Predicting genetic biodiversity in salamanders using geographic, climatic, and life history traits

S2 Table. Comparison of model accuracy confidence intervals between salamander and mammal predictive models. (DOCX) S1 Data. Nucleotide diversity of Caudata sequences from phylogatR. (XLSX) S2 Data. PhylogatR identification numbers (accession_sourceID; see Pelletier et al., 2022 [38]) for records analyzed. (XLSX) S3 Data. Final dataset of response and predictor variables. (XLSX) S4 Data. Variable specifics and source information. (XLSX) S5 Data. Variable importance extended results. (XLSX) S6 Data. Results of search for publicly available genetic and geographic salamander data. (XLSX) S7 Data. Results of literature search for genetic lineages in recognized salamander species. (XLSX) Acknowledgments We thank Radford University Office of Undergraduate Research for supporting AEG through the Accelerated Research Opportunities and Research Rookies programs. We thank members of the Carstens lab for their comments on a draft of this manuscript. Author Contributions Conceptualization: Danielle J. Parsons, Bryan C. Carstens, Tara A. Pelletier. Data curation: Danielle J. Parsons, Abigail E. Green, Bryan C. Carstens, Tara A. Pelletier. Formal analysis: Danielle J. Parsons, Abigail E. Green, Bryan C. Carstens, Tara A. Pelletier. Funding acquisition: Bryan C. Carstens, Tara A. Pelletier. Methodology: Tara A. Pelletier. Project administration: Tara A. Pelletier. Resources: Bryan C. Carstens. Software: Danielle J. Parsons, Abigail E. Green, Tara A. Pelletier. Supervision: Tara A. Pelletier. Validation: Danielle J. Parsons. Visualization: Danielle J. Parsons, Tara A. Pelletier.

Writing – original draft: Danielle J. Parsons, Bryan C. Carstens, Tara A. Pelletier. Writing – review & editing: Danielle J. Parsons, Bryan C. Carstens, Tara A. Pelletier. PLOS ONE Predicting hidden lineages in salamanders PLOS ONE | https://doi.org/10.1371/journal.pone.0310932 October 18, 2024 16 / 20