Diets of Northern Flying Squirrels, Glaucomys sabrinus, in southeast Alaska
Bibliographic record
Abstract
We examined the diet of the Northern Flying Squirrel (Glaucomys sabrinus) during summer and autumn seasons in temperate rain-forest habitat of Southeast Alaska, a region in which the ecology of this species is poorly understood.Truffles, a food item that is commonly consumed by squirrels during snow-free periods outside of Alaska, were present less frequently in squirrel feces than two other food items, epigeous fungi and vegetation, although no food item dominated fecal composition.Truffles were less frequent in fecal samples from mixed-conifer muskeg habitats than from old-growth forest habitats.Overall, we found that squirrels consumed a total of five truffle genera; Elaphomyces and Hymenogaster being the most common.Compared to populations in the western contiguous United States, squirrel populations in Southeast Alaska consumed truffles less frequently and consumed a smaller total number of truffle genera.In addition, samples from individual squirrels in Alaska tended to contain fewer genera than samples from the contiguous United States.Finally, squirrels in Alaska consumed other food items such as vascular vegetation, lichens, and mushrooms more frequently than squirrels in other geographic areas.These patterns suggest that the association between flying squirrels and truffles may be relatively weaker in Southeast Alaska than has been documented elsewhere.Consequently, additional information on life history and ecology of flying squirrels is warranted before forest management guidelines can be developed.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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; both teacher heads agree on what is shown here.
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".