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Differences in daily mass gain between subordinate species are explained by differences in ecological plasticity

2001· article· en· W973755859 on OpenAlexvenueno aff
Marta Barluenga, Andrés Barbosa, Eulalia Moreno

Bibliographic record

VenueEcoscience · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersCore Research for Evolutional Science and TechnologyMinisterio de Ciencia y Tecnología
KeywordsEcologyBiologyPredationParusCompetition (biology)Temperate climateForageBiomass (ecology)Herbivore

Abstract

fetched live from OpenAlex

During winter, small birds in temperate zones increase their internal fat reserves to combat harsh environmental conditions and the drastic reduction in predictability of resource access. High fat reserves provide some benefits related to starvation-risk reduction, but also imply some costs related to increased predation risk. In general, subordinate species should increase their level of fat reserves in response to the unpredictability of resource access when in competition with dominants. However, the magnitude of such reserve increases could differ between subordinate species if opportunity of access to resources varies interspecifically in relation to differences in niche breadth due to differences in morphology. We tested the hypothesis that subordinate species (Parus cristatus) with decreased access to food will accumulate more fat than subordinate species (Parus ater) with greater opportunities. Results supported the prediction. We found that crested tit, the species with lower ecological plasticity and thus less access to food under competition, stores more fat daily than the coal tit, the species with higher ecological plasticity owing to its abiltiy to forage while upside down.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.233
Teacher spread0.200 · 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

Citations6
Published2001
Admission routes1
Has abstractyes

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