale; Temporal scale; Time series; Phytoplankton; Zooplankton; South China Sea; Tide; Diurnal cycle; Monsoon; Typhoon; PEARL RIVER PLUME; SPATIAL-DISTRIBUTION; ZOOPLANKTON COMMUNITY; PELAGIC CNIDARIANS; JELLYFISH BLOOMS; IMAGING-SYSTEM; CHINA SEA; OCEAN; VARIABILITY; PREDATION;
D O I
10.1016/j.seares.2022.102283
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
Plankton are excellent indicators of ecosystem status and fisheries because of their pivotal role in marine food webs and their core values in the integrated ecosystem assessment (IEA). Monitoring plankton is essential to understand their dynamics and underlying processes. Recent advances in imaging technologies have enabled in situ, high-frequency, real-time observations of plankton in coastal waters. While high-frequency plankton time series have provided unprecedented fundamental information about physical and biological processes, under-standing and identifying the underlying mechanisms that influence plankton dynamic remains a major challenge. We use high-frequency plankton data from PlanktonScope as an example to examine the impacts of physical and biological processes on plankton dynamics at different temporal scales. Frequency patterns were identified for both environmental factors and different plankton groups that matched in time. Using logistic regression models on the selected daily peaks for different plankton groups, we found that diurnal cycle, monsoon season, and major episodic events, such as typhoons, had major impacts on the dynamics of plankton, as proxied by our indicators. We further synthesized, across multiple spatiotemporal scales in the study area, the impacts of various processes on plankton with different mobility. Our study demonstrates that the suite of plankton indicators simultaneously generated from PlanktonScope provides a robust holistic view of pelagic ecosystem status over a broad range of spatiotemporal scales. In situ imaging systems like PlanktonScope are promising tools for near real-time plankton monitoring and a deep understanding of plankton dynamics.
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页数:16
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