The influence of clear-cut logging and residual leave material on small mammal populations in aspen-dominated boreal mixedwoods
Bibliographic record
Abstract
We investigated responses of populations of common small mammals to variation in the amount of standing trees and residual woody material retained during logging in aspen-dominated, boreal mixedwood forest in north-central Alberta. Experimentally manipulated levels of residual material, with two replicates per level, were (i) "zero residual": clear-cut and no woody debris (tree tops and limbs); (ii) "low residual": clear-cut and woody debris; (iii) "moderate residual": 10% basal area standing live tree retention, and woody debris; and (iv) "uncut": 100% uncut. Patterns of small mammal abundance were similar throughout the study on uncut and moderate-residual grids, where southern red-backed voles (Clethrionomys gapperi Vigors) and deer mice (Peromyscus maniculatus Wagner) were numerically dominant. In contrast, C. gapperi were virtually absent from the low- and zero-residual grids during the breeding season following logging and occurred at low numbers in the following 2 years. Peromyscus maniculatus were common on low- and zero-residual grids in all years. We found no evidence that rates of reproductive activity and (or) survival in C. gapperi and P. maniculatus were affected by logging treatments. Meadow voles (Microtus pennsylvanicus Ord) were uncommon on uncut and moderate-residual grids throughout the study but were abundant on both low-residual grids and one zero-residual grid, particularly in the second year following logging, when they exhibited irruptive dynamics in midsummer. In sum, relative abundances of common small mammals were most affected by intensive (clear-cut) logging, and our results suggest that the experimental retention of at least 10% basal area on cutovers may reduce some of these effects.
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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 | 0.002 | 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) | 0.000 | 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".