Statistical Analysis<\/strong><\/p>\nTo test the seasonal flux variability between sites in Little Lagoon, two-way ANOVAs with site and date as independent variables were performed. When data could not be transformed to meet ANOVA assumptions, Wilcoxon\/Kruskal-Wallis nonparametric tests were used. When significant differences occurred, Tukey HSD or Steel-Dwass post hoc tests were used to determine significant interactions. A Principal component analysis (PCA) was conducted on all biogeochemical parameters to identify underlying multivariate components that may be influencing N fluxes. Spearman\u2019s rho correlation analysis was used to examine the relationship between the principal components and fluxes. Statistical significance of the data set was determined at \u03b1=0.05 and error is reported as standard error. All statistical analyses were performed in SAS JMP 10 (SAS Institute Inc.).<\/p>\n
BCO-DMO Data Processing Notes:<\/strong><\/p>\n- Data reorganized into one table under one set of column names
\n- Units removed from column names
\n- Column names reformatted to meet BCO-DMO standards
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