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<br />Ordination techniques were applied to the data with the use of two <br />computer programs from the Cornell Ecology Program series. DECORANA, <br />a Fortran program which was used for detrended correspondence analysis <br />(Hill 1979) and ORDIFLEX, which was utilized for its programs for polar <br />ordination and principal components analysis (Gauch 1977). DECORANA <br />was performed with no transformation of the data and no downweighting <br />of rare species. Polar ordination was run with both automatic and user <br />selected samples as endpoints. Percentage distance was the measure used <br />for the computation of similarity of species composition among the various <br />samples, which is required for polar ordination. A major fu~~tion of <br />ordination is identification of groups of similar samples, The equation <br />for the percentage distance (PO) similarity measure is: <br />I <br />200 . L m in (D.., D. k ) <br />PDjk = IA - PSjk, where PSjk = i = 1 lJ 1 <br />I <br />L (Dij + Dik) <br />i = 1 <br />where IA is the internal association, PS is the percentage similarity, <br />where the summations are over all species (I), Dij and Dik are the abundances <br />of species i in samples j and k, and Sj and Sk are the numbers of species <br />in samples j and k. The data were log transformed before principal components <br />analysis was appl ied. The output from PCA was centered and standardized. <br /> <br />The reduced biological data were then related to environmental predictor <br />variables using multiple regression and correlation analysis. These <br />statistical methods were util ized to assess the importance of such factors <br />as rates of flow change, temperature, substrate heterogeneity, and altered <br />autochthonous (periphyton) and allochthonous (seston) carbon resources <br />in determining the composition of benthic communities downstream from <br />dams. <br /> <br />RESUL TS <br /> <br />Density and Biomass Estimates <br /> <br />Data collected from October, 1979 to September, 1980 (1980 water <br />year) were used for comparisons of insect densities (number/m2) and biomass <br />(cc/m2) at the four sample stations. Accurate quantification of numbers <br />and biomass in the Kootenai River was compl icated by the fact that discharge <br />from Libby Dam was reduced to 4,000 cfs just prior to invertebrate sampling. <br />Insect drift is induced by reductions in flow and these flow reductions <br />may have concentrated insects along the shoreline where samples were <br />taken. <br /> <br />Annual mean densities (numberjm2) of all invertebrates ranged about <br />1.5 to 2.5 times qreater in the Kootenai River than in the Fisher River <br />(Table 1, Figure 3). Monthly mean densities for each insect order at <br />each station are listed in Appendix 1. <br /> <br />A one-way analysis of variance (ANOVA) at the four stations was <br />run on log transformed data of the monthly mean densities of all invertebrates. <br />Densities were significantly different (p<.05) for pairwise comparisons <br /> <br />-7- <br />