80 



assemblage. The adjusted R2 for this model was 0.419. This 

 multivariate model was significantly confounded with TSI(AVG) (R2 = 

 0.665, p < 0.001) and would therefore be unsuitable for predictive 

 purposes. 



The stepwise procedure was applied to sedimentary diatom 

 concentration data for 8 taxonomic groups (Appendix 3.5). Cp 

 statistics indicated that the best model was; 



PAC = 44.408 + 2.14 X 10-6(ACHLIN) - 2.7 x 10-7(S-AULAGR) + 

 9.53 X 10-5(EUNINC) + 1.91 x 10-5 (STAUPH) 3.4 



R2 = 0.607, p = 0.002, n = 22, adj. R2 = 0.514. 

 Acronyms for taxonomic groups are defined in Appendices 1 and 2. 



The best model produced by the stepwise procedure using log- 

 transformed sedimentary diatom concentration data showed an R2 = 

 0.422, that was less robust than the model based on untransformed 

 data. 



The stepwise procedure was applied to annual diatom 

 accumulation rates for 11 diatom taxonomic groups (Appendix 3.6). 

 The procedure was also used for log-transformed accumulation rate 

 data of these taxa. The best model included 3 diatom taxonomic 

 groups and showed an R2 = 0.415 (p = 0.006). This model bore a 

 stronger relationship with TSI(AVG) (R2 = 0.480, p < 0.001), and was 

 therefore significantly confounded by this trophic state variable. 



Floating-Leaved Biomass 



Stepwise multiple regression was performed on sedimentary 

 concentration and log-transformed sedimentary concentration of 



