ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015
Towards a general framework for predicting threat status of data-deficient species from phylogenetic, spatial and environmental information.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impacts of wildlife trade on terrestrial biodiversity.Nature ecology & evolution · 2021Pooled it
- Community Science: Big Insights From Small Mammal Data.Ecology and evolution · 2026Article
- Phylogenetically informed predictions outperform predictive equations in real and simulated data.Nature communications · 2025Article
- Multi-response phylogenetic mixed models: concepts and application.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Rodents of Chile: a brief appraisal of their conservation status and ecological significance.ZooKeys · 2025Review
- Effectiveness of South Africa's network of protected areas: Unassessed vascular plants predicted to be threatened using deep neural networks are all located in protected areas.Ecology and evolution · 2024Article
- A global map of species at risk of extinction due to natural hazards.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The predictive power of phylogeny on growth rates in soil bacterial communities.ISME communications · 2023Article
- The EDGE2 protocol: Advancing the prioritisation of Evolutionarily Distinct and Globally Endangered species for practical conservation action.PLoS biology · 2023Article
- Global and regional erosion of mammalian functional diversity across the diel cycle.Science advances · 2022Article
- More than half of data deficient species predicted to be threatened by extinction.Communications biology · 2022Article
- Biological and extrinsic correlates of extinction risk in Chinese lizards.Current zoology · 2022Article
- Automated assessment reveals that the extinction risk of reptiles is widely underestimated across space and phylogeny.PLoS biology · 2022Article
- Diversity and extinction risk are inversely related at a global scale.Ecology letters · 2022Article
- Predictions of primate-parasite coextinction.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
- Clarifying the relationship between body size and extinction risk in amphibians by complete mapping of model space.Proceedings. Biological sciences · 2021Article
- Linking dimensions of data on global marine animal diversity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Phylogenetic and spatial distribution of evolutionary diversification, isolation, and threat in turtles and crocodilians (non-avian archosauromorphs).BMC evolutionary biology · 2020Article
- Spatiophylogenetic modelling of extinction risk reveals evolutionary distinctiveness and brief flowering period as threats in a hotspot plant genus.Proceedings. Biological sciences · 2020Article
- A global assessment of the drivers of threatened terrestrial species richness.Nature communications · 2020Article
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2 authors.
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Abstract
In taxon-wide assessments of threat status many species remain not included owing to lack of data. Here, we present a novel spatial-phylogenetic statistical framework that uses a small set of readily available or derivable characteristics, including phylogenetically imputed body mass and remotely sensed human encroachment, to provide initial baseline predictions of threat status for data-deficient species. Applied to assessed mammal species worldwide, the approach effectively identifies threatened species and predicts the geographical variation in threat. For the 483 data-deficient species, the models predict highly elevated threat, with 69% 'at-risk' species in this set, compared with 22% among assessed species. This results in 331 additional potentially threatened mammals, with elevated conservation importance in rodents, bats and shrews, and countries like Colombia, Sulawesi and the Philippines. These findings demonstrate the future potential for combining phylogenies and remotely sensed data with species distributions to identify species and regions of conservation concern.
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