<p>PCA1 = site scores obtained by PCA ordination over a matrix of land-use types surrounding the fragments. Variance explained by axis 1 = 73%.</p
<p>The first two principal components (PC1 and PC2) accounted for 59.4% and 20.3% of total variance,...
<p>Principal component analysis normalized environmental data from stations along the Ellett Line tr...
<p>PCA ordination plot based on vegetation composition showing three distinct clusters (proportion v...
<p>Provided are untransformed ranges of the variables and the transformations applied to remove skew...
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>Green triangles refer to soil samples of undisturbed sites whereas orange dots are samples of env...
<p>Dots represent sites within estuaries. Vectors show the two-dimensional (PC1 and PC2) correlation...
<p>Points indicate the principal component loadings of each variable included in the PCA analysis. S...
<p>Cumulatively, PC axes explain 78.7% (climate), 79.6% (soil and terrain), 56.6% (climate, soil and...
<p>Projection of the environmental variables (arrows) and the sampling dates (colored points) on the...
<p>Principal coordinates analysis (PCA) of the nine measured environmental ...
Pearson correlation coefficients of environmental variables plot position along Axes 1 and 2 of the ...
<p>PCA plot based on 19 environmental variables (BIO01–BIO19) describing 20 <i>Tanacetum cinerariifo...
<p>The most significant factor in each case is in <b>bold</b>. Cons. var. explained = constrained va...
Plots from latitude -13°S to -18°S correspond to the savanna supercluster (green circles). Plots fro...
<p>The first two principal components (PC1 and PC2) accounted for 59.4% and 20.3% of total variance,...
<p>Principal component analysis normalized environmental data from stations along the Ellett Line tr...
<p>PCA ordination plot based on vegetation composition showing three distinct clusters (proportion v...
<p>Provided are untransformed ranges of the variables and the transformations applied to remove skew...
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>Green triangles refer to soil samples of undisturbed sites whereas orange dots are samples of env...
<p>Dots represent sites within estuaries. Vectors show the two-dimensional (PC1 and PC2) correlation...
<p>Points indicate the principal component loadings of each variable included in the PCA analysis. S...
<p>Cumulatively, PC axes explain 78.7% (climate), 79.6% (soil and terrain), 56.6% (climate, soil and...
<p>Projection of the environmental variables (arrows) and the sampling dates (colored points) on the...
<p>Principal coordinates analysis (PCA) of the nine measured environmental ...
Pearson correlation coefficients of environmental variables plot position along Axes 1 and 2 of the ...
<p>PCA plot based on 19 environmental variables (BIO01–BIO19) describing 20 <i>Tanacetum cinerariifo...
<p>The most significant factor in each case is in <b>bold</b>. Cons. var. explained = constrained va...
Plots from latitude -13°S to -18°S correspond to the savanna supercluster (green circles). Plots fro...
<p>The first two principal components (PC1 and PC2) accounted for 59.4% and 20.3% of total variance,...
<p>Principal component analysis normalized environmental data from stations along the Ellett Line tr...
<p>PCA ordination plot based on vegetation composition showing three distinct clusters (proportion v...
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