Data

Data and scripts for publication "Five years of offsetting native vegetation: risks, uncertainties and challenges for achieving no-net-loss"

RMIT University, Australia
Alva Curtsdotter (Aggregated by) Ascelin Gordon (Aggregated by) Josh Dorrough (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25439/rmt.29036975.v2&rft.title=Data and scripts for publication Five years of offsetting native vegetation: risks, uncertainties and challenges for achieving no-net-loss&rft.identifier=https://doi.org/10.25439/rmt.29036975.v2&rft.publisher=RMIT University, Australia&rft.description=The zip file contains the data and R markdown script to generate all the figures in the publication “Five years of offsetting native vegetation: the challenge of achieving no-net-loss published in Ecological Indicators.Pre-processing of the Biodiversity Offsets Assessment Management Systemdata set, the BAM calculations of VI and ecosystem credits along with the sensitivity analysis and offset area ratio simulation were undertaken in R (R Core Team, 2024). The zip file contains the resulting data from this analysis, together with the R code to generate the figures the manuscript. The resulting dataset has been de-identified, such that original assessment, zone, and plot identifiers have been replaced and location data removed. For more details see the Supplementary Information (Section S3).To generate the figures in the paper, please execute the file R markdown file: plot_figures_bamvi_ms1.Rmd and see the file README.txt for more details on running the code. The easiest way to run the file is in RStudio. ReferencesR Core Team (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org&rft.creator=Alva Curtsdotter&rft.creator=Ascelin Gordon&rft.creator=Josh Dorrough&rft.date=2025&rft_rights=CC-BY-4.0&rft_subject=biodiversity metric&rft_subject=biodiversity offset scheme&rft_subject=biodiversity offsetting&rft_subject=ecological restoration standard&rft_subject=nature positive&rft_subject=biodiversity offset&rft.type=dataset&rft.language=English Access the data

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The zip file contains the data and R markdown script to generate all the figures in the publication “Five years of offsetting native vegetation: the challenge of achieving no-net-loss" published in Ecological Indicators.

Pre-processing of the Biodiversity Offsets Assessment Management System
data set, the BAM calculations of VI and ecosystem credits along with the sensitivity analysis and offset area ratio simulation were undertaken in R (R Core Team, 2024). The zip file contains the resulting data from this analysis, together with the R code to generate the figures the manuscript. The resulting dataset has been de-identified, such that original assessment, zone, and plot identifiers have been replaced and location data removed. For more details see the Supplementary Information (Section S3).

To generate the figures in the paper, please execute the file R markdown file: plot_figures_bamvi_ms1.Rmd and see the file README.txt for more details on running the code. The easiest way to run the file is in RStudio.


References
R Core Team (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org

Issued: 2025-05-12

Created: 2025-08-19

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