气候变化领域集成服务门户(CCPortal): A numerical study of the Ulva prolifera biomass during the green tides in China

CCPortal

DOI	10.1016/j.marpolbul.2020.111805
	A numerical study of the Ulva prolifera biomass during the green tides in China - toward a cleaner Porphyra mariculture
	Sun K.; Sun J.; Liu Q.; Lian Z.; Ren J.S.; Bai T.; Wang Y.; Wei Z.
发表日期	2020
ISSN	0025326X
卷号	161
英文摘要	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. © 2020 Elsevier Ltd
英文关键词	Biophysical model; Macroalgal bloom; Porphyra; Ulva prolifera; Yellow Sea
语种	英语
scopus关键词	Biomass; Marine biology; Biophysical model; Central zone; Green tides; Growth modeling; Hydrodynamic model; Management strategies; Spatio-temporal variation; Three zones; Tides; article; biomass; China; hydrodynamics; mariculture; nonhuman; nutrient; physical model; recycling; seashore; Ulva prolifera; Yellow Sea; Porphyra; Porphyra porphyra; Ulva prolifera
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/148403
作者单位	Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China; Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao, 266200, China; Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao, 266237, China; College of Environmental Science and Engineering, Yangzhou University, Yangzhou, 225100, China; National Institute of Water and Atmospheric Research, 10 Kyle Street, PO Box 8602, Christchurch, 8440, New Zealand; North China Sea Marine Forecasting Center of State Oceanic Administration, Qingdao, 266033, China
推荐引用方式 GB/T 7714	Sun K.,Sun J.,Liu Q.,et al. A numerical study of the Ulva prolifera biomass during the green tides in China - toward a cleaner Porphyra mariculture[J],2020,161.
APA	Sun K..,Sun J..,Liu Q..,Lian Z..,Ren J.S..,...&Wei Z..(2020).A numerical study of the Ulva prolifera biomass during the green tides in China - toward a cleaner Porphyra mariculture.Marine Pollution Bulletin,161.
MLA	Sun K.,et al."A numerical study of the Ulva prolifera biomass during the green tides in China - toward a cleaner Porphyra mariculture".Marine Pollution Bulletin 161(2020).