Analysis of biodiversity data suggests that mammal species are hidden in predictable places.
Proc Natl Acad Sci U S A
; 119(14): e2103400119, 2022 04 05.
Article
em En
| MEDLINE
| ID: mdl-35344422
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.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Biodiversidade
/
Mamíferos
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Animals
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article