Partial least squares (PLS) regression analysis (final models following stepwise analysis) of annual mean seagrass biomass relative to available climate and environmental data at Weipa, North Queensland, Australia (2000 to 2010).

<p>Table shows the overall ‘global’ ANOVA statistics for each of the regression models, the individual principal components and their cumulative R² values. Individual regression coefficients of the specific biomass predictors (environmental variables) are also shown.</p

Location of the seagrass meadow near the town of Weipa, Queensland, Australia.

<p>Location of the seagrass meadow near the town of Weipa, Queensland, Australia.</p

Climate and environmental factors together with their averaging times used in Partial Least Squares (PLS) regression analysis of seagrass meadow changes at Weipa, North Queensland, Australia (2000 to 2010).

<p>Climate and environmental factors together with their averaging times used in Partial Least Squares (PLS) regression analysis of seagrass meadow changes at Weipa, North Queensland, Australia (2000 to 2010).</p

Validation data

Validation data used to validate the DBN model for Amphibolis in Jurien Bay, Halophila at Hay Point, and Zostera at Gladstone (supporting information S4 through S6, respectively)

Rate of Recovery in Shoot Density

DBN CPT (visualised in supporting information S7

Physiological Status of Plants

DBN CPT (visualised in supporting information S7

Recruitment Rate from Seeds

DBN CPT (visualised in supporting information S7

Seed Density

DBN CPT (visualised in supporting information S7