ArticleProceedings of the National Academy of Sciences of the United States of America2022
Analysis of biodiversity data suggests that mammal species are hidden in predictable places.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- How many mammal species are there now? Updates and trends in taxonomic, nomenclatural, and geographic knowledge.Journal of mammalogy · 2025Article
- A Computer Vision Method for Finding Mislabelled Specimens Within Natural History Collections.Ecology and evolution · 2025Article
- Integrative species delimitation reveals an Idaho-endemic ground squirrel,Journal of mammalogy · 2025Article
- Article
- Macroecological correlates of Darwinian shortfalls across terrestrial vertebrates.Biology letters · 2024Article
- Identification of non-model mammal species using the MinION DNA sequencer from Oxford Nanopore.PeerJ · 2024Article
- Predicting genetic biodiversity in salamanders using geographic, climatic, and life history traits.PloS one · 2024Article
- The relationship between geographic range size and rates of species diversification.Nature communications · 2023Article
- phylogatR: Phylogeographic data aggregation and repurposing.Molecular ecology resources · 2022Article
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Authors and funding
5 authors.
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Abstract
SignificanceOnly an estimated 1 to 10% of Earth's species have been formally described. This discrepancy between the number of species with a formal taxonomic description and actual number of species (i.e., the Linnean shortfall) hampers research across the biological sciences. To explore whether the Linnean shortfall results from poor taxonomic practice or not enough taxonomic effort, we applied machine-learning techniques to build a predictive model to identify named species that are likely to contain hidden diversity. Results indicate that small-bodied species with large, climatically variable ranges are most likely to contain hidden species. These attributes generally match those identified in the taxonomic literature, indicating that the Linnean shortfall is caused by societal underinvestment in taxonomy rather than poor taxonomic practice.
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