INDIRECT EFFECTS OF LOW AMPLITUDE ARVICOLINE CYCLES ON DAILY NEST SURVIVAL OF DUNLIN (CALIDRIS ALPINA HUDSONIA) IN A RAPIDLY CHANGING CLIMATE
Bibliographic record
Abstract
The Alternative Prey Hypothesis (APH) states that predators switch to relatively more abundant\nprey when their main prey is scarce. Arctic lemming population cycles may indirectly affect\npredation risk on alternative prey such as shorebird nests as they share predators. I examined the\nindirect effects of arvicoline rodent cycles on Dunlin (Calidris alpina hudsonia) reproduction in\nChurchill, Manitoba. Using 10 years of field data, the study suggests collared lemming\n(Dicrostonyx richardsoni) cycles did not influence Dunlin nest success. Meadow vole (Microtus\npennsylvanicus) cycles had an interactive effect with arctic fox (Vulpes lagopus) and red fox\n(Vulpes vulpes) abundance, indirectly affecting Dunlin nest success. North Atlantic Oscillations\nhad a positive effect on Dunlin nest success. The results suggest that subarctic ecosystems are\nmore complex than the High Arctic with multispecies trophic dynamics that can be used to\npredict the changing landscapes of the Arctic as the boreal forest expands northwards.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".