CORDIS Project
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This project aims to assess the extinction risk of freshwater species, particularly focusing on the Hydrobiidae family. By utilizing machine learning and high-throughput sequencing, it seeks to identify predictors of extinction risk and improve conservation strategies.
Accurate assessments of species’ contemporaneous extinction risk (CER) are vital to quantifying the current biodiversity crisis and prioritising conservation efforts.
However, the most comprehensive global dataset of CER - the IUCN Red List of Threatened Species - is taxonomically biased due to the lengthy assessment process, leaving understudied taxa, such as those in freshwaters, under no formal PROTECTion.
Prediction-based models based on novel machine learning methods enable large-scale auto…
AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
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