Biodiversité
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More than half of data deficient species predicted to be threatened by extinction - Communications Biology

More than half of data deficient species predicted to be threatened by extinction - Communications Biology | Biodiversité | Scoop.it

The IUCN Red List of Threatened Species is essential for practical and theoretical efforts to protect biodiversity. However, species classified as “Data Deficient” (DD) regularly mislead practitioners due to their uncertain extinction risk. Here we present machine learning-derived probabilities of being threatened by extinction for 7699 DD species, comprising 17% of the entire IUCN spatial datasets. Our predictions suggest that DD species as a group may in fact be more threatened than data-sufficient species. We found that 85% of DD amphibians are likely to be threatened by extinction, as well as more than half of DD species in many other taxonomic groups, such as mammals and reptiles.

DocBiodiv's insight:

Borgelt, J., Dorber, M., Høiberg, M.A. et al. More than half of data deficient species predicted to be threatened by extinction. Commun Biol 5, 679 (2022). https://doi.org/10.1038/s42003-022-03638-9

via @Shoal_Org @david_tickner @CommsBio

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How much do we know about the life history of the world's vertebrates? Dr. Dalia Conde from Species360 has an answer - Department of Zoology

We are currently experiencing an exciting moment in conservation, according to Dr. Dalia Conde, Director of Science at Species360 and Associate Professor of the University of Southern Denmark. In her seminar lecture entitled “Mapping Information Gaps: Towards an Index of Knowledge for Every Vertebrate Species”, Dr. Conde described the unique opportunity that we currently have to capitalize on machine learning technology and big data tools to create an interconnected and standardized knowledge system on the life history of the world’s biodiversity. Dr. Conde explained how, in her view, biodiversity data resembles the universe: it is ever expanding and becoming infinite thanks to mixed forms of data collection, from field based research and captive population studies, to citizen science, or genome coding. However, all the effort that we are putting into producing large quantities of data on species life histories can become futile if we are unable to transform basic data into interconnected knowledge that can be used for conservation decision making.
DocBiodiv's insight:
Alors que le Salon Big Data vient d'ouvrir à Paris, une gestion des données, de l'Intelligence artificielle au profit de la conservation de la biodiversité est de plus en plus évoquée par les chercheurs.
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