<p>Principal coordinates analysis (PCA) of the nine measured environmental variables. Vector overlays represent multiple correlations between ordination axes and environmental parameters. PC1 is associated with particulate phosphorus (PP) and nitrogen (PN), chlorophyll-<i>a</i> (chl-<i>a</i>) and salinity whereas PC2 is associated mainly with sedimentation (Sed), maximum temperature 14 days preceding and including the sampling date (Tmax 14d) maximum temperature 7 days preceding and including the sampling date (Tmax ...
<p>a) Principal Component Analysis performed on physicochemical data, with samples grouped by season...
Pearson correlation coefficients of environmental variables plot position along Axes 1 and 2 of the ...
<p>White symbols represent samples from week 1. Black symbols are samples from week 16. Coral coloni...
<p>Principal component analysis normalized environmental data from stations along the Ellett Line tr...
<p>Principal components analysis (PCA) for all environmental variables labeling different factors: r...
<p>Dots represent sites within estuaries. Vectors show the two-dimensional (PC1 and PC2) correlation...
<p>PCA axis 1 largely represents decreasing moisture supply, while axis 2 is mostly associated with ...
<p>Projection of the environmental variables (arrows) and the sampling dates (colored points) on the...
<p>The ordination plot summarizes the variation of the environmental and biotic variables across the...
<p>The first two principal components (PC1 and PC2) accounted for 59.4% and 20.3% of total variance,...
<p>Loadings of the environmental and biological variables (DIN, dissolved inorganic nitrogen; P, dis...
PCA of Chl a, meteorological and hydrological data for the 2015 data set (A) and 2016 data set (B). ...
<p>The ordination plot summarizes the variation of the environmental and biotic variables across the...
<p>PCA plot of the environmental conditions in the study area based on 15 variables and altitude use...
<p>Diagram is established based on 10-m depth temperatures, 10-m depth salinity, and the average con...
<p>a) Principal Component Analysis performed on physicochemical data, with samples grouped by season...
Pearson correlation coefficients of environmental variables plot position along Axes 1 and 2 of the ...
<p>White symbols represent samples from week 1. Black symbols are samples from week 16. Coral coloni...
<p>Principal component analysis normalized environmental data from stations along the Ellett Line tr...
<p>Principal components analysis (PCA) for all environmental variables labeling different factors: r...
<p>Dots represent sites within estuaries. Vectors show the two-dimensional (PC1 and PC2) correlation...
<p>PCA axis 1 largely represents decreasing moisture supply, while axis 2 is mostly associated with ...
<p>Projection of the environmental variables (arrows) and the sampling dates (colored points) on the...
<p>The ordination plot summarizes the variation of the environmental and biotic variables across the...
<p>The first two principal components (PC1 and PC2) accounted for 59.4% and 20.3% of total variance,...
<p>Loadings of the environmental and biological variables (DIN, dissolved inorganic nitrogen; P, dis...
PCA of Chl a, meteorological and hydrological data for the 2015 data set (A) and 2016 data set (B). ...
<p>The ordination plot summarizes the variation of the environmental and biotic variables across the...
<p>PCA plot of the environmental conditions in the study area based on 15 variables and altitude use...
<p>Diagram is established based on 10-m depth temperatures, 10-m depth salinity, and the average con...
<p>a) Principal Component Analysis performed on physicochemical data, with samples grouped by season...
Pearson correlation coefficients of environmental variables plot position along Axes 1 and 2 of the ...
<p>White symbols represent samples from week 1. Black symbols are samples from week 16. Coral coloni...