Chris H. Wilson, T. Trevor Caughlin, David J. Civitello, and S. Luke Flory. 2015. Combining mesocosm and filed experiments to predict invasive plant performance: a hierarchical Bayesian approach. Ecology 96:1084–1092. http://dx.doi.org/10.1890/14-0797.1
Appendix A: Posterior sampling distribution of the ratio of individual and site-level dispersion constants for hierarchical biomass model.
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Appendix B: Simulation test of the gamma-gamma hierarchical biomass model.
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Appendix C: Data on germination of seeds at different light levels and collected from plants grown at different light levels.
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Appendix D: Cross-validated posterior predictive distribution for the gamma-gamma hierarchical biomass model.
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Appendix E: Details on model development, particularly working with the gamma and negative binomial parameterizations in JAGS, plus pseudo-code for generating cross-validated posterior predictions.
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Supplement 1: R script files and data from both the field introduction and the mesocosm experiment to execute the models described in the manuscript and in Appendix E.
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