Project title: Knowledge integration and Management Strategy Evaluation modelling
Program: Kimberley Marine Research Program

Modelling the future of the Kimberley region

EwE visualisation

In this work, we followed the guidelines suggested in [1] to visualise the EwE results. In a few words, these guidelines suggest to

• maximise the amount of information included in a figure, rather than oversimplifying it and
• avoid information overload by adopting a minimalistic design. In particular we adopt three types of visualisations including time series, barplots and boxplots as described in the table below

Visualisation type	Example	How to read it
Time series of a single indicator/species for a specific scenario		Evolution of a variable over time. Rather than including a Y axis to show the value of the time series, only the minimum (white dot), maximum (dark dot) and last value are shown. The grey ribbon shows the interval containing 50% of the time series values. It helps focussing on the core feature of the time series by removing most details of minor significance.
Time series of a one or more indicator/species showing mean and standard deviation over all scenarios		At each point in the X axis, it shows the mean (black line) and the standard deviation (ribbon) of the distribution of time series.
Violin plot: state of an indicator/species at the end of the simulation (2050) for all scenarios		Distribution of values of a variable. It is similar to a box plot, except that it gives an indication of the probability density of the data at different values. For each point on the X axis, it shows the probability of value occurring in the distribution
Bar plot of states of an indicator/species at the end of the simulation (2050) for a specific scenario		Rate of change of variable (e.g., biomass at the end of a simulation), relative to a reference baseline, as (biomass-baseline)/baseline. Positive (negative) values mean the variable increased (decreased). We use two different colour sets: Scenarios: the baseline is the value at the variable at the beginning of the simulation. The white bar refers to the dry climate and the black bar to the wet. Strategies: the baseline is the value at the variable at the beginning of the simulation (light brown) or value at the variable at the end of the simulation without management strategy (dark purple).