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Record W7135525705

Predator-prey interactions and alternative prey hypothesis - a comparative insight from the Arctic

2025· dissertation· en· W7135525705 on OpenAlexaboutno aff
Anna Marie Borková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2025
Typedissertation
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticPredationArctic ecologyPopulationThe arcticPopulation cycle
DOInot available

Abstract

fetched live from OpenAlex

Predator-prey interactions have changed substantially in recent decades, with vast consequences for entire Arctic ecosystem. Lemmings and voles represent the primary food source for predators in the Arctic, but they have vanished from many regions recently, with poorly understood implications for the remaining organisms. There are several local pieces of evidence that shorebird nests serve as alternative prey for Arctic predators during the lack of Arctic rodents, but a comparative perspective has been so far lacking. Therefore, I compile a comparative look at the issue, summarizing the existing knowledge on the alternative prey hypothesis and its effect on shorebirds as common alternative prey in the Arctic. The alternative prey hypothesis seems to be supported more in the Russian Arctic than in the Canadian Arctic and the support for the hypothesis was probably stronger before year 2000 than after, possibly connected with disrupted cycles of Arctic rodent populations. Not well functioning alternative prey hypothesis could contribute to recently observed population declines of Arctic shorebirds. However, the higher abundances and functional cyclicity of Arctic rodents are again reappearing at some Arctic locations and the whole issue requires more detailed meta-analytical investigation. Diverse, mostly...

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.265
Teacher spread0.246 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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