Appendix A. Additional tables, methods, and results.

Additional tables, methods, and results

Prevalence of coral health and cover

Prevalence of coral health and cove

Map showing study site and coral health survey locations at Montebello and Barrow Islands, Western Australia.

<p>Colored overlays (gradient from red to blue) indicate satellite-derived sediment plume exposure days determined by hot spot analysis of MODIS satellite imagery. Pie charts indicate the proportion of colonies at each site (n = 3 transects per site) recorded as apparently healthy (blue), diseased (red) or displaying other signs of compromised coral health (green). Numbers inset on pie charts indicate satellite-derived sediment plume exposure days at each site. Colors ringing pie charts indicate plume exposure categories, i.e. white: low (0 to 9 exposure days); blue: moderate (40 to 78 exposure day); and red: high (296 to 347 exposure days).</p

Mean prevalence of (a) coral disease and (b) other signs of compromised coral health at sites within three sediment plume exposure categories: low (0 to 9 plume exposure days; n = 18 transects), moderate (40 to 78 plume exposure days; n = 9 transects), and high (296 to 347 plume exposure days; n = 6 transects).

<p>Stacked bars indicate disease or other compromised coral health indicator prevalence by category and error bars indicate standard error among transects for total prevalence of disease or other compromised coral health indicators. Letters indicate post-hoc groupings (Tukey's HSD, <i>p<0.05</i>) between sediment plume exposure categories.</p

Mean prevalence of (a) coral disease and (b) other signs of compromised coral health at sites within three sediment plume exposure categories: low (0 to 9 plume exposure days; n = 18 transects), moderate (40 to 78 plume exposure days; n = 9 transects), and high (296 to 347 plume exposure days; n = 6 transects).

<p> Stacked bars indicate disease or other compromised coral health indicator prevalence by category and error bars indicate standard error among transects for total prevalence of disease or other compromised coral health indicators. Letters indicate ≥ 90% probability of differences (by Bayesian hierarchical modeling) between sediment plume exposure categories.</p

Environmental predictor variables assessed in a multivariate multiple regression analysis (DISTLM) at sites within three sediment plume exposure categories determined by MODIS satellite imagery: low (0 to 9 plume exposure days, n = 6 sites), moderate (40 to 68 plume exposure days, n = 3 sites) and high (296 to 347 plume exposure days, n = 2 sites); and results of an analysis of variance (ANOVA) for each predictor variable among dredge plume exposure groups.

a<p>Number of days the sediment plume was recorded over a site for the duration of dredging operations (days).</p>b<p>Prevalence of coral colonies with crown-of-thorns seastar lesions determined by <i>in situ</i> coral health surveys (%).</p>c<p>Prevalence of coral colonies with <i>Drupella</i> lesions determined by <i>in situ</i> coral health surveys (%).</p>d<p>Total hard coral cover on transects determined by line intercept method (%).</p>e<p>Maximum sea surface temperature recorded during dredging operations (May 2010 to November 2011) (°C).</p>f<p>Maximum excursion of sea surface temperature from the long-term climatological value during dredging operations (May 2010 to November 2011) (°C).</p>g<p>Accumulation of thermal anomalies greater than the long-term summer mean temperature plus one standard deviation (°C-weeks).</p>h<p>Accumulation of winter anomalies (+ and −) from the long-term winter mean temperature (°C-weeks).</p>i<p>Average of summer temperature anomalies greater than zero calculated from the monthly mean temperature plus one monthly standard deviation.</p>j<p>Modeled numeric prediction of disease abundance based upon MPSA and total coral cover (disease cases per 1,500 m²).</p>k<p>Peak SST and Peak SSTA were excluded from the DISTLM due to a strong correlation with Hot Snap (r = 0.87 and 0.79, respectively).</p

Datasets: Lamb et al. Seagrass ecosystems reduce exposure to pathogens_Datasets

Includes 3 datasets for scripts used in Lamb et al. Seagrass ecosystems reduce exposure to pathogens_Scripts.R: (1) Enterococcus Assays (Entero.csv), (2) Potential pathogens of humans, fishes and marine invertebrates using sequencing of 16S rRNA gene (Pathogens.csv) and (3) Prevalence of coral diseases (Coral disease.csv)

R Script

R Scrip

Scripts: Lamb et al. Seagrass ecosystems reduce exposure to pathogens_Scripts

R scripts used in statistical analyses for Figs. 1- 3 and corresponding Supplemental Materials

Transect length used to determine reef area

Transect length used to determine reef are