An ecosystem model of the phytoplankton competition in the East China Sea, as based on field experiments

Hydrobiologia

Volumn 600, Issue 1, 2008, Pages 283-296

  Li, Yanbin ^a,b   Wang, Xiulin ^a,b   Han, Xiurong ^a,b   Li, Keqiang ^a,b   Zhao, Xixi ^a,b   Shi, Xiaoyong ^a,b  

^a Ocean University of China   (China)

^b OCEAN UNIVERSITY OF CHINA   (China)

Author keywords

Competition; Ecosystem model; Irradiance; Nutrient; Phytoplankton

Indexed keywords

DYNAMIC MODELS; ECOSYSTEMS; GROWTH KINETICS; NUTRIENTS; PARAMETER ESTIMATION; SENSITIVITY ANALYSIS; TEMPERATURE MEASUREMENT;

ECOSYSTEM MODELS; IRRADIANCE; ZOOPLANKTON;

PHYTOPLANKTON;

ALGAL BLOOM; COMMUNITY COMPOSITION; COMPETITION (ECOLOGY); DIATOM; DINOFLAGELLATE; ECOSYSTEM MODELING; ENVIRONMENTAL FACTOR; EXPERIMENTAL STUDY; PELAGIC ECOSYSTEM; PHOTOSYNTHESIS; PHYTOPLANKTON; SENSITIVITY ANALYSIS;

EAST CHINA SEA; PACIFIC OCEAN; SOUTH CHINA SEA;

ALGAE; BACILLARIOPHYTA; DINOPHYCEAE;

EID: 40549143099     PISSN: 00188158     EISSN: 15735117     Source Type: Journal    
DOI: 10.1007/s10750-007-9241-8     Document Type: Article

References (48)

