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Table 4 



Eigenvalues and species-environment correlations (r 2 l for each axis analyzed (correspondence analysis [CA] and canonical cor- 

 respondence analysis [CAA]) by season and the entire year. A sharp drop in the eigenvalue marks the axes that explain most 

 of the data. Species and environment correlations represent the strength of the relation between the species data and the envi- 

 ronmental data for each axis within each season. Values of zero denote no relation; values of one denote a perfect relation. The 

 product of the species-environment correlation and the eigenvalue explains the variance in the data for CCA. Eigenvalues alone 

 explain the variance in the data for CA. 



Season 



CA axis 



CCA axis 



Spring 



Eigenvalue 



r 2 

 Summer 



Eigenvalue 



r 2 

 Fall 



Eigenvalue 



r 2 

 Winter 



Eigenvalue 



r 2 

 Year 



Eigenvalue 



0.932 



0.674 0.348 



0.792 0.621 



0.738 0.544 



0.537 



0.273 



0.526 



0.937 



0.287 0.197 



0.788 0.607 



0.107 



0.292 



0.106 



0.165 



0.54 



