SEARCH

SEARCH BY CITATION

Figure S1. Cluster analysis using Ward's method based on squared Euclidian distances to identify similarities among abundances of zooplankton taxa for the 70 lakes of the spatial survey. Species abundances were normalized (log10-transformation) and standardized (z-transformation).

Figure S2. Classification and regression tree analysis (CART) identifying hierarchical structures in which environmental parameters control taxonomic richness of zooplankton communities in the spatial survey of 70 lakes. Proportional reduction in error is 76%. Box plots indicate distribution shape, central tendency, and variability of taxonomic richness. Values within final nodes specify number of lakes within each group. Units are g L-1 for salinity, mg L-1 for Ca, μg L-1 for TP and NH4, and m for lake depth.

Table S1. Pearson product-moment correlation coefficients (r) among environmental parameters for the 70 study lakes that were included in the spatial survey. Single and double asterisks indicate significant correlations at P=0.05 and 0.01, respectively. Values highlighted in bold have r2-values >0.6.

Table S2a. Modeled relationships between pelagic invertebrate taxa and environmental parameters (species-environment relations) for CCA that was performed on the 70 study lakes of the spatial survey.

Table S2b. Sequential amount of variance explained by individual CCA axes (cumulative fit) as fraction of variance explained for taxa that were included in the CCA performed on the 70 study lakes of the spatial survey. CCA axes with highest contribution to explained variability are highlighted in bold for individual taxa.

Table S3a. Modeled relationships between pelagic invertebrate taxa and environmental parameters (species-environment relations) for CCA that was performed on the 21 study lakes of the seasonal survey.

Table S3b. Sequential amount of variance explained by individual CCA axes (cumulative fit) as fraction of variance explained for taxa that were included in the CCA performed on the 21 study lakes of the seasonal survey. CCA axes with highest contribution to explained variability are highlighted in bold for individual taxa.

Please note: Wiley-Blackwell are not responsible for the content or functionality of any supporting materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article.

FilenameFormatSizeDescription
GCB_2291_sm_appendix.doc155KSupporting info item

Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.