1. Agawin, N. S. R., C. M. Duarte & S. Agusti, 2000. Nutrient and temperature control of the contribution of picoplankton to phytoplankton biomass and production. Limnology and Oceanography 45: 591-600.
2. Andersson, A., P. Haecky & A. Hagstrom, 1994. Effect of temperature and light on the growth of micro- nano- and pico-plankton: impact on algal succession. Marine Biology 120: 511-520.
3. Arhonditsis, G. B. & M. T. Brett, 2005. Eutrophication model for Lake Washington (USA) Part I. Model description and sensitivity analysis. Ecological modelling 187: 140-178.
4. Aubry, F. B., A. Berton, M. Bastianini, G. Socal & F. Acri, 2004. Phytoplankton succession in a coastal area of the NW Adriatic, over a 10-year sampling period (1990-1999). Continental Shelf Research 24: 97-115.
5. Carter, C. M., A. H. Ross, D. R. Schiel, C. Howard-Williams & B. Hayden, 2005. In situ microcosm experiments on the influence of nitrate and light on phytoplankton community composition. Journal of Experimental Marine Biology and Ecology 326: 1-13.
6. Chai, F., R. C. Dugdale, T. H. Peng, F. P. Wilkerson & R. T. Barber, 2002. One-dimensional ecosystem model of the equatorial Pacific upwelling system, Part I: model development and silicon and nitrogen cycles. Deep Sea Research II 49: 2713-2745.
7. Cugier, P., A. Ménesguen & J. F. Guillaud, 2005. Three-dimensional (3D) ecological modelling of the Bay of Seine (English Channel, France). Journal of Sea Research 54: 104-124.
8. Cui, M. C., R. Wang, D. X. Hu & Y. C. Yuan, 1997. Simple ecosystem model of the central part of the East China Sea in spring. China Journal of Oceanology and Limnology 15: 80-87.
9. Dippner, J. W., 1998. Competition between different groups of phytoplankton for nutrients in the southern North Sea. Journal of Marine Systems 14: 181-198.
10. Egge, J. K. & D. L. Aksnes, 1992. Silicate as regulating nutrient in phytoplankton competition. Marine Ecology Progress Series 83: 281-289.
11. Egge, J. K., 1998. Are diatoms poor competitors at low phosphate concentrations? Journal of Marine Systems 16: 191-198.
12. Fasham, M. J. R., H. W. Duklow & S. M. Mckelvie, 1990. A nitrogen-based model of plankton dynamics in the oceanic mixed layer. Journal of Marine Research 48: 591-639.
13. Granéli, E. & N. Johansson, 2003. Increase in the production of allelopathic substances by Prymnesium parvum cells grown under N- or P-deficient conditions. Harmful Algae 2: 135-145.
14. Grasshoff, K. K. K. & M. Ehrhardt, 1999. Methods of sea water analysis, Third, Completely Revised and Extenden Edition, WILEY-VCH Verlag GmbH, D-69469 Weinheim, pp. 203-223, ISBN: 3-527-29589-5.
15. Håkanson, L., 2000. The role of characteristic coefficients of variation in uncertainty and sensitivity analyses, with examples related to the structuring of lake eutrophication models. Ecological Modeling 131: 1-20.
16. Hegarty, S. G. & T. A. Villareal, 1998. Effects of light level and N:P supply ratio on the competition between Phaeocystis cf. pouchetii (Hariot) Lagerheim (Prymnesiophyceae) and five diatom species. Journal of Experimental Marine Biology and Ecology 226: 241-258.
17. Hoch, T., 1998. Modelling pelagic food web and primary production in the English Channel. Oceanologica Acta 21: 871-885.
18. Hofmann, E. E. & C. M. Lascara, 1998. Overview of interdisciplinary modeling for marine ecosystems. In Robinson, A. R. & K. H. Brink (eds) The Sea, The Global Coastal Ocean: Processes and Method. Wiley, New York: 507-540.
19. Hulot, F. D. & J. Huisman, 2004. Allelopathic interactions between phytoplankton species: the roles of heterotrophic bacteria and mixing intensity. Limnology Oceanography 49: 1424-1434.
20. Humborg, C., V. Ittekkot, A. Cociasu & B. V. Bodungen, 1997. Effect of Danube River dam on Black Sea biogeochemistry and ecosystem structure. Nature 386: 385-388.
21. Kirk, J. T. O., 1983. Light and photosynthesis in the aquatic ecosystems. Cambridge University Press. New York.
22. Lancelot, C., E. Hannon, S. Becquevort, C. Veth & H. J. W. De Baar, 2000. Modeling phytoplankton blooms and carbon export production in the Southern Ocean: dominant controls by light and iron in the Atlantic sector in Austral spring 1992. Deep-Sea Research I 47: 1621-1662.
23. Lu, D. D., J. Goebel, Y. Z. Qi, J. Z. Zou, X. T. Han, Y. H. Gao & Y. G. Li, 2005. Morphological and genetic study of Prorocentrum donghaiense Lu from the East China Sea, and comparison with some related Prorocentrum species. Harmful Algae 4: 493-505.
