A numerical model study on multi-species harmful algal blooms coupled with background ecological fields

WANG Qing; ZHU Liangsheng; WANG Dongxiao

doi:10.1007/s13131-014-0459-9

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Article Navigation > Acta Oceanologica Sinica > 2014 > 33(8): 95-105

WANG Qing, ZHU Liangsheng, WANG Dongxiao. A numerical model study on multi-species harmful algal blooms coupled with background ecological fields[J]. Acta Oceanologica Sinica, 2014, 33(8): 95-105. doi: 10.1007/s13131-014-0459-9

Citation:

WANG Qing, ZHU Liangsheng, WANG Dongxiao. A numerical model study on multi-species harmful algal blooms coupled with background ecological fields[J]. Acta Oceanologica Sinica, 2014, 33(8): 95-105. doi: 10.1007/s13131-014-0459-9

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A numerical model study on multi-species harmful algal blooms coupled with background ecological fields

doi: 10.1007/s13131-014-0459-9

1.
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510640, China;Naval Architecture and Ocean Engineering R & D Center of Guangdong Province, South China University of Technology, Guangzhou 510640, China;Graduate University of Chinese Academy of Sciences, Beijing 100049, China
2.
Naval Architecture and Ocean Engineering R & D Center of Guangdong Province, South China University of Technology, Guangzhou 510640, China
3.
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510640, China

Received Date: 2012-11-25
Rev Recd Date: 2013-02-14

Abstract

Abstract

Based on systematized physical, chemical, and biological modules, a multi-species harmful algal bloom (HAB) model coupled with background ecological fields was established. This model schematically embodied that HAB causative algal species and the background ecological system, quantified as total biomass, were significantly different in terms of the chemical and biological processes during a HAB while the interaction between the two was present. The model also included a competition and interaction mechanism between the HAB algal species or populations. The Droop equation was optimized by considering temperature, salinity, and suspended material impact factors in the parameterization of algal growth rate with the nutrient threshold. Two HAB processes in the springs of 2004 and 2005 were simulated using this model. Both simulation results showed consistent trends with corresponding HAB processes observed in the East China Sea, which indicated the rationality of the model. This study made certain progress in modeling HABs, which has great application potential for HAB diagnosis, prediction, and prevention.
- background ecological fields,
- multi-species,
- harmful algal bloom,
- numerical model

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References

Allen J I, Smyth T J, Siddorn J R, et al. 2008. How well can we forecast high biomass algal bloom events in a eutrophic coastal sea. Harmful Algae, 8(1):70-76

Anderson M D. 2009. Approaches to monitoring, control and management of harmful algal blooms. Ocean & Coastal Management, 52(7):342-347

Boyer T, Levitus S, Garcia H, et al. 2005. Objective analyses of annual, seasonal, and monthly temperature and salinity for the World Ocean on a 0.25° grid. International Journal of Climatology Early View, 25(7):931-945

Chen Xiuhua. 2006. Numerical experiments of the development of red tides in the region where red tides frequently occurred in the East China Sea [dissertation]. Guangzhou: South China Sea Institute of Oceanology Chen Qiuwen, Arthur E M. 2006. Modelling algal blooms in the Dutch coastal waters by integrated numerical and fuzzy cellular automata approaches. Ecological Modelling, 199:73-81

Chen Hanlin, Lv Songhui, Zhang Chuansong, et al. 2006. A Survey on the red tide of Prorocentrum donghaiense in East China Sea 2004. Ecologic Science (in Chinese), 25(3):226-230

Chen Bingzhang, Wang Zongling, Zhu Mingyuan, et al. 2005. Effects of temperature and salinity on growth of Prorocentrum dentatum and comparisons between growths of Prorocentrum dentatum and Skeletonema costatum. Advances in Marine Science (in Chinese), 23(1):60-64

Conkright M E, Locarnini R A, Garcia H E, et al. 2002. World Ocean Atlas 2001: Objective Analyses, Data Statistics, and Figures, CD-ROM Documentation. Silver Spring, MD: National Oceanographic Data Center,1-17

Dippner J W. 1998. Competition between different groups of phytoplankton for nutrients in the southern North Sea. Journal of Marine Systems, 14(1):181-198

Droop M R, Mickelson M J, Scott J M, et al. 1982. Light and nutrient status of algal cells. Journal of the Marine Biological Association of the United Kingdom, 62(2):403-434

Ennet P, Kuosa H, Tamsalu R. 2000. The influence of upwelling and entrainment on the algal bloom in the Baltic Sea. Journal of Marine Systems, 25:359-367

