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

The zip file contains the data and R markdown script to generate all the figures in the publication “Five years of offsetting native vegetation: risks, uncertainties and challenges for achieving no-net-loss"<br><br>Pre-processing of the Biodiversity Offsets Assessment Management System<br>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).<br><br>To generate the figures in the paper, please execute the file R markdown file: plot_figures_bamvi_ms1.Rmd<br><br><br>References<br>R Core Team (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org<br><br>

本压缩包包含用于生成学术论文《原生植被补偿五年：实现零净损失（"Five years of offsetting native vegetation: risks, uncertainties and challenges for achieving no-net-loss"）》中全部图表所需的数据与R Markdown脚本。

针对生物多样性补偿评估管理系统（Biodiversity Offsets Assessment Management System）数据集的预处理、VI与生态系统信用额度的BAM计算、敏感性分析以及补偿面积比模拟，均通过R语言（R Core Team, 2024）完成。本压缩包包含本次分析生成的结果数据，以及用于生成论文图表的R代码。本数据集已完成去标识化处理：原始评估、分区与样地标识符均已替换，位置数据已移除。更多细节详见补充材料S3节。

若需生成论文中的图表，请运行R Markdown文件plot_figures_bamvi_ms1.Rmd。

参考文献：
R Core Team（2023。R：用于统计计算的语言与环境。奥地利维也纳统计计算R基金会，https://www.R-project.org。