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B. Appendix,

. S1-table, List of Moorea's districts and corresponding dependency on marine resource

, Outputs of the AHP ranking exercise. Code for columns A-O is criteria_subcriteria

, The file can be downloaded at the following link

, AHP) decision-making methodology and enables to measure the importance of sub-criteria weights in fishers' fishing ground selection. These results show that despite shared components/aspects (sensitivity and general adaptive capacity), very low (not statistically significant) correlation between different aggregated vulnerabilities was measured (Fig S2), S1 File. Survey questionnaire used to quantify fishers' preference for fishing grounds. The ranking exercise is based on the Analytic Hierarchy Process

, Exposure is sector-specific and changes with emission scenarios, dependency is only sector-specific and adaptive capacity is the same across sectors and scenarios

, Variables ordered by dimensions (that is, exposure, dependency, and adaptability) and not hierarchical clusters, displaying values for significant correlations only (P < 0.05). agrE.26, agrE.45 and agrE.85, agriculture exposure according to RCP 2.6, RCP 4.5 and RCP 8.5 emission scenarios, respectively; fshE.26, fshE.45 and fshE.85, fisheries exposure according to RCP 2.6, RCP 4.5 and RCP 8.5 emission scenarios, respectively; agrD.e, agrD.j and agrD.f, dependency on agriculture for economy, job and food, respectively; fshD.e, fshD.j and fshD.f, dependency on marine fisheries for economy, Spearman rank correlations amongst vulnerability indicators, vol.2

. Ac and . Eco,