國立臺灣大學昆蟲學系暨研究所楊平世2006-07-252018-06-292006-07-252018-06-292000http://ntur.lib.ntu.edu.tw//handle/246246/12554由於溪流生態系的複雜性，致使 環境因子對水棲昆蟲分佈的效應，較 難明確評估，但利用間接梯度分析 (indirect gradient analysis)的方法，能夠 客觀而定量分析環境與生物間之關 係。本研究以1999 年8 月至2000 年7 月間基隆河五個採樣站，就環境因子 及水棲昆蟲的調查結果，應用主成份 分析(principal component analysis, PCA)的排序技術(ordination)，探討水 棲昆蟲群聚與環境因子梯度間之關 係。由單向變方分析之結果顯示，水 棲昆蟲各群聚參數在各採樣站之間具 有顯著之差異，在季節之間則無顯著 差異存在，各參數間具有高的相關 性；不同環境因子的變異則有差異。 以水棲昆蟲目級與科級分類資料進行 主成份分析，水棲昆蟲在基隆河之群 聚結構以蜉蝣目、毛翅目及雙翅目之 種類為主；種類數、密度、歧異度之 變化主要受生化需氧量、磷酸鹽、導 電度及濁度等水質因子之影響，而在 酸鹼值的變動範圍之內，鹼性的水質 較有利於水棲昆蟲的分佈。利用水棲 昆蟲生物指標能反應出環境的優劣。 藉由主成份分析的二維排序結果，除 可解釋環境因子在水棲昆蟲群聚變異 上相對的重要性外，亦較能釐清環境 因子及水棲昆蟲在各採樣站空間分佈 的差異及時間變化的趨勢。This study present the results of aquatic insects fauna and related ecological studies conducted at 5 sampling sites in the upper Keelung River, Taiwan, from Aug., 1999 to Jul., 2000. The environmental factors and the aquatic insect composition were investigated monthly to define the relationship between aquatic insect community structure and environmental parameters by using the analysis of PCA (principal component analysis) ordination technique. The analysis of one-way ANOVA indicated that most of aquatic insect parameters and environmental parameters were significant affected by site, but not by season. The aquatic insect parameters and environmental parameters were significant correlated. Ephemeroptera, Trichoptera and Diptera were the most numerous taxa both in taxa richness and abundance. The analysis of PCA determined that the taxa richness, diversity and diversity indices of the aquatic insect were significantly affected by BOD, concentration of phosphate, conductivity and turbidity. In the given range of pH variation, the number of species and the abundance of aquatic insect were positive correlated with the pH value. The environmental factors affecting the distribution of aquatic insect and their longitudinal and temporal changes were more obvious by the biplot of the PCA ordination.application/pdf159822 bytesapplication/pdfzh-TW國立臺灣大學昆蟲學系暨研究所水棲昆蟲基隆河主成份分析群聚結構生物指標生態研 究Aquqtic insectsKeelung RiverPrincipal component analysisCommunity structureBiotic indicesEcological studyreporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/12554/1/892313B002028.pdf