In Search of Red <i>Noctiluca scintillans</i> Blooms in the East China Sea

Qi, Lin; Tsai, Sheng‐Fang; Chen, Yanlong; Le, Chengfeng; Hu, Chuanmin

doi:10.1029/2019gl082667

Cited by 40 publications

(20 citation statements)

References 29 publications

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“…At site Z, the dominant phytoplankton were dinoflagellates, including Dinophyceae and Noctilucales. Noctilucales, the common red-tide-forming dinoflagellates in coastal waters [ 33 ], is harmful to the shellfish mariculture. It not only competes with shellfish for food (especially diatoms), but also adheres to the shellfish gills and affects their filter-feeding and respiration [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Dynamics of phytoplankton community in scallop farming waters of the Bohai Sea and North Yellow Sea in China

Kong

Liu

et al. 2022

BMC Ecol Evo

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Background As the major suppliers of food for higher consumers, phytoplankton are closely related to the yield, nutritional ingredients and even toxin contents of mariculture animals, potentially influencing the human health when they are consumed. With the increase of shellfish culture density, phytoplankton in the coastal waters have been excessively consumed in recent years, and the nutrients they depend on are becoming more and more limited, which severely restrict the shellfish mariculture and threaten the coastal ecosystems. Results In the present study, nutrient concentrations, phytoplankton assemblages and scallop growth status were investigated in the main bay scallop farming waters of the Bohai Sea (Qinhuangdao site) and North Yellow Sea (Zhuanghe site) in 2018. Both phosphate and silicate limitations were observed at the two sites, with the major determinant of phytoplankton assemblages being silicate in Qinhuangdao and phosphate in Zhuanghe, respectively. The phytoplankton assemblages at the two sites displayed different community structures and succession patterns. The phytoplankton community was dominated by dinoflagellates and diatoms in Qinhuangdao, while dinoflagellates were the most abundant group in Zhuanghe, which accounted for 41.9% of the total phytoplankton abundance. The dominant genera of diatoms in Qinhuangdao were Skeletonema, Thalassiosira and Leptocylindrus, while those in Zhuanghe were Thalassiosira and Cyclotella. Greater biomass and more appropriate structure of phytoplankton contributed to higher growth rate and glycogen content of cultured bay scallops. Conclusions Our study characterized the relationship between nutrient concentration, phytoplankton community and scallop mariculture in the main bay scallop farming waters in northern China. The results suggest that, as nutrient limitation intensified, dinoflagellates are becoming the dominant phytoplankton species in the scallop farming waters of the Bohai Sea and the North Yellow Sea, which is harmful to the coastal mariculture.

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Section: Discussionmentioning

confidence: 99%

Dynamics of phytoplankton community in scallop farming waters of the Bohai Sea and North Yellow Sea in China

Kong

Liu

et al. 2022

BMC Ecol Evo

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“…The peak of phytoplankton concentrations were observed one or two days before N. scintillans red tides in the Bohai Sea (Dong et al, 2000;Yin et al, 2013). Qi et al (2019) speculated that a bloom of Prorocentrum donghaiense may provide sufficient food for an N. scintillans red tide in the East China Sea. There are scallop (Argopecten irradians and Chlamys farreri) culture areas on the outer periphery of the area of this red tide, and the aquaculture cycle is from about April to November with the harvest work beginning from October.…”

Section: Triggers and Formation Of N Scintillans Red Tidementioning

confidence: 99%

“…Like scallops, heterotrophic red tide species can exert both topdown and bottom-up influences on the phytoplankton community, through grazing algae for food and releasing nutrients into the water to support the growth of phytoplankton (Dong et al, 2000;Lips and Lips, 2017;Zhang et al, 2018;Qi et al, 2019). As the N. scintillans and Mesodinium red tides progressed and at the latter stage of the sampling, several successions in the dominant phytoplankton species occurred (Table 1).…”

Section: Phytoplankton Community Succession During and After The Two ...mentioning

confidence: 99%

“…Its color is due to the endosymbiotic green algae Pedinomonas noctiluca (Wang et al, 2016), which allows it to photosynthesis and survive when food is scarce (Hansen et al, 2004). Red N. scintillans is more widespread, existing in temperate to sub-tropical coastal waters between 10 and 30 °C (Do Rosario Gomes et al, 2014;Qi et al, 2019). The heterotrophic red N. scintillans exhibits a phagotrophic feeding habit (Sun and Guo, 2011), feeding primarily on bacteria, phytoplankton, microzooplankton and eggs of fishes or zooplankton (Enomoto, 1956;Prasad, 1958;Buskey, 1995;Kirchner et al, 1996;Hallegraeff et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Effects of physical-biochemical coupling processes on the Noctiluca scintillans and Mesodinium red tides in October 2019 in the Yantai nearshore, China

Zhang

Dong

Zhang

et al. 2020

Marine Pollution Bulletin

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“…Red tide outbreaks are a threat to fisheries, marine ecosystems, and human health [3][4][5][6]. The dominant phytoplankton which caused red tide in China include dinoflagellates (such as Noctilucent scintillans [7], Prorocentrum donghaiense (P. donghaiense) [8], Alexandrium catenella [9]), and diatom (such as Skeletonema costatum (S. coatatum) [10]). In recent years, red tides have been found to occur more frequently as a result of eutrophication [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Red Tide Detection Method for HY−1D Coastal Zone Imager Based on U−Net Convolutional Neural Network

Zhao

Liu

et al. 2021

Remote Sensing

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Existing red tide detection methods have mainly been developed for ocean color satellite data with low spatial resolution and high spectral resolution. Higher spatial resolution satellite images are required for red tides with fine scale and scattered distribution. However, red tide detection methods for ocean color satellite data cannot be directly applied to medium–high spatial resolution satellite data owing to the shortage of red tide responsive bands. Therefore, a new red tide detection method for medium–high spatial resolution satellite data is required. This study proposes the red tide detection U−Net (RDU−Net) model by considering the HY−1D Coastal Zone Imager (HY−1D CZI) as an example. RDU−Net employs the channel attention model to derive the inter−channel relationship of red tide information in order to reduce the influence of the marine environment on red tide detection. Moreover, the boundary and binary cross entropy (BBCE) loss function, which incorporates the boundary loss, is used to obtain clear and accurate red tide boundaries. In addition, a multi−feature dataset including the HY−1D CZI radiance and Normalized Difference Vegetation Index (NDVI) is employed to enhance the spectral difference between red tides and seawater and thus improve the accuracy of red tide detection. Experimental results show that RDU−Net can detect red tides accurately without a precedent threshold. Precision and Recall of 87.47% and 86.62%, respectively, are achieved, while the F1−score and Kappa are 0.87. Compared with the existing method, the F1−score is improved by 0.07–0.21. Furthermore, the proposed method can detect red tides accurately even under interference from clouds and fog, and it shows good performance in the case of red tide edges and scattered distribution areas. Moreover, it shows good applicability and can be successfully applied to other satellite data with high spatial resolution and large bandwidth, such as GF−1 Wide Field of View 2 (WFV2) images.

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In Search of Red Noctiluca scintillans Blooms in the East China Sea

Cited by 40 publications

References 29 publications

Dynamics of phytoplankton community in scallop farming waters of the Bohai Sea and North Yellow Sea in China

Dynamics of phytoplankton community in scallop farming waters of the Bohai Sea and North Yellow Sea in China

Effects of physical-biochemical coupling processes on the Noctiluca scintillans and Mesodinium red tides in October 2019 in the Yantai nearshore, China

Red Tide Detection Method for HY−1D Coastal Zone Imager Based on U−Net Convolutional Neural Network

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