Description: Data and code used to generate all major analyses in a continental study on the effects of seed availability in commercial markets on the restoration of functionally diverse species assemblages for use in restoration plantings.

Woodlands have been used as a model vegetation type when "running analyses" to generated simulated planting assemblages and compute functional dispersion across planting assemblages of varying species richness in the seed_available pool (constrained by market availability) versus the total species pool (seed_available + not_available). Woodlands have also been included as a model vegetation type when generating trait-infortmed species selection methods to maximise functional dispersion within the pool of market-available seed.

Modifications to the users directory may be required when running code to generate these analyses. A nested structure was used such as:

"Data/Info_and_outputs/Woodlands/sensitivity_output"

*Woodlands->folder containing R.Data simulation files of outputs for both species pools and richness levels

*sensitivity_output->folder containing the R.Data file of simulated planting assemblages generated using the trait-informed species selection approach

Data consists of two primary datasets

full_dataset_clean.csv

-consists of plant taxa "taxon_name", and their associated traits ("plant_height", "seed_mass", and "leaf_mass_per_area" grouped into vegetation assemblages "veg_group" based on seed availability "seed_available"

Fdis_output.csv

-consists of the output of functional dispersion "FDis" associated with 1,000 random simulations across each vegetation group "veg_type", species richness level "pool", and species assemblage scenario "study" (seed available vs. Total).