Interspecific competition in bats and diet shifts in response to white‐nose syndrome
Bibliographic record
Abstract
Abstract Since the introduction of white‐nose syndrome ( WNS ) in North America, numerous species of bat have dwindled in numbers. These declines observed are often species‐specific and thus provides opportunity for a natural experiment to test for shifts in diet through relaxed resource partitioning in bat communities post‐introduction of WNS . Acoustic monitoring at locations in Southern Ontario pre‐ (2009–2011) and post‐ WNS (2012–2014) introduction showed an increase in activity of big brown bats ( Eptesicus fuscus ) corresponding to a decline in the activity of little brown bats ( Myotis lucifugus ). Next‐generation sequencing of bat stomachs and guano in Southern Ontario before and after WNS allowed for the characterization of diet changes of these species. Post‐ WNS , E. fuscus consumed a wider breadth of prey and many of the insect species once consumed by M. lucifugus , including several pest insects. These results suggest that the introduction of WNS has resulted in relaxed interspecific competition within these bat communities in Southern Ontario.
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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) | 0.002 | 0.001 |
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".