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Record W2180597727 · doi:10.2980/i1195-6860-12-4-439.1

Has habitat degradation affected foraging behaviour and reproductive success of lesser snow geese (<i>Chen caerulescens caerulescens</i>)?

2005· article· en· W2180597727 on OpenAlexaffvenue
Barbara M. Pezzanite, Robert F. Rockwell, J. Chris Davies, Maarten J. J. E. Loonen, Randolph J. Seguin

Bibliographic record

VenueEcoscience · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsSaskatchewan Disease Control LaboratoryMinistry of Natural Resources and Forestry
Fundersnot available
KeywordsForagingHabitatEcologyMarshGeographySalt marshForestryBiologyWetland

Abstract

fetched live from OpenAlex

ABSTRACT Some individuals respond to habitat degradation by dispersing to less degraded areas while others remain but display altered behaviours, potentially compensating for the habitat change. We examined the latter possibility by evaluating foraging behaviour and size of lesser snow geese over a period during which their habitat became severely degraded. We show that in this now-degraded habitat, adults spend more of their total time in motor activities and less time in vigilance and comfort behaviours. Goslings spend less of their total time foraging and more in comfort and other behaviours. The pecking rate of both adults and goslings while foraging increases, as do motor and searching behaviours of adults. These changes have not enabled the birds to keep pace with the loss of vegetation, and the size of goslings has continued to decline, likely leading to a reduction in reproductive success. The persistent use of degraded salt marsh is probably related to philopatry and will further damage the marsh.

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 score0.020
Threshold uncertainty score0.687

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 studies0.0000.001
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.241
Teacher spread0.226 · 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

Citations10
Published2005
Admission routes2
Has abstractyes

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