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Record W4407189197 · doi:10.1080/00222933.2025.2454487

Breeding biology of the Andean cock-of-the-rock ( <i>Rupicola peruvianus</i> )

2025· article· en· W4407189197 on OpenAlexaff
Laura Zuleta, David Ocampo, Karolina Fierro‐Calderón, Manuel A. Sánchez‐Martínez, Harold F. Greeney, Santiago David, Gustavo A. Londoño

Bibliographic record

VenueJournal of Natural History · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologyZoology

Abstract

fetched live from OpenAlex

The Andean cock-of-the-rock (Rupicola peruvianus) belongs to the Neotropical family Cotingidae, inhabiting the Andean mountains from Venezuela to Bolivia. Despite being a recognised and iconic species, most breeding studies of this bird have focused on its display behaviour at communal ‘leks’ rather than its basic nesting biology. Here, we present novel data on incubation behaviour and detailed descriptions of nests, eggs, and nestling development, with the first photographic evidence of nestlings being fed with vertebrates. We found 38 cup-shaped nests located along rocky walls near rivers or creeks in Peru, Ecuador, and Colombia. Nests were placed on rocky indentations along rivers, creeks, and waterfalls. The mean clutch size was two eggs. Eggs were beige with brown/green spots mainly located towards the wider end. Eggs measured 46.7 ± 1.2 mm by 32.7 ± 0.3 mm and weighed 25.6 ± 0.9 g. The incubation and nestling period lasted 26.0 ± 1.3 and 40.0 ± 2 days, respectively. During the incubation period, the female was the only parent attending the nest, with an average daily nest attentiveness of 87.3 ± 6.6%. The nestlings grew at a logistic curve rate (K) of 0.135 ± 0.005 g and kept their body temperature constant at 39.3°C only after day 30 of development. Detailed natural history accounts of the nest locations are necessary to generate long-term monitoring and successful conservation strategies of Neotropical species, especially for large frugivorous birds such as R. peruvianus that have long nesting cycles, specific nesting locations and are highly sensitive to forest fragmentation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.224
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 source (direct Gemma or distilled Codex), 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

Citations1
Published2025
Admission routes1
Has abstractyes

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