Long-Term Trend of Green and Golden Tides in the Eastern Yellow Sea

Kim, Keunyong; Shin, Jisun; Kim, Kwang Young; Ryu, Joo-Hyung

doi:10.2112/si90-040.1

Cited by 19 publications

(15 citation statements)

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“…The Lagrangian particle tracking model can fill missing parts of Sargassum patches in the satellite images captured on cloudy days using an accurate distribution of the pelagic Sargassum patches in satellite images captured on a clear and fair weather day. The size of massive floating Sargassum in May 2017 was the largest ever in the ECS and YS (Qi et al 2017, Kim et al 2019). However, Lagrangian particle tracking simulation has not been previously conducted for the largest brown macroalgal bloom of May 2017 in the ECS and YS.…”

Section: Satellite Remote Sensing Datamentioning

confidence: 98%

“…Pixels with NDVI values above 0 are recognized as floating macroalgae ). It was difficult to clearly distinguish the reflectance spectra of green and brown macroalgae in satellite images (Hu et al 2015, Kim et al 2019. We distinguished brown macroalgae (Sargassum sp.)…”

Section: Satellite Remote Sensing Datamentioning

confidence: 99%

“…After the start of satellite remote sensing over the ECS and Yellow Sea (YS), floating brown macroalgae rafts or aggregated patches in the ECS were first observed in satellite images from March to May 2012 and February to May 2013 (Kim et al 2019). Floating brown marcroalgae patches were observed by the satellite sensors in the eastern YS and along the southwest coast of Korea from March to May 2015.…”

Section: Satellite Remote Sensing Datamentioning

confidence: 99%

“…In Fig. 3, brown patches represent Sargassum horneri in the ECS and YS, and green patches represent Ulva prolifera (Kim et al 2019, Xing et al 2019. The background image is a true color composite on the same day.…”

Section: Lagrangian Particle Tracking Experimentsmentioning

confidence: 99%

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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

Kwon¹,

Choi²,

Kim³

et al. 2019

ALGAE

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Northeastward drifts of massive Sargassum patches were observed in the East China Sea (ECS) and Yellow Sea (YS) by the Geostationary Ocean Color Imager (GOCI) in May 2017. Coverage of the brown macroalgae patches was the largest ever recorded in the ECS and YS. Three-dimensional circulation modeling and Lagrangian particle tracking simulations were conducted to reproduce drifting trajectories of the macroalgae patches. The trajectories of the macroalgae patches were controlled by winds as well as surface currents. A windage (leeway) factor of 1% was chosen based on sensitivity simulations. Southerly winds in May 2017 contributed to farther northward intrusion of the brown macroalgae into the YS. Although satellite observation and numerical modeling have their own limitations and associated uncertainties, the two methods can be combined to find the best estimate of Sargassum patch trajectories. When satellites were unable to capture all patches because of clouds and sea fog in the ECS and YS, the Lagrangian particle tracking model helped to track and restore the missing patches in satellite images. This study suggests that satellite monitoring and numerical modeling are complementary to ensure accurate tracking of macroalgae patches in the ECS and YS.

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Section: Satellite Remote Sensing Datamentioning

confidence: 98%

Section: Satellite Remote Sensing Datamentioning

confidence: 99%

Section: Satellite Remote Sensing Datamentioning

confidence: 99%

Section: Lagrangian Particle Tracking Experimentsmentioning

confidence: 99%

See 2 more Smart Citations

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

Kwon¹,

Choi²,

Kim³

et al. 2019

ALGAE

Self Cite

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“…Since the early years of the current century, massive drifting mats of S. horneri have been frequently observed along the East China Sea coast. They have aggressively spread along the length of the southwestern coast of Korea (including Jeju Island) and the western coast of Japan [11,[49][50][51]. Floating S. horneri rafts originated from attached thalli in the subtidal zones of islands off Zhejiang Province, China, and were transported northeastwards with oceanic currents and wind [5,11,13,14].…”

Section: Contribution Of Mortality To the Formation Of Golden Tidesmentioning

confidence: 99%

Population Dynamics of the ‘Golden Tides’ Seaweed, Sargassum horneri, on the Southwestern Coast of Korea: The Extent and Formation of Golden Tides

Choi

Yun

et al. 2020

Sustainability

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Since 2015, troublesome masses of floating Sargassum horneri have been introduced via ocean currents and winds to the southwestern coastline of Korea, including Jeju Island. These massive mats have caused considerable damage to the aquaculture industry, tourism, and the marine ecosystem. Most previous studies of S. horneri have focused on cultivation, the development of gene markers, and photosynthetic activity, but few data on population dynamics are available. We investigated the population dynamics of native S. horneri off the southwestern coast of Korea with the aim of predicting the formation of golden tides. Populations at two sites had obligate annual life cycles. Thalli were recruited during the period September–November, grew during the period December–April, and senesced by July. This pattern reflected seasonal trends in water temperature. Specific growth rates and heights of the thalli at Munseom were significantly higher than those at Jindo. The greatest environmental difference between the two sites is probably the degree of exposure to wave action. Mortality density (thalli lost per unit area) in the Munseom population was highest during the period December–January (i.e., 2–3 months after recruitment) and in March. Most thalli in the Jindo population died off in July when water temperatures increased. The maximum average biomass of S. horneri thalli detaching from the substrata reached 1.6 kg fresh weight m–2 during January and March. Thus, large-scale drifting mats were formed by S. horneri detachment from the substrata. Despite the differences in space and environment between China and Korea, our findings will enable quantitative assessments of the overall floating Sargassum biomass in the East China and Yellow Seas.

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Variation in germling growth in the green tide–forming alga Ulva intestinalis (Chlorophyta) in response to gradients in salinity, temperature, light, and nutrients

2021

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Long-Term Trend of Green and Golden Tides in the Eastern Yellow Sea

Cited by 19 publications

References 0 publications

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

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

Population Dynamics of the ‘Golden Tides’ Seaweed, Sargassum horneri, on the Southwestern Coast of Korea: The Extent and Formation of Golden Tides

Variation in germling growth in the green tide–forming alga Ulva intestinalis (Chlorophyta) in response to gradients in salinity, temperature, light, and nutrients

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