NUMERICAL RESPONSE OF FISHERS TO SYNCHRONOUS PREY DYNAMICS
Bibliographic record
Abstract
Abstract Fisher (Martes pennanti) populations may respond numerically to fluctuating hare populations, although uncertainty remains about this contention. We analyzed livetrapping data from Ontario (448,654 trap nights) that contained trend information for fishers, lagomorphs (snowshoe hares [Lepus americanus] and eastern cottontails [Sylvilagus floridanus]), and North American porcupines (Erethizon dorsatum) for 1995–2004. The data encompassed a synchronous fluctuation of lagomorphs and porcupines. Fisher populations appeared to have a delayed, positive numerical response with a lag of 2 years to changing lagomorph abundance, but they also appeared to switch to an unmeasured, alternate prey during the lagomorph low. This finding suggests that fishers are generalist predators that should have a stabilizing effect on the predator–prey system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.001 | 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 teacher head, 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".