<p>Entries are component loadings; eigenvalues and percentage of variation explained for the three significant principal components for each site. Significant loadings are in boldface type.</p
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
Selection of parameters (indicators) for soil quality index using eigenvectors obtained through prin...
<p>Factors 1 and 2 accounted for 45.10% and 33.90%, respectively, of the variance.</p
<p>Principal Component Analysis (PCA) of 12 soil fertility measures for 134 plots.</p
<p>Boldface numbers are heavily weighted factors under each principal component (PC).</p><p>Results ...
<p>Green triangles refer to soil samples of undisturbed sites whereas orange dots are samples of env...
<p>Variables with correlation coefficients higher than 0.50 are highlighted in bold.</p
<p>Empty and filled symbols correspond to soils from Jujuy and Salta, respectively. Shape of symbol ...
<p>The first two principal components accounted for 77.4% of the variation. The four treatments (n =...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
<p>Correlations of 14 soil variables with the three major axes of the soil PCA analysis.</p
<p>Cumulatively, PC axes explain 78.7% (climate), 79.6% (soil and terrain), 56.6% (climate, soil and...
<p>Score plot of five vegetation types during Principal Component Analysis of site properties, inclu...
<p>The variance explained by the each principal component is shown in parentheses. Right: plot of ca...
<p>(A) OTUs with high positive loading on PC1; (B) OTUs with high negative loading on PC1. White bar...
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
Selection of parameters (indicators) for soil quality index using eigenvectors obtained through prin...
<p>Factors 1 and 2 accounted for 45.10% and 33.90%, respectively, of the variance.</p
<p>Principal Component Analysis (PCA) of 12 soil fertility measures for 134 plots.</p
<p>Boldface numbers are heavily weighted factors under each principal component (PC).</p><p>Results ...
<p>Green triangles refer to soil samples of undisturbed sites whereas orange dots are samples of env...
<p>Variables with correlation coefficients higher than 0.50 are highlighted in bold.</p
<p>Empty and filled symbols correspond to soils from Jujuy and Salta, respectively. Shape of symbol ...
<p>The first two principal components accounted for 77.4% of the variation. The four treatments (n =...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
<p>Correlations of 14 soil variables with the three major axes of the soil PCA analysis.</p
<p>Cumulatively, PC axes explain 78.7% (climate), 79.6% (soil and terrain), 56.6% (climate, soil and...
<p>Score plot of five vegetation types during Principal Component Analysis of site properties, inclu...
<p>The variance explained by the each principal component is shown in parentheses. Right: plot of ca...
<p>(A) OTUs with high positive loading on PC1; (B) OTUs with high negative loading on PC1. White bar...
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
Selection of parameters (indicators) for soil quality index using eigenvectors obtained through prin...
<p>Factors 1 and 2 accounted for 45.10% and 33.90%, respectively, of the variance.</p