ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014
Drivers of extinction risk in African mammals: the interplay of distribution state, human pressure, conservation response and species biology.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Local scale comparisons of biodiversity as a test for global protected area ecological performance: a meta-analysis.PloS one · 2014Pooled it
- Den site selection by Indian gray wolves in tribal landscapes of Mahuadanr Wolf Sanctuary considering ecological and cultural factors.Scientific reports · 2025Article
- Using comparative extinction risk analysis to prioritize the IUCN Red List reassessments of amphibians.Conservation biology : the journal of the Society for Conservation Biology · 2024Article
- Saving the Last West African Giraffe Population: A Review of Its Conservation Status and Management.Animals : an open access journal from MDPI · 2024Review
- Hunting and persecution drive mammal declines in Iran.Scientific reports · 2022Article
- Article
- Conserving wildlife in a changing world: Understanding capture myopathy-a malignant outcome of stress during capture and translocation.Conservation physiology · 2019Review
- Changes in human footprint drive changes in species extinction risk.Nature communications · 2018Article
- Quantification of habitat fragmentation reveals extinction risk in terrestrial mammals.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Article
- Historical drivers of extinction risk: using past evidence to direct future monitoring.Proceedings. Biological sciences · 2015Article
- Satellite remote sensing, biodiversity research and conservation of the future.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Article
- Article
- Article
- Role of African protected areas in maintaining connectivity for large mammals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although conservation intervention has reversed the decline of some species, our success is outweighed by a much larger number of species moving towards extinction. Extinction risk modelling can identify correlates of risk and species not yet recognized to be threatened. Here, we use machine learning models to identify correlates of extinction risk in African terrestrial mammals using a set of variables belonging to four classes: species distribution state, human pressures, conservation response and species biology. We derived information on distribution state and human pressure from satellite-borne imagery. Variables in all four classes were identified as important predictors of extinction risk, and interactions were observed among variables in different classes (e.g. level of protection, human threats, species distribution ranges). Species biology had a key role in mediating the effect of external variables. The model was 90% accurate in classifying extinction risk status of species, but in a few cases the observed and modelled extinction risk mismatched. Species in this condition might suffer from an incorrect classification of extinction risk (hence require reassessment). An increased availability of satellite imagery combined with improved resolution and classification accuracy of the resulting maps will play a progressively greater role in conservation monitoring.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.