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 96:10841092.


Appendix A: Posterior sampling distribution of the ratio of individual and site-level dispersion constants for hierarchical biomass model.
Ecological Archives E096-096-A1.

Appendix B: Simulation test of the gamma-gamma hierarchical biomass model.
Ecological Archives E096-096-A2.

Appendix C: Data on germination of seeds at different light levels and collected from plants grown at different light levels.
Ecological Archives E096-096-A3.

Appendix D: Cross-validated posterior predictive distribution for the gamma-gamma hierarchical biomass model.
Ecological Archives E096-096-A4.

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.
Ecological Archives E096-096-A5.


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.
Ecological Archives E096-096-S1.