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Table 6

Results of ANOSIM and SIMPER analyses showing the differences between a priori defined groups, defining average similarity within each group and average dissimilarity between pairs of pre-defined groups; n = 156; sp – spring samples, su – summer samples, au – autumn samples.

Examined A priori Average Compared Average ANOSIM p ANOSIM p
parameter defined groups similarity (%) pairs of groups dissimilarity (%) statistical R global R
Groups of reservoirsdefined based on themain aim of usage Multipurpose 18.23 Multipurpose/ 88.69
0.534 ***
reservoirs water-supply reservoirs

Drinking water- 50.90
supply reservoirs

group (1) 26.86 1/2 83.62 0.174 *** 0.376 ***

group (2) 18.22 2/3 93.43 0.757 ***

group (3) 58.87 1/3 79.94 0.557 ***

Groups of reservoirs group (4) 56.68 4/5 59.46 0.566 ***

defined based on the group (5) 52.75 1/4 77.93 0.324 **

results of CCA analyses 1/5 79.50 0.321 **

2/4 91.91 0.656 ***

2/5 92.63 0.681 ***

3/4 54.43 0.451 ***

3/5 51.51 0.315 *

Seasonal variability sp 17.48 sp/au 82.71 0.109 *** 0.082 **

in multi-purpose su 17.72 sp/su 83.32 0.058 ns

reservoirs au 20.53 su/au 80.25 0.033 ns

Seasonal variability in sp 50.27 sp/au 57.75 0.090 ** 0.064 ns

drinking water-supply su 52.97 sp/su 51.90 0.070 ns

reservoirs au 54.05 su/au 45.25 –0.026 ns

Seasonal variability sp/au 0.153 ** 0.066 ns

in group 1 sp/su –0.238 ns

su/au 0.016 ns

Seasonal variability sp/au 0.129 *** 0.113 ***

in group 2 sp/su 0.162

su/au 0.032 ns

Seasonal variability sp/au 0.133 * 0.123 ns

in group 3 sp/su 0.109 ns

su/au 0.119 ns

Seasonal variability sp/au 0.850 ** 0.631 ***

in group 4 sp/su 0.563 ns

su/au –0.021 ns

Seasonal variability sp/au 0.074 ns 0.022 ns

in group 5 sp/su 0.111 ns

su/au –0.333 ns

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