SynthesisPeerJ2022
Trends and biases in African large carnivore population assessments: identifying priorities and opportunities from a systematic review of two decades of research.
Synthesis in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Seasonal Dynamics of Resource Availability and Human Presence Shape Habitat Use of Large Carnivores in Chad.Ecology and evolution · 2026Article
- A Novel Record of Brown Hyaena (Ecology and evolution · 2025Article
- Detection Dog Survey Detects African Wild Dog Presence and a Shared Marking Site.Ecology and evolution · 2025Article
- Pan-African review of cultural uses of carnivores.PloS one · 2025Review
- Long-term data reveal fitness costs of anthropogenic prey depletion for a subordinate competitor, the African wild dog (Ecology and evolution · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
African large carnivores have undergone significant range and population declines over recent decades. Although conservation planning and the management of threatened species requires accurate assessments of population status and monitoring of trends, there is evidence that biodiversity monitoring may not be evenly distributed or occurring where most needed. Here, we provide the first systematic review of African large carnivore population assessments published over the last two decades (2000-2020), to investigate trends in research effort and identify knowledge gaps. We used generalised linear models (GLMs) and generalised linear mixed models (GLMMs) to identify taxonomic and geographical biases, and investigated biases associated with land use type and author nationality. Research effort was significantly biased towards lion (
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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.