Automated assessment reveals that the extinction risk of reptiles is widely underestimated across space and phylogeny.

ABSTRACT: The Red List of Threatened Species, published by the International Union for Conservation of Nature (IUCN), is a crucial tool for conservation decision-making. However, despite substantial effort, numerous species remain unassessed or have insufficient data available to be assigned a Red List extinction risk category. Moreover, the Red Listing process is subject to various sources of uncertainty and bias. The development of robust automated assessment methods could serve as an efficient and highly useful tool to accelerate the assessment process and offer provisional assessments. Here, we aimed to (1) present a machine learning-based automated extinction risk assessment method that can be used on less known species; (2) offer provisional assessments for all reptiles-the only major tetrapod

SUBMITTER: Caetano GHO 

PROVIDER: S-EPMC9135251 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature