Differential responses of <i>Clethrionomys</i> species to forest disturbance in Europe and North America
Bibliographic record
Abstract
In Holarctic forests, newly disturbed areas constantly appear as the result of clear-cutting and burning. Rodent communities in mature forests of Europe and North America are comparable, being dominated by a Clethrionomys species: Clethrionomys glareolus in Europe and Clethrionomys gapperi in America. In disturbed areas, however, they differ considerably, as C. glareolus persists on clearcuts in the Palearctic region, while in the Nearctic region, C. gapperi is replaced by Peromyscus species. Meta-analysis was applied to published data to summarize inter continenal differences. The aim of this paper is to explain why C. gapperi is not as successful as C. glareolus in colonizing disturbed areas, and to support one (or more) of the following hypotheses: (i) Peromyscus species are more suited to colonizing disturbed areas than other rodents; thus, the absence of Peromyscus species in Europe leaves the disturbed habitats free for C. glareolus; (ii) C. glareolus is more of a generalist and therefore better adapted for resettling such areas than C. gapperi; (iii) the long historical period of human management of forests has affected the niches of rodents, and thus their ability to colonize disturbed areas. The data analyzed indicate that the second hypothesis best explains the ultimate cause, while the third presents a probable proximate cause of the stated difference.
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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 | 0.001 |
| 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 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".