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. http://dx.doi.org/10.1890/14-0797.1


Supplement

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.

Copyright


Authors
File list (downloads)
Description


Author(s)

Chris H. Wilson
School of Natural Resources and Environment
University of Florida
Gainesville, Florida 32611 USA
chwilson@ufl.edu

T. Trevor Caughlin
Department of Biology
University of Florida
Gainesville, Florida 32611 USA
trevor.caughlin@gmail.com

David J. Civitello
Department of Integrative Biology
University of South Florida
Tampa, Florida 33620 USA
civitello@usf.edu

S. Luke Florida
Agronomy Department
University of Florida
Gainesville, Florida 32611 USA
flory@ufl.edu


File list

Gamma_Negbin_Fecund.R (MD5: 7cd8437e8cd555f777499ef6e3bc279e) -- # R code for fecundity predictions

NegBinFecund.R (MD5: fd282a2e324e20d7529bf51d2d2e14ef) -- # R code for seed model

Gamma_Biomass.R (MD5: 5926e4126625a807b86ebf3b48aa1b93) -- # R code for biomass model

generalBAYESIANcode.R (MD5: bce9894d372872da18a3ee5305f571f5) -- # R code for functions used in above code

garden.csv (MD5: 19d443db46af62e515e38ad07d8ee499) -- # Field introduction data

light_exp_seed.csv (MD5: ac8be1d03af3befc0e1f32e8c5311af8) -- # Mesocosm data

Description

These files are provided to assist in reproduction of our modeling results using the statistical package R. The first supplement (Gamma_Negbin_Fecund) contains R code that jointly samples from the two data sets (garden.csv and light_exp_seed.csv) in order to create predictions of plant fecundity in the field. The hierarchical biomass model (Gamma_Biomass.R) and the seed production model (NegBinFecund.R) are also included separately.