Variance partitioning using pRDA for each dataset Sample Clauses

Variance partitioning using pRDA for each dataset. Pure effect of spatial variables (black), eutrophication (red), morphological pressures (blue) and lake morphomentry and geology (yellow). Grey: interanctions among the 4 groups of variables; white: unexplained variance. The analysis has been performed for the 45-lake dataset separately for each country (Austria, Germany and Italy). The forward selection results are reported in Tab.5. The total amount of explained variance was 22.1%, 15% and 6.1% for Italian, German and Austrian lakes rispectively. The eutrophication explained 1.5% of the community variance in Italian lakes but was not explicative for German and Austrian lakes. The morphological pressures explained 0.8%, 1.1% and 1.8% of the variance rispectively in Austrian, German and Italian lakes. Morphomentry and geology explained 1.7% and 2.3% of the variance rispectively in Italian and German while none in Austrian lakes. The spatial component 8.5%, 3.5% and 3.9% in Italian, German and Austrian lakes (Fig.3).
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