河口浮游矽藻之生態指標研究

CNU IR > Pharmacy and Science > Dept. of Biotechnology (including master's program) > MOST Project > Item 310902800/2384

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/2384

Title:	河口浮游矽藻之生態指標研究 Study on the planktonic diatom communities as ecological indicator of estuaries
Authors:	賴雪端
Contributors:	生物科技系
Keywords:	河口浮游矽藻優勢種生態指標 Estuary planktonic diatom ecological indicator
Date:	2005
Issue Date:	2008-07-31 14:37:41 (UTC+8)
Publisher:	台南縣：嘉南藥理科技大學生物科技系
Abstract:	本研究利用多變數分析法探討不同污染程度之將軍溪、曾文溪及二仁溪等三河口之環境因子及浮游性矽藻之生態指標性。為評估影響水質變化之主要因子，應用主成份分析及集群分析探討13 個環境變數，包括水溫, DO, EC, pH, Salinity, Chl.a, NO3-N+NO2, NH4-N, TKN, TN, SiO3, PO4-P 及TP 等季節變化之最大變異數，並以non-metric multi-dimensional scaling (NMDS)及BioEnv analysis 探討環境因子與浮游矽藻間的關係。此外亦偵測重金屬銅、鎘、鉻、鋅、鉛、鎳，及鐵等之污染物之濃度。結果共發現26 種浮游矽藻，分屬於19 屬。其它尚有甲藻、綠藻及藍綠藻等非矽藻類浮游藻類。主成份分析13 個環境變數顯示:共可萃取出三個特徵值大於1 之主成份，佔總變異數之87.8%，其中第一成份之特徵值為7.0，變異數為54.3%，主要與TKN, PO4-P, TP, TN,及Chl. a 之相關性最高，顯示浮游藻類之季節性變化與氮與磷等營養源之關係最顯著。 This study focused on the ecological indicators of environmental variables and phytoplankton from three various polluted estuaries (JJR, TWR, ERE) in four seasons by using multivariate analysis. Principal component analysis (PCA) and cluster analysis (CA) were applied to data matrix (mean values of water column ) of 13 referred variables, including water temperature, DO, EC, pH, Salinity, Chl.a, NO3-N+NO2, NH4-N, TKN, TN, SiO3, PO4-P and TP, in order to assess the seasonality of the respective patterns and to highlight areas of similar variables influence. BioEnv analysis was also done by the non-metric multi-dimensional scaling (NMDS) and Spearman rank correlation to realize the relationship between environmental factors and phytoplankton. In addition, some heavy metals of Cu, Cd, Cr, Zn, Pb, Ni and Fe were also detected. A total of 26 diatom taxa from 19 genera were identified. The other species including dinoflagellates, green alge and blue green algae also identified. The results of PCA analysis revealed that 3 principal components were reduced from 13 environmental variables. These 3 principal components could explain 87.8 % of the total variance. Principal component 1 appeared as eigenvalue of 7.0 and explained 54.3% of total variance, which had large positive loadings with the nutrients of TKN, PO4-P, TP, TN,及Chl. a, The results showed that the seasonal variation of planktonic algae had high significant with the nutrients of nitrogen and phosphorus.
Relation:	計畫編號：NSC 94-2611-M-041 -001
Appears in Collections:	[Dept. of Biotechnology (including master's program)] MOST Project

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