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Record W7128634764 · doi:10.26108/g7cy-6m70

Nutrient dynamics and constraints on the pre-laying exodus of High Arctic northern fulmars

2008· article· en· W7128634764 on OpenAlexaboutno aff
MR Forbes, CD Ankney, RT Alisauskas

Bibliographic record

VenueAcadiaU-DEV · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsArcticNutrientSeabirdRange (aeronautics)Animal sexual behaviourReproductive successIncubation

Abstract

fetched live from OpenAlex

Many aspects of the reproductive ecology of seabirds are linked to the phenology, quantity and accessibility of marine food supplies. In polar regions, annual sea ice constrains these aspects of marine productivity, and thus seabirds breeding at high latitudes may exhibit adaptations to accommodate these constraints. Like most petrels, northern fulmars Fulmarus glacialis undertake an exodus from their breeding colony just before egg-laying. To assess whether this exodus was related to energetic needs and stored nutrient reserves, we studied changes in body mass and composition of male and female fulmars breeding in the Canadian High Arctic, by comparing birds collected just before and just after the pre-laying exodus. Males gained body mass over this period, accumulating water, fat and protein, whereas females lost body mass, particularly protein and fat. Declines in female fat and protein approximated the amounts contributed to eggs, but water and mineral reserves in pre-exodus females appeared insufficient for egg production. We hypothesize that female fulmars leave the colony before egg-laying to meet mineral demands for egg production, possibly focusing on calcium-rich prey. In contrast, we hypothesize that males use a different strategy for resource acquisition and allocation, which seeks to maximize fat and protein accumulation to meet forthcoming incubation demands. Differences in typical marine environmental conditions at breeding colonies across the species’ range probably account for observed behavioral variation in breeding schedules, and may also result in different nutrient dynamics.

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 score0.007
Threshold uncertainty score1.000

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)0.0010.000

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 head0.012
GPT teacher head0.210
Teacher spread0.198 · 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
Published2008
Admission routes1
Has abstractyes

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