Marine reserve targets to sustain and rebuild unregulated fisheries

This upload contains data analysed in Krueck NC, Ahmadia GN, Possingham HP, Riginos C, Treml EA, Mumby PJ (2017) Marine reserve targets to sustain and rebuild unregulated fisheries. PLoS Biology 15(1): e2000537. The zip folder "Generic" contains data used to analyse reserve impacts on fisheries as described for generic scenarios in the Materials and Methods section and as presented in Fig. 1 and Fig. 2. Results are stored in subfolders that specify modelling assumptions as defined in S3 Table. File names specify the assumed fishing pressure as defined in S3 Table. Each file contains a three-dimensional data matrix in MATLAB format (“dat.mat”), giving in the first dimension (rows #1-4) fishery catch relative to the maximum sustainable yield (row #1), total fish biomass relative to the maximum possible total fish biomass (row #2), fish biomass in reserves relative to the maximum possible fish biomass in reserves (row #3), and fish biomass in fished areas relative to the maximum possible fish biomass in fished areas (row #4). The second dimension (columns #1-101) gives results for increasing levels of reserve coverage (increments of 1%), ranging from no protection (column #1: open fishing ground, 0% reserve coverage) to full protection (column #101: 100% reserve coverage). The third dimension (#1-175) separates results for all simulated, taxon-specific rates of natural adult mortality and growth. More detailed information on mortality rates and growth coefficients of each simulated taxon (including species id, name, family, location of data collection, estimate of natural mortality rate, and estimate of growth coefficient) are available from the Excel spreadsheet "speciesInformation_Pauly1980_icesjms39.2.175.xlsx". The zip folder "Keppels" contains all data used to analyse reserve impacts on fisheries as described in the Materials and Methods section for the Keppel islands scenarios and as presented in Fig. 1 and Fig. 2 (K scenarios). The data are stored in subfolders that specify modelling assumptions as defined in S3 Table. File names specify the assumed fishing pressure as defined in S3 Table. Data matrices were saved in MATLAB format (“dat.mat”), specifying fishery catch relative to the maximum sustainable yield. Columns #1-101 give results for increasing levels of reserve coverage (increments of 1%), ranging from no protection (column #1: open fishing ground) to full protection (column #101: 100% reserve coverage)