Eppley R W. 1972. Temperature and phytoplankton growth in the sea. United States Fisheries and Wildlife Service Bulletin, 70(4): 1063- 1085 Freund A J, Mieruch S, Scholze B, et al. 2006. Bloom dynamics in a seasonally forced phytoplankton-zooplankton model: Trigger mechanisms and timing effects. Ecological Complexity, 3(2): 129-139 Gan Jianping, Mysak L A, Straub D N. 1998. Simulation of the South Atlantic Ocean circulation and its seasonal variability. Journal of Geophysical Research, 103(C5):10241-10251

Garcia H E, Locarnini R A, Boyer T P, et al. 2006a. World Ocean Atlas 2005, Vol. 4: Nutrients (phosphate, nitrate, silicate). In: Levitus S, ed. NOAA Atlas NESDIS 64, U.S. Washington, DC: Government Printing Office,1-396

Garcia H E, Locarnini R A, Boyer T P, et al. 2006b. World Ocean Atlas 2005, Vol. 3: Dissolved oxygen, apparent oxygen utilization, and oxygen saturation. In: Levitus S, ed. NOAA Atlas NESDIS 63, U.S. Washington, DC: Government Printing Office, 342 GEOHAB. 2001. Global Ecology and Oceanography of Harmful Algal Blooms Science Plan. Baltimore and Paris: SOR and IOC, 86 Heisler J, Glibert P M, Burkholder J M, et al. 2008. Eutrophication and harmful algal blooms: A scientific consensus. Harmful Algae, 8(1):3-13

Huppert A, Blasius B, Olinky R, et al. 2005. A model for seasonal phytoplankton blooms. Journal of Theoretical Biology, 236(3):276-290

Huppert A, Olinky R, Stone L. 2004. Bottom-up excitable models of phytoplankton blooms. Bulletin of Mathematical Biology, 66(4): 865-878 Kishi M, Ikeda S. 1986. Population dynamics of ‘red tide' organisms in eutrophicated coastal waters-Numerical experiment of phytoplankton bloom in the East Seto Inland Sea, Japan. Ecological Modelling, 31(1):145-174

Li Ying, Lv Songhui, Xu Ning, et al. 2005. The utilization of Prorocentrum donghaiense to four different types of phosphorus. Ecologic Science (in Chinese), 24(4):314-317

Li Yanbin, Wang Xiulin, Han Xiurong, et al. 2008. An ecosystem model of the phytoplankton competition in the East China Sea, as based on field experiments. Hydrobiologia, 600(1):283-296

Li Jingtao, Zhao Weihong, Yang Dengfeng, et al. 2005. Effect of turbid water in Changjiang (Yangtze) estuary on the growth of Skeletonema costatum. Marine Sciences (in Chinese), 29(1):34-37

Li Ruixiang, Zhu Mingyuan, Wang Zongling, et al. 2003. Mesocosm experiment on competition between two HAB species in East China Sea. Chinese Journal of Applied Ecology (in Chinese), 14(7): 1049-1054 Liu Dongyan, Sun Jun, Chen Zongtao, et al. 2002. Effect of N/P ratio on the growth of a red tide diatom Skeletonema costatum. Transaction of Oceanology and Limnology (in Chinese), 2:39-44

Lu Douding, Qi Yuzao, Goebel J, et al. 2003. Redescription of Prorocentrum donghaiense Lu and comparison with relevant Prorocentrum species. Chinese Journal of Applied Ecology, 14(7): 1060-1064 Luyten P J, Jones J E, Proctor R, et al. 1999. COHERENS-A Coupled Hydrodynamical-Ecological Model for Regional and Shelf Seas: User Documentation. MUMM Report, Management Unit of the Mathematical Models of the North Sea,1-914

Lv Songhui, Ou Meishan. 2006. Effects of different nitrogen sources and N/P ratios on the growth of a marine dinoflagellate Prorocentrum donghaiense. Marine Environmental Science (in Chinese), 25(2):33-36

Mellor G L, Yamada T. 1982. Development of a turbulence closure model for geophysical fluid problems. Reviews of Geophysics and Space Physics, 20(4):851-875

Michaelis L, Menten M L. 1913. Die kinetik der invertinwirkung. Biochem Z, 49:333-369

Ou Meishan, Lv Songhui. 2006. Effects of different inorganic nitrogen sources on the growth of Prorocentrum donghaiense. Ecologic Science (in Chinese), 25(1):28-31

