Published as part of Parsons, Danielle J., Pelletier, Tara A., Wieringa, Jamin G., Duckett, Drew J. & Carstens, Bryan C., 2022, Analysis of biodiversity data suggests that mammal species are hidden in predictable places, pp. 1-7 in Proceedings of the National Academy of Sciences 119 (14) on page 2, DOI: 10.1073/pnas.2103400119, http://zenodo.org/record/6448140

Fig. 1. Predictive modeling workflow. The framework proposed for identifying named mammal species that are likely to contain hidden diversity utilizes barcoding gene sequences and machine learning models built from environmental, geographic, climatic, taxonomic, and life history variables.