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Supplemental Information

Raw data and associated calculated metrics used in all analyses and figures

DOI: 10.7287/peerj.preprints.26442v1/supp-1

Sensitivity of final mariculture opportunity scores to relative zero to one rescaling of individual metrics

Top 10 and bottom 10 countries shown for each choice of scaling. Rescaled (simple) was the final mariculture opportunity result when each country-specific metric was divided by the top-scoring country in that metric. Scaled to 90th [80th] percentile was the final result when each country-specific metric was divided by the 90th [80th] percentile country in that metric, with all countries above that percentile for that metric receiving a score of 1. Overall concordance between the rankings produced by the three scaling choices was high and significant (Kendall’s W 0.925; p<<0.05). 80th percentile scaling was used for all subsequent analyses.

DOI: 10.7287/peerj.preprints.26442v1/supp-2

Results of sensitivity analysis investigating the impact of the exclusion of individual variables on opportunity scores

Numbers represent the mean and standard deviation of the change in economic opportunity, nutritional opportunity, and seafood reliance scores, as well as overall mariculture opportunity score across countries (columns) when the global analysis is re-run without each variable (rows). Blank cells indicate no change (because removing, e.g., trade balance only affects the economic opportunity and final opportunity score, not the nutritional or seafood reliance scores).

DOI: 10.7287/peerj.preprints.26442v1/supp-3

Histograms of country scores for economic opportunity, nutritional opportunity, seafood reliance, and final mariculture opportunity score in the global analysis

Dashed vertical line at score of 0.5 for clarity.

DOI: 10.7287/peerj.preprints.26442v1/supp-4

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Owen R Liu conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Renato Molina conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Margaret Wilson conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Benjamin S Halpern conceived and designed the experiments, wrote the paper, reviewed drafts of the paper.

Funding

This work was supported by an H. William Kuni Research Award through the Bren School of Environmental Science and Management. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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