Paulson C A, Simpson J J. 1977. Irradiance measurements in the upper ocean. Journal of Physical Oceanography, 7(6):952-956

Roe P L. 1985. Some contributions to the modelling of discontinuous flows. Lectures in Applied Mathematics, 22:163-193

Salacinska K, Serafy G Y, Los F J, et al. 2010. Sensitivity analysis of the two dimensional application of the Generic Ecological Model (GEM) to algal bloom prediction in the North Sea. Ecological Modelling, 221(2):178-190

Sellner K G, Doucette G J, Kirkpatrick G J. 2003. Harmful algal blooms: causes, impacts and detection. Journal of Industrial Microbiology & Biotechnology, 30(7):383-406

Smagorinsky J. 1963. General circulation experiments with the primitive equations: I. The basic experiment. Monthly Weather Review, 91(3):99-165

Tang Qisheng, Su Jilan, Sun Song, et al. 2005. A study of marine ecosystem dynamics in the coastal ocean of China. Advance in Earth Sciences (in Chinese), 20(12):1288-1299

Trancoso A R, Saraiva S, Fernandes L, et al. 2005. Modelling macroalgae using a 3D hydrodynamic-ecological model in a shallow, temperate estuary. Ecological Modelling, 187(2):232-246

Villanoy L C, Azanza V R, Altemerano A, et al. 2006. Attempts to model the bloom dynamics of Pyrodinium, a tropical toxic dinoflagellate. Harmful Algae, 5:156-183

Wan Zhenwen, Yuan Yeli. 1999. Developing a continuous medium dynamics model for ocean plankton ecosystem. Oceanologia et Lmnologia Sinica (in Chinese), 30(6):663-670

Wan Zhenwen, Yuan Yeli. 2000. Study on turbulence closure of dynamics model for marine plankton ecosystem. Journal of Hydrodynamics (in Chinese), 15(2):229-239

Wang Hongli, Feng Jianfeng, Shen Fei. 2002. Nonlinear dynamics research of the algal model in Bohai Sea. Ocean Technology (in Chinese), 21(3):8-12

Wang Zonglin, Li Ruixiang, Zhu Mingyuan, et al. 2006. Study on population growth processes and interspecific competition of Prorocentrum donghaiense and Skeletonema costatum in semi-continuous dilution experiments. Advances in Marine Science (in Chinese), 24(4):495-503

Wang Jinhua, Tang Hongjie, Wang Xiulin, et al. 2008. Effects of nitrate and phosphate on growth and nitrate reductase activity of Prorocentrum donghaiense. Chinese Journal of Applied & Environmental Biology (in Chinese), 14(5):620-623

Wang Baodong, Zhan Run, Zang Jiaye. 2002. Distributions and transportation of nutrients in Changjiang River Estuary and its adjacent sea areas. Acta Oceanologica Sinica (in Chinese), 24(1): 53-58 Wang Qing, Zhu Liangsheng, Hu Jinpeng, 2010. A HAB mathematical model of competition between two algae species in the Yangtze River Estuary and its adjacent waters. Proceedings of the Special Workshop on Geoscience and Remote Sensing in the 2010 International Conference on Multimedia Technology, 3:1276-1279

Xie Wenling. 2006. Community structure and dynamics of planktonic diatoms in typical areas of East China Sea [dissertation]. Xiamen: Xiamen University Yanagi T, Yamamoto T, Koizumi Y, et al. 1995. A numerical simulation of red tide formation. Journal of Marine Systems, 6(3):269-285

Yuan Dongliang, Zhu Jianrong, Li Chunyan, et al. 2008. Cross-shelf circulation in the Yellow and East China Seas indicated by MODIS satellite observations. Journal of Marine Systems, 70(1):134-149

Zhang Chuansong, Wang Jiangtao, Zhu Dedi, et al. 2008. The preliminary analysis of nutrients in harmful algal blooms in the East China Sea in the spring and summer of 2005. Acta Oceanologica Sinica (in Chinese), 30(2):153-159

Zhao Yanfang, Yu Zhiming, Song Xiuxian, et al. 2009. Effects of different phosphorus substrates on the growth and phosphatase activity of Skeletonema costatum and Prorocentrum donghaiense. Environmental Science (in Chinese), 30(3):693-699

Zhou Mingjiang, Zhu Mingyuan. 2006. Progress of the Project "Ecology and Oceanography of Harmful Algal Blooms in China". Advances in Earth Science (in Chinese), 21(7):673-679

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