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Record W4405366747 · doi:10.5751/ace-02769-190228

Seasonality, African Cherry occurrence, and human threats determine the spatial distribution of the endangered restricted range Mount Cameroon Francolin ( Pternistis camerunensis )

2024· article· en· W4405366747 on OpenAlexvenueno aff
Francis Guetse, Jan Riegert, Simon Awafor Tamungang, Taku Awa, Francis Luma Ewome, Francis Njie Motombi, David Hořák

Bibliographic record

VenueAvian Conservation and Ecology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
FundersErasmus+Grantová Agentura České Republiky
KeywordsEndangered speciesGeographyRange (aeronautics)SeasonalityEcologyDistribution (mathematics)Home rangeMountBiologyHabitat

Abstract

fetched live from OpenAlex

The Mount Cameroon Francolin (<em>Pternistis camerunensis</em>) is a globally threatened and range restricted bird, which faces natural and human pressures that may alter its distribution and negatively affect its population size. However, the effects of potential human pressures on the species are poorly understood and there is a lack of basic knowledge on its ecology and distribution, hampering conservation efforts. We investigated the effect of environmental variables (vegetation structure, altitude, dry/wet season, tree cover and loss, abundance of key tree species, human threats) on the occurrence and group size of the Mount Cameroon Francolin in the study area. During July 2016, July 2021, February 2022, and July 2022, we established 240 census points along the middle elevations of Mount Cameroon (800–2500 m a.s.l.) where Francolins are reported. At each point, we conducted a bird census using playback within a radius of 300 m, while we visually assessed vegetation structure within a radius of 50 m around each point. We found that the presence of Francolins significantly increased with increasing abundance of African Cherry (<em>Prunus africana</em>) and decreased with its absence. Secondly, we found that the presence of human threats significantly decreased the percent occupancy by Francolins. Thirdly, Francolin presence was more often during the dry season compared to the wet season. Similar results were obtained when we tested the effect of environmental variables on Francolin group size. Using only the 2022 dataset, we found that Francolin presence and group size were higher at higher elevations, mostly between 1800 and 2200 m a.s.l. This seems to be a habitat optimum for Francolins and based on our data, we estimated its population size there to be 2614 individuals. Group size was further negatively affected by the presence of hunting traps, with Francolins absent from sites where traps were present.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.245
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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