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Poaching, recruitment and conservation of Punjab urial Ovis vignei punjabiensis

2006· article· en· W2148374873 on OpenAlexaff
Ghulam Ali Awan, Marco Festa‐Bianchet, Tahira Ahmad

Bibliographic record

VenueWildlife Biology · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsUniversité de Sherbrooke
FundersWWF-Pakistan
KeywordsPoachingEndangered speciesOvisPopulationPopulation densityBiologyVeterinary medicineAnimal scienceFisheryGeographyHabitatEcologyWildlifeEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Poaching can accelerate extinction processes, particularly when driven by commercial gain. We studied Punjab urial Ovis vignei punjabiensis, an endangered wild sheep, in two areas of the Salt Range in Pakistan, with contrasting human population densities and management regimes. In the Eastern Salt Range (ESR), humans live adjacent to urial habitat and enforcement of antipoaching regulations is lax. In the Kalabagh Game Reserve (KGR), human population density is low and regulations are strictly enforced. In ESR, about a quarter of the lamb crop was removed by poachers, and all rams > 6 years old were eliminated by illegal shooting. In KGR, < 5% of lambs were removed and about 34% of adult rams were ≥ 6 years old. Yearly recruitment was only four yearling females per 100 ewes in ESR, compared to about 13 yearling females per 100 ewes in KGR. Recruitment was insufficient to maintain the population in ESR. Poaching of newborn lambs to be kept as pets appears to be the greatest short-term threat to Punjab urial, recently exacerbated by the granting of licences to legally possess pet urial. Over the long term, the increasing human population in the area presents additional challenges.

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 score0.055
Threshold uncertainty score0.476

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 studies0.0000.000
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 head0.020
GPT teacher head0.245
Teacher spread0.225 · 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

Citations16
Published2006
Admission routes1
Has abstractyes

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