Tracing the trajectory of pelagic &lt;italic&gt;Sargassum&lt;/italic&gt; using satellite monitoring and Lagrangian transport simulations in the East China Sea and Yellow Sea

Kwon, Kyungman; Choi, Byoung-Ju; Kim, Kwang Young; Kim, Keunyong

doi:10.4490/algae.2019.34.12.11

Cited by 17 publications

(18 citation statements)

References 37 publications

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“…After being cleaned, the embryos were cultured in triplicate Petri dishes with 20 mL of PESI culture medium. Culture conditions for germling growth were 40 µmol m -2 s -1 and 14 : 10 h (L : D) for temperature experiment (5, 10, 15, 20, and 25°C), 20°C and 14 : 10 h (L : D) for irradiance experiment (5,10,20,40, and 80 µmol photons m -2 s -1 ), 20°C and 40 µmol pho- (Kim et al 2019b, Kwon et al 2019). Therefore, considerable information has been accumulated on their growth, maturation period and cultivation techniques from ecological and industrial viewpoints.…”

Section: Germling Growthmentioning

confidence: 99%

Artificial seed production and cultivation of <italic>Sargassum macrocarpum</italic> (Fucales, Phaeophyta)

Ko¹,

Kim²,

Hong³

et al. 2020

ALGAE

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Tribute to This paper is dedicated to the memory of Professor Chul Hyun Sohn (1943~2019) Sargassum macrocarpum is a rich source of anti-inflammatory compounds. Recently, one of the compounds, tuberatolide B, has been reported as a functional anti-inflammatory additive for foods and nutraceuticals. The artificial seeding, growth and maturation of S. macrocarpum were investigated from May 2018 to September 2019. Indoor culture experiments for induction of egg release were conducted at temperatures of 17, 20, 23, and 26°C and irradiances of 0, 10, 20, 40, and 80 µmol photons m-2 s-1 under 14 : 10 h (L : D) photoperiod. Within a given treatment combination, higher temperatures and irradiance levels favoured the maturation of receptacles in S. macrocarpum. Using artificial temperature and irradiance control, thalli matured one month earlier than thalli in nature. Under natural condition, receptacle formation began in April, and the eggs were released in June and July. The release of eggs from the receptacles was promoted at 17-20°C and 40-80 µmol photons m-2 s-1 , and the fastest growth of germlings occuring at 15-17°C and 40 µmol photons m-2 s-1. For mature thalli, 300 g wet-weight was sufficient to seed 100 m of seed string. Thalli grew to 10.5 ± 2.6 cm in length at a density of 6.7 ± 3.3 individuals m-1 after 1 year of cultivation, from germination. This study demonstrates that it is possible to cultivate S. macrocarpum for the production of anti-inflammatory products.

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Section: Germling Growthmentioning

confidence: 99%

Artificial seed production and cultivation of <italic>Sargassum macrocarpum</italic> (Fucales, Phaeophyta)

Ko¹,

Kim²,

Hong³

et al. 2020

ALGAE

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“…Geostationary satellite observations could be relevant to monitor Sargassum thanks to their high temporal revisit rate, typically every 15 to 30 min. The analysis of data acquired by the Korean geostationary sensor GOCI together with Lagrangian particle modeling demonstrated the feasibility of tracing the trajectories of pelagic Sargassum aggregation using this type of satellite orbit [13]. GOCI radiometric sensitivity is specifically dedicated to measuring low level signals such as those encountered in oceanic waters.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, the GOCI orbit is not designed to observe the Atlantic Ocean. Therefore, there is currently a lack of geostationary sensors designed for ocean color applications to observe areas in the Atlantic Ocean where Sargassum strongly proliferate [13].…”

