Appendix A. Combinations of probabilities used for each of the input nodes to predict the likelihood of starting seagrass biomass at different impact levels (Step 4) and to determine the effect of starting seagrass biomass on the likelihood of more seagrass biomass (Step 5).

Combinations of probabilities used for each of the input nodes to predict the likelihood of starting seagrass biomass at different impact levels (Step 4) and to determine the effect of starting seagrass biomass on the likelihood of more seagrass biomass (Step 5)

Appendix C. Model validation comparing the status (presence or absence) of Zostera muelleri at each of the case study locations predicted by the model with past seagrass distribution maps for Moreton Bay.

Model validation comparing the status (presence or absence) of Zostera muelleri at each of the case study locations predicted by the model with past seagrass distribution maps for Moreton Bay

Map of study locations, ecosystem types, marine reserves, and major estuaries entering central Moreton Bay, Australia.

<p>Habitat layers courtesy Queensland Herbarium.</p

Sensitivity analysis for output node (coral reef condition) to values at all other nodes in the Bayesian belief network.

<p>Nodes with a greater entropy reduction value have a greater influence on the outcome of the output node.</p

Optimising Land-Sea Management for Inshore Coral Reefs - Fig 3

<p>Performance of management actions: (A) likelihood of a change in state when only a single action is implemented); (B) the proportion of outcomes that resulted in positive effects on coral reef condition; (C) the proportion of outcomes that resulted in above median effects on coral reef condition; and (D) the proportion of outcomes that resulted in the highest 5% of positive effects on coral reef condition. See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0164934#pone.0164934.t001" target="_blank">Table 1</a> for full details of each management option.</p

Managers often aim for synergistic effects between multiple interventions to increase 'bang for their buck' (i.e. outcome per dollar spent).

<p>Figure represents all combinations of management actions that resulted in both positive outcomes for coral reef condition, and that resulted in synergistic additions to coral reef condition (i.e. above and beyond the sum of the values of each action). Outcomes are ordered from left to right from lowest to highest modelled state of good reef condition for each number of interventions implemented. Here, the coloured ‘base' effects (green = two interventions, light blue = three interventions, dark blue = four interventions, grey = five interventions) indicates the sum of the individual interventions in isolation, and 'Synergistic Effect' indicates the additional effect of these interventions when combined.</p

Summary of levels and justifications for management node inputs.

<p>Here, Intervention 1 relates to management levels that are likely to be politically and socially agreeable, and Intervention 2 relates to the full levels of management scope and intensity of management interventions that, based on current scientific evidence, are likely to have the greatest benefits. Detailed information on the selection of these levels and the data underlying the chosen percentiles is provided <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0164934#pone.0164934.s001" target="_blank">S1 Appendix</a>.</p