Journal
MARINE POLLUTION BULLETIN
Volume 161, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.marpolbul.2020.111805
Keywords
Macroalgal bloom; Ulva prolifera; Yellow Sea; Porphyra; Biophysical model
Funding
- National Key Research and Development Program of China [2018YFD0900705, 2018YFD0900906]
- National Natural Science Foundation of China [41606038, 41606040]
- Natural Science Foundation of Jiangsu Province [BK20180940]
- Integration and Application of Global Ocean Dynamic Environmental Forecasting System [2016YFC1401409]
- Central Public -interest Scientific Institution Basal Research, CAFS & Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs of the People's Republic of China [2019HYXKQ01]
- Central Public-interest Scientific Institution Basal Research Fund, YSFRI, CAFS [20603022018003]
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The green tides caused by Ulva prolifera have become a recurrent phenomenon in Yellow Sea, China. Investigating the factors governing the biomass of green tides is important for developing management strategies. In this study, an U. prolifera growth model was combined with a hydrodynamic model. This biophysical model can reasonably reproduce the spatiotemporal variation of the green tides in 2012. Among three zones (northern, central, and southern-zones) of Porphyra mariculture region, the northern and central zones were more important in controlling the bloom intensity, and the central zone was the key area in controlling the amount of biomass landed on beaches. Due to the limitation of temperature and nutrients, an earlier or postponed facility recycling might effectively reduce the magnitude of green tides in 2012. This study provides useful information for mitigation of green tides and management of Porphyra mariculture.
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