Section: Introductionmentioning

confidence: 99%

Synergy between Low Earth Orbit (LEO)—MODIS and Geostationary Earth Orbit (GEO)—GOES Sensors for Sargassum Monitoring in the Atlantic Ocean

et al. 2021

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Since 2011, massive stranding of the brown algae Sargassum has regularly affected the coastal waters of the West Caribbean, Brazil, and West Africa, leading to heavy environmental and socio-economic impacts. Ocean color remote sensing observations as performed by sun-synchronous satellite sensors such as MODIS (NASA), MERIS (ESA), or OLCI (ESA/Copernicus) are used to provide quantitative assessments of Sargassum coverage through the calculation of indices as the Alternative Floating Algae Index (AFAI). Sun-synchronous sensors usually provide at best one daytime observation per day of a given oceanic area. However, such a daily temporal revisit rate is not fully satisfactory to monitor the dynamics of Sargassum aggregation due to their potentially significant drift over the course of the day as a result of oceanic currents and sea surface wind stress. In addition, the sun glint and the presence of clouds limit the use of low earth orbit observations, especially in tropical zones. The high frequency sampling provided by geostationary sensors can be a relevant alternative approach in synergy with ocean color sun-synchronous sensors to increase the temporal resolution of the observations, thus allowing efficient monitoring of Sargassum dynamics. In this study, data acquired by a geostationary satellite sensor located at 36,000 km from Earth, namely GOES-16 (NASA/NOAA), which was primarily designed for meteorology applications, are analyzed to investigate the Sargassum dynamics. The results demonstrate that a GOES-16 hourly composite product is appropriate to identify Sargassum aggregations using an index commonly used for vegetation monitoring, namely NDVI (Normalized Difference Vegetation Index). It is also shown that GOES hourly observations can significantly improve the simulated drift obtained with a transport circulation model, which uses geostrophic current, wind, and waves. This study thus highlights the significant relevance of the effective synergy between sun-synchronous and geostationary satellite sensors for characterizing the Sargassum dynamics. Such a synergy could be summarized as follows: (i) A sun-synchronous sensor enables accurate Sargassum detection and quantitative estimates (e.g., fractional coverage) through AFAI Level-2 products while (ii) a geostationary sensor enables the determination of the displacement features of Sargassum aggregations (velocity, direction).

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“…In recent years, the use of Lagrangian particle tracing (or other numerical models) for HAB monitoring has gained more interest (Olascoaga et al, 2008;Wynne et al, 2011;Son et al, 2015;Kwon et al, 2019;Li et al, 2020;Fernandes-Salvador et al, 2021). Lagrangian particle tracing models are useful for determining sources, trajectories, and destinations of drifting water parcels, with high temporal and spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

Early Warning of Harmful Algal Bloom Risk Using Satellite Ocean Color and Lagrangian Particle Trajectories

et al. 2021

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Combining Lagrangian trajectories and satellite observations provides a novel basis for monitoring changes in water properties with high temporal and spatial resolution. In this study, a prediction scheme was developed for synthesizing satellite observations and Lagrangian model data for better interpretation of harmful algal bloom (HAB) risk. The algorithm can not only predict variations in chlorophyll-a concentration but also changes in spectral properties of the water, which are important for discrimination of different algal species from satellite ocean color. The prediction scheme was applied to regions along the coast of England to verify its applicability. It was shown that the Lagrangian methodology can significantly improve the coverage of satellite products, and the unique animations are effective for interpretation of the development of HABs. A comparison between chlorophyll-a predictions and satellite observations further demonstrated the effectiveness of this approach: r2 = 0.81 and a low mean absolute percentage error of 36.9%. Although uncertainties from modeling and the methodology affect the accuracy of predictions, this approach offers a powerful tool for monitoring the marine ecosystem and for supporting the aquaculture industry with improved early warning of potential HABs.

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Tracing the trajectory of pelagic <italic>Sargassum</italic> using satellite monitoring and Lagrangian transport simulations in the East China Sea and Yellow Sea

Cited by 17 publications

References 37 publications

Artificial seed production and cultivation of <italic>Sargassum macrocarpum</italic> (Fucales, Phaeophyta)

Artificial seed production and cultivation of <italic>Sargassum macrocarpum</italic> (Fucales, Phaeophyta)

Synergy between Low Earth Orbit (LEO)—MODIS and Geostationary Earth Orbit (GEO)—GOES Sensors for Sargassum Monitoring in the Atlantic Ocean

Early Warning of Harmful Algal Bloom Risk Using Satellite Ocean Color and Lagrangian Particle Trajectories

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