24. Merico, A., T. Tyrrell, E. J. Lessard, T. Oguz, P. J. Stabeno, S. I. Zeeman & T. E. Whitledge, 2004. Modelling phytoplankton succession on the Bering Sea shelf: role of climate influences and trophic interactions in generating Emiliania huxleyi blooms 1997-2000. Deep Sea Research I 51: 1803-1826.
25. Mongin, M., D. M. Nelson, P. Pondaven, M. A. Brzezinski & P. Tréguer, 2003. Simulation of upper-ocean biogeochemistry with a flexible-composition phytoplankton model: C, N and Si cycling in the western Sargasso Sea. Deep Sea Research I 50: 1445-1480.
26. Patel, D., K. Guganesharajah & B. Thake, 2004. Modelling diatom growth in turbulent waters. Water Research 38: 2713-2725.
27. Pujo, P. M. & P. Raimbault, 1994. Improvement of the wet-oxidation procedure for simultaneous determination of particulate organic nitrogen and phosphorus collected on filers. Marine Ecology Progress Series 105: 203-207.
28. Qiao, F. L., Y. L. Yuan, M. Y. Zhu, W. Zhao, R. B. Ji, Z. D. Pan, S. Chen & Z. W. Wan, 2000. Study on HAB dynamical model and HAB limitation factors for the sea area adjacent to Changjiang River Estuary. Oceanologia et Limnologia Sinica 31: 93-100.
29. Rengefors, K. & C. Legrand, 2001. Toxicity in Peridinium aciculiferum-an adaptive strategy to outcompete other winter phytoplankton? Limnology and Oceanography 46: 1990-1997.
30. Riegman, R., M. De Boer & L. De Senerport Domis, 1996. Growth of harmful marine algae in multispecies cultures. Journal of plankton research 18: 1851-1866.
31. Riley, G. A., 1975. Transparency chlorophyll relations. Limnology and Oceanography 20: 150-152.
32. Roelke, D. L., P. M. Eldridge & L. A. Cifuentes, 1999. A model of phytoplankton competition for limiting and nonlimiting nutrients: implications for development of estuarine and nearshore management schemes. Estuaries 22: 92-104.
33. Schmidt, L. E. & P. J. Hansen, 2001. Allelopathy in the prymnesiophyte Chyrsochromulina polylepis: effect of cell concentration, growth phase and pH. Marine Ecology Progress Series 216: 67-81.
34. Shi, X. Y., 2003. Dynamic model and influence of nutrients and petroleum hydrocarbon to marine ecosystem in Changjiang Estuary, East China Sea. Doctor Thesis. Ocean University of China. Qingdao: 111-124.
35. Sommer, U., 1994. Are marine diatoms favoured by high Si:N ratios? Marine Ecology Progress Series 115: 309-315.
36. Spitz, H. Y., J. R. Moisan & M. R. Abbott, 2001. Configuring an ecosystem model using data from the Bermuda Atlantic Time Series (BATS). Deep Sea Research II 48: 1733-1768.
37. Steele, J. H., 1962. Environmental control of photosynthesis in the sea. Limnology and Oceanography 7: 137-150.
38. Sun, J., D. Y. Liu, Z. L. Wang, X. Y. Shi, R. X. Li & M. Y. Zhu, 2003. Microzooplankton herbivory during red tide-frequent-occurrence period in spring in the East China Sea. Chinese Journal of Applied Ecology 14: 1073-1080.
39. Suzuke, M., M. Sagehashi & A. Sakoda, 2000. Modelling the structural dynamics of a shallow and eutrophic water ecosystem based on mesocosm observations. Ecological Modelling 128: 221-243.
40. Tillmann, U. & U. John, 2002. Toxic effects of Alexandrium spp. on heterotrophic dinoflagellates: an allelochemical defence mechanism independent of PSP-toxin content. Marine Ecology Progress Series 230: 47-58.
41. Wang, B. D., 2006. Cultural eutrophication in the Changjiang (Yangtze River) plume: history and perspective. Estuarine Coastal and Shelf Science 69: 471-477.
42. Wang, J. H., 2000. Algae bloom monitor in Zhoushan Archipelago Sea Area. Journal of Zhejiang Ocean University (Natural Science) 20: 62-65.
43. Wroblewski, J. S., 1977. A model of phytoplankton plume formation during variable Oregon upwelling. Journal of Marine Research 35: 357-394.
44. Xu, R., J. C. Hong, G. L. Wang & H. Shen, 1994. On red tide in Yangtze Estuary and adjacent sea area. Marine Science Bulletin 13: 25-29.
45. Yamamoto, T. & G. Hatta, 2004. Pulsed nutrient supply as a factor inducing phytoplankton diversity. Ecological Modelling 171: 247-270.
46. Yamamoto, T., T. Hashimoto, K. Tsuji, O. Matsuda & K. Tarutani, 2002. Spatial temporal variations of biophilic elements in Hiroshima Bay, Japan, during 1991-2000, with special reference to the deviation of phytoplanktonic C:N:P ratio from the Redfield ratio. Bulletin on Coastal Oceanography 39: 163-169.
47. Zhang, J., S. M. Liu, J. L. Ren, Y. Wu & G. L. Zhang, 2007. Nutrient gradients from the eutrophic Changjiang (Yangtze River) Estuary to the oligotrophic kuroshio waters and re-evaluation of budgets for the East China Sea shelf. Progress in Oceanography 74: 449-478.
48. Zhou, M. J. & R. C. Yu, 2007. Mechanisms and impacts of harmful algal blooms and the count measures. Chinese Journal of Nature 29: 72-77.