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Record W2079813816 · doi:10.1515/mamm.2006.049

Diet of Punjab urial (Ovis vignei punjabiensis) in the Salt Range, Pakistan, and potential competition with domestic sheep and goats / Régime alimentaire de l'urial du Penjab (Ovis vignei punjabiensis) dans le Salt Range (Pakistan): compétition interspécifique potentielle avec les moutons et les chèvres domestiques

2006· article· fr· W2079813816 on OpenAlexaff
Ghulam Ali Awan, Marco Festa‐Bianchet, Michael R. Frisina

Bibliographic record

VenueMammalia · 2006
Typearticle
Languagefr
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsUniversité de Sherbrooke
FundersWWF-Pakistan
KeywordsForbOvisBiologyCynodon dactylonForageLivestockEleusineAnimal scienceAgronomyEcologyFinger milletGrassland

Abstract

fetched live from OpenAlex

Food habits of Punjab urial, domestic sheep and goats in the Salt Range, northern Punjab, Pakistan, were investigated for 2 years to determine the annual diet composition of urial and to assess the potential for competition with livestock. Seasonal trends in utilization of major forage groups were similar between years. Graminoids were the dominant forage in the urial diet, averaging 67%. Cynodon dactylon, Digitaria spp. and Eleusine compressa were the dominant graminoids in its diet. Punjab urial and domestic sheep had very similar diets, dominated by graminoids. Of 23 genera identified in the annual diets of urial and domestic sheep, 74% were used by both species. For urial and domestic sheep the diet overlap index was ≥0.80 for one species of browse, two forbs and three graminoids. Domestic goats, in contrast, showed a marked preference for browse. For urial and domestic goat, the overlap index was ≥0.80 for three browse species, one forb and no graminoids. Browse was <20% in the urial diet during spring and summer, but increased in late winter. All species increased browse consumption in winter. Our results suggest a high potential for competition between urial and domestic sheep. Urial conservation may benefit from a reduction in the number of domestic livestock within its range.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.006
GPT teacher head0.227
Teacher spread0.221 · 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.

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
Published2006
Admission routes1
Has abstractyes

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