TAN Xuebo. Relationship between phytoplankton quantity and its environmental factors in wetland of cold regions in spring and summer based on the grey association analysis[J]. South China Fisheries Science, 2009, 5(1): 17-22. DOI: 10.3969/j.issn.1673-2227.2009.01.003
Citation: TAN Xuebo. Relationship between phytoplankton quantity and its environmental factors in wetland of cold regions in spring and summer based on the grey association analysis[J]. South China Fisheries Science, 2009, 5(1): 17-22. DOI: 10.3969/j.issn.1673-2227.2009.01.003

Relationship between phytoplankton quantity and its environmental factors in wetland of cold regions in spring and summer based on the grey association analysis

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  • Received Date: July 28, 2008
  • Revised Date: August 19, 2008
  • The purpose of this paper was to provide basic information for management and a foundation for the future study in ecosystem dynamics and eutrophication on cold regions wetland based on studying the correlation of phytoplankton quantity and its environmental factors. An investigation on the phytoplankton quantity and environmental factors on Anbanghe wetland, a type of cold region swamp in northeast of China, was conducted during July (summer) 2005 and May (spring) 2006. There were 92 common species occurred in both seasons, among which 37 taxa and 82 taxa were identified in spring and summer, respectively. In spring the average abundance was 268.45×104 ind · L-1, and in summer was 268.45×104 ind · L-1. The temporal distribution of amount was summer>spring, and spatial distribution was upstream region>downstream region, and edge area>core area. The temporal and spatial variation of environmental factors among sampling station and seasons was regular except the diaphaneity and pH. The biggest difference in distribution of environmental factors was PO4-P. The result of grey association analysis showed that the highest value of grey association degree is in PO4-P both in spring and summer. All of these indicated the factor which seriously influenced phytoplankton quantity was phosphate. Thus, it is important to control the phosphate input to maintain ecosystem health of Anbanghe wetland.

  • [1]
    FRONEMAN P W. Food web dynamics in a temperate temporarily open/closed estuary (South Africa)[J]. Est Coast Shelf Sci, 2004, 59(1): 87-95. doi: 10.1016/j.ecss.2003.08.003
    [2]
    PEDRO C, EMILIO M, VALESCA P, et al. Phytoplankton size structure and primary production in a highly dynamic coastal ecosystem (Ria de Vigl, NW-Spain): seasonal and short-time scale variability[J]. Est Coast Shelf Sci, 2006, 67(1/2): 251-266. doi: 10.1016/J.ECSS.2005.11.027
    [3]
    EISELTOVA M, POKORNY J. Filamentous algae in fish ponds of the Trebon biosphere reserve-ecophysiological study[J]. Vegetatio, 1994, 113(2): 115-120.
    [4]
    RODRIGO S, MAR A L S, MAR A C M, et al. Experimental study of the zooplankton impact on the trophic structure of phytoplankton and the microbial assemblages in a temperate wetland (Argentina)[J]. Limnologica, 2007, 37(1): 88-99. doi: 10.1016/j.limno.2006.09.001
    [5]
    高菊红, 舒俭民, 宋福, 等. 牡丹江支流河源湿地水生生态环境现状调查研究[J]. 环境科学研究, 2007, 20(1): 69-74. doi: 10.3321/j.issn:1001-6929.2007.01.013
    [6]
    黄会明, 王俊, 胡桂仙, 等. 柑桔敲击响应主频率与影响因素的灰色关联分析[J]. 浙江大学学报: 农业与生命科学版, 2005, 31(5): 659-662.
    [7]
    覃雪波, 黄璞袆, 刘曼红, 等. 安邦河湿地夏季浮游植物集群划分[J]. 南方水产, 2007, 3(6): 1-7. doi: 10.3969/j.issn.2095-0780.2007.06.001
    [8]
    GURBUZ H, KIVRAK E. Use of epilithic diatoms to evaluate water quality in the Karasu River of Turkey[J]. J Environ Biol, 2002, 23(3): 239-246. doi: 10.1016/S0169-7722(01)00214-5
    [9]
    KATHERINE RM, ROCHELLE GL, MIKE C, et al. Phosphorus availability, phytoplankton community dynamics, and taxon-specific phosphorus status in the Gulf of Aqaba, Red Sea[J]. Limnol Oceanogr, 2007, 52(2): 873-885. doi: 10.4319/lo.2007.52.2.0873
    [10]
    张运林, 秦伯强, 陈伟民, 等. 太湖梅梁湾浮游植物叶绿素a和初级生产力[J]. 应用生态学报, 2004, 15(11): 2 127-2 131. doi: 10.3321/j.issn:1000-0933.2006.12.007
    [11]
    BOYER J N, CHRISTIAN R R, STANLEY P W. Patterns of phytoplankton primary productivity in the Neuse River Estuary, North Carolina, USA[J]. Mar Ecol Prog Ser, 1993, 97(3): 287-297. https://www.jstor.org/stable/24833625
    [12]
    HORNE A J, GOLDMAN C R. Limnology[M].2nd edition. New York: McGraw-Hill Inc, 1994: 576-577. https://www.amazon.com/Limnology-Charles-R-Goldman/dp/0071133593
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