Constraints of commercially available seed diversity in restoration: Implications for plant functional diversity

  • Samantha Andres (Creator)

    Dataset

    Description

    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).
    Date made available15 May 2024
    Publisherosf

    UN SDGs

    This dataset contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 15 - Life on Land
      SDG 15 Life on Land

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