65 



of the three clusters that were significantly correlated with specific 

 conductance were also correlated with TSI(AVG) and pH. Among the 

 morphometeric variables, two clusters were signifcantly correlated 

 with mean depth, and one cluster was correlated with shoreline 

 development. Two clusters were significantly correlated with both 

 lake surface area and shoreline length. Of the 70 correlation 

 coefficients between macrophyte variables and diatom clusters, only 

 three correlation coefficients were significant. One cluster that was 

 composed of Caloneis sp. A and Navicula seminulum vars. 

 demonstrated a significant correlation with emergent biomass as in 

 the unpartialled analysis, and this again appeared spurious because 

 the correlation was driven by anomalously high percentages of both 

 taxa in Crooked Lake. The second cluster, which consisted of 

 Anomoeneis spp. (S-ANOM), Gomphonema spp. (S-GOMA), Navicula 

 pupula vars., and Stauroneis spp. (S-STAU), was correlated with both 

 percent-area coverage and percent-volume infestation. Taxonomic 

 groups in this cluster that showed a directional change in abundance 

 over the range of percent-area coverage and percent-volume 

 infestation were included among the independent variables in the 

 stepwise regression procedures to predict these macrophyte 

 variables (Appendix 3.1 and 3.4). 



Cluster analysis based on sedimentary concentrations of diatoms 

 produced 12 clusters, 4 of which were significantly correlated with 

 TSI(AVG), and 5 of which were correlated with pH. The 

 morphometeric variables lake-surface area and shoreline length 

 were each significantly correlated with 2 separate clusters. Of 60 

 correlation coefficients between diatom clusters and macrophyte 



