覃雪波. 基于灰色关联的寒区湿地春夏季浮游植物数量与环境因子关系[J]. 南方水产科学, 2009, 5(1): 17-22. DOI: 10.3969/j.issn.1673-2227.2009.01.003
引用本文: 覃雪波. 基于灰色关联的寒区湿地春夏季浮游植物数量与环境因子关系[J]. 南方水产科学, 2009, 5(1): 17-22. DOI: 10.3969/j.issn.1673-2227.2009.01.003
QIN 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: QIN 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

基于灰色关联的寒区湿地春夏季浮游植物数量与环境因子关系

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

  • 摘要: 根据夏季(2005年7月)和春季(2006年5月)对寒区湿地--安邦河湿地浮游植物数量及其环境因子的调查,为寒区湿地管理及以后研究提供依据和基础资料。共采到浮游植物8门92种,其中春季37种,夏季82种,数量变化呈现夏季高于春季,上游高于下游,边缘区高于核心区。环境因子除了透明度(diaphaneity,D)和pH值外,水温(water temperature,WT)、可溶性无机氮(dissolved inorganic nitrogen,DIN)、磷酸盐(PO4-P,P)及溶解氧(dissolved oxygen,DO)都呈现明显时空规律性变化。差异度结果显示2季节P的差异度最大。灰色关联分析结果表明,P的关联度在2季节均是最大。由此表明对安邦河湿地浮游植物数量影响最大的是P,因此,控制外源性的P输入对于维持安邦河湿地生态系统的健康是非常重要的。

     

    Abstract: 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 268.45104 indL-1, and in summer was 268.45104 indL-1. The temporal distribution of amount was summerspring, and spatial distribution was upstream region downstream region, and edge areacore 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.

     

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