Lake Tahoe Nearshore Periphyton Study

Correlation and Trend Analysis

We will be graphing time series of all measured parameters in order to evaluate qualitative patterns and statistical moments. Multivariate analysis will include analysis of variance and principal component analysis. If necessary, structural equation modeling will be used to explore direct and indirect relations between possible explanatory variables and seasonal changes in periphyton biomass and periphyton metabolic rates. These analyses are intended to reveal correlation between the seasonal and sub-seasonal variability in physical and chemical properties of lake and pore-water as explanatory variables for the variability and growth of periphyton.

Structural equation modeling and/or mechanistic algal hydrodynamic modeling will be used to explore direct and indirect relations between possible explanatory variables and seasonal changes in periphyton biomass and periphyton metabolic rates.

Comparison between measured periphyton biomass at the Pineland monitoring site (green line) and statistical model using multivariate regression (yellow line). All values were normalized (value-mean)/(standard deviation). Data provided by Hackley and Rueter.