We used multiview embedding, a form of empirical dynamic modelling. Rather than define mechanistic models, the approach translates time series of data into a path through a multi-dimensional space, whose axes are lagged values of the variables. We modelled each stock separately, and included various relevant environmental covariates. These were sea-surface temperature, Pink Salmon abundance in the North Pacific, Fraser River discharge, zooplankton in the Strait of Georgia, the Pacific Decadal Oscillation, and the North Pacific Current Bifurcation index. All code is available at https://github.com/andrew-edwards/sockeyePrize, though is not easily usable by anyone else at the moment and there are various improvements we would make. Most of the covariates were taken from our pacea R package. References for background: Edwards A.M, Rogers L.A., and Holt C.A. (2024). Explaining empirical dynamic modelling using verbal, graphical and mathematical approaches. Ecology and Evolution, 14:e10903, 1-12. https://doi.org/10.1002/ece3.10903 Edwards A.M., Tai T.C., Watson J., Peña M.A., Hilborn A., Hannah C.G., Rooper C.N., Flynn K.L., and Oldford, G.L. (2024). pacea: An R package of Pacific ecosystem information to help facilitate an ecosystem approach to fisheries management. https://github.com/pbs-assess/pacea Ye H., and Sugihara, G. (2016). Information leverage in interconnected ecosystems: overcoming the curse of dimensionality. Science, 353:922-925. https://doi.org/10.1126/science.aag0863.

See above. All our results are saved as .pdf files, but are not really written in a concise way that would be easily understandable by others. There is also one .pdf file (generated from R Markdown files available in our GitHub site) for each stock. We used previously published methods and our two public R packages (pacea and pbsEDM). Our work is fully reproducible and traceable, just not easily run by others at the moment. Doing retrospectives would be prohibitively difficult with our current set up. We aim to refine our methods for next year.