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Record W4254113223 · doi:10.1093/auk/121.1.210

Dynamics of Foraging Behavior Associated With Variation in Habitat and Forage Availability in Captive Black Brant (Branta Bernicla Nigricans) Goslings in Alaska

2004· article· en· W4254113223 on OpenAlexaboutno aff
Mark P. Herzog, James S. Sedinger

Bibliographic record

VenueThe Auk · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsnot available
Fundersnot available
KeywordsGrazingHabitatBiologyBrantaForagingEcologyBiomass (ecology)LawnStanding cropFisheryGoose

Abstract

fetched live from OpenAlex

Abstract We conducted an experiment to study the effect of gosling density on food abundance and feeding behavior of Black Brant (Branta bernicla) goslings in two habitat types important to Black Brant on the Yukon-Kuskokwim Delta, Alaska: (1) Carex subspathacea grazing lawns and (2) slough levees that contain Triglochin palustris. Within each habitat, we manipulated grazing pressure by allowing goslings to graze specific plots every 6, 9, or 12 days. We randomly assigned six goslings to one of six treatment groups (three grazing frequencies × two habitats). Biomass of C. subspathacea was higher in lightly grazed plots (grazed every 12 days) than in the heavily grazed plots (grazed every 6 days). Offtake in C. subspathacea was also greater in the lightly grazed plots. Within C. subspathacea stands, proportion of time spent feeding varied among grazing intensities. Goslings within heavily grazed plots spent more time feeding than goslings in lightly grazed plots. Within slough levee habitat, there were no differences between heavily and lightly grazed plots in either biomass or offtake of T. palustris. Whereas overall percentage of time feeding did not vary between the two habitats, percentage of time feeding declined as gosling mass increased in all treatments and habitats. Although the trend in peck rate over time varied among treatments and between habitats, during trials very early in the season we observed a reduced peck rate in the heavily grazed treatment, but only within the C. subspathacea grazing lawns. There was no variation in peck rate among treatments within slough levee habitat; however, peck rates for goslings fed on C. subspathacea was double the rate of goslings in slough levee. Thus, the varied growth responses of plants between habitats to variation in grazing pressure that we observed during this experiment suggest the importance of density-dependent effects on brood-rearing habitat and the resulting variation in gosling growth.

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)0.001
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 score0.067
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

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