Analysis of biodiversity data suggests that mammal species are hidden in predictable places

Danielle Parsons, Tara Pelletier, Jamin Wieringa, Drew Duckett & Bryan Carstens
Research in the biological sciences is hampered by the Linnean shortfall, which describes the number of hidden species that are suspected of existing without formal species description. Using machine learning and species delimitation methods, we built a predictive model that incorporates some 5.0 × 105 data points for 117 species traits, 3.3 × 106 occurrence records, and 9.1 × 105 gene sequences from 4,310 recognized species of mammals. Delimitation results suggest that there are hundreds...
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