A framework to apply trait‐based ecological restoration at large scales

The authors declare no conflict of interest. The R-script and data used to illustrate the application of the framework is available from the Zenodo Data Repository https://doi.org/10.5281/zenodo.7948594 (Coutinho et al., 2023). Figure S1. Cost in US dollars to restore 1 ha of Brazilian savanna as a function of species richness of simulated communities that contains only species available in the market, using the proposed framework. High functional diversity (FD) and low dissimilarity: simulated communities that are fire-resistant and have high FD and low functional dissimilarity to the reference sites. Scenario 2: simulated communities that are fire-resistant and have FD and composition similar to the reference sites. Table S1. The proposed framework for species selection in restoration projects relies on data with a certain level of taxonomic resolution. In cases where species-level information was missing, imputation was performed by replacing the missing values with average values at the genus or family level. The following percentages represent the availability of trait data at each taxonomic level. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.