ArticleCommunications biology2022
More than half of data deficient species predicted to be threatened by extinction.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.
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Who cites it
52 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Synthesis of Population Trends Reveals Seascape-Wide Reorganisation of Biodiversity From Microalgae to Birds.Global change biology · 2025Pooled it
- Machine-Learning Models Trained on Genomic Summary Statistics Assess Extinction Risk and Recovery Potential of Bottlenecked Populations.Evolutionary applications · 2026Article
- Identifying hotspots of faunal data deficiency to direct urgent research and monitoring.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Environmental and Evolutionary Correlates of Extinction Risk in a Global Biodiversity Hotspot.Ecology and evolution · 2026Article
- Global patterns and drivers of extinction risk in island endemic terrestrial vertebrates.Science advances · 2026Article
- Uncovering correlates of decline and critical refuges for a threatened terrestrial mammal.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- The entanglement between the IUCN Red List and international biodiversity law.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- The state of knowledge on four families of Syngnathoidei fishes (Teleostei: Syngnathiformes): Aulostomidae, Centriscidae, Fistulariidae and Solenostomidae.Journal of fish biology · 2026Review
- Linking species local trends from assemblage monitoring to global extinction risk.Nature communications · 2026Article
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- Underrepresentation of bats in Africa's protected areas.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
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- Gaps in trait data and conservation impediments from the Raunkiæran shortfall in a megadiverse nation.iScience · 2025Article
- Unstable supply and future shortages of wild forage fish heighten risks to global fed aquaculture production.Nature food · 2025Article
- DNA barcode reference library of bush-crickets (Orthoptera, Tettigoniidae) from the Iberian Peninsula.Scientific reports · 2025Article
- Anthropocene Imperilment of Ancient Diversity and Evolutionary Potential in Terrestrial Vertebrates.Research square · 2025Article
- Drivers of nocturnal and diurnal pollinating insect declines in urban landscapes.Proceedings. Biological sciences · 2025Article
- Extinction Risk Assessment and Conservation of theEcology and evolution · 2025Article
- Threat reduction must be coupled with targeted recovery programmes to conserve global bird diversity.Nature ecology & evolution · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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. Consequently, our predictions indicate that, amongst others, the conservation relevance of biodiversity hotspots in South America may be boosted by up to 20% if DD species were acknowledged. The predicted probabilities for DD species are highly variable across taxa and regions, implying current Red List-derived indices and priorities may be biased.
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