SALMON_set_parameters.m (12.1 kB)View fileThis item contains files with download restrictions
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SALMON_wild_graph.m (0.78 kB)View fileThis item contains files with download restrictions
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Entiat_boot.txt (2.14 MB)View fileThis item contains files with download restrictions
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Methow_boot.txt (1.81 MB)View fileThis item contains files with download restrictions
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SalmonML.prg (21.63 kB)View fileThis item contains files with download restrictions
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SalmonRawSpawners.txt (0.79 kB)View fileThis item contains files with download restrictions
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SalmonWildSpawners.txt (1.15 kB)View fileThis item contains files with download restrictions
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WatershedAttributesAndRanks.txt (9.28 kB)View fileThis item contains files with download restrictions
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WatershedAttributes.txt (24.71 kB)View fileThis item contains files with download restrictions
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Wenatchee_boot.txt (3.4 MB)View fileThis item contains files with download restrictions
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SALMON_save.m (0.3 kB)View fileThis item contains files with download restrictions
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SALMON_raw_graph.m (0.78 kB)View fileThis item contains files with download restrictions
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SALMON_pva_graph_Ricker.m (1.93 kB)View fileThis item contains files with download restrictions
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SALMON.m (15.56 kB)View fileThis item contains files with download restrictions
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SALMON_BH_graphs.m (5.55 kB)View fileThis item contains files with download restrictions
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SALMON_concentrations.m (1.69 kB)View fileThis item contains files with download restrictions
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SALMON_ext_probs_fast.m (1.13 kB)View fileThis item contains files with download restrictions
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SALMON_forecast.m (3.09 kB)View fileThis item contains files with download restrictions
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SALMON_forecast_Ricker.m (3.11 kB)View fileThis item contains files with download restrictions
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Supplement 1. Matlab code to run the simulation/site-selection model and GAUSS code to estimate the stock–recruitment parameters, plus all input files.
To reproduce the main results given in the paper, copy all files in the list above to the same folder. Then use Matlab to run SALMON.m, from that folder, which will call the other Matlab subroutines (.m files) and input files (.txt files) as needed. Most of the input parameters can be found in SALMON_set_parameters.m, so that file can be modified to conduct further sensitivity analyses.
To re-estimate the stock-recruitment parameters, use GAUSS to run SalmonML.prg.