CSIRO PUBLISHING International Journal of Wildland Fire, 2007, 16, 728–740 www.publish.csiro.au/journals/ijwf Small mammal communities in a pyrogenic habitat mosaic
Bibliographic record
Abstract
Abstract. We studied the small mammal community across a mosaic of habitats created by a large wildfire in the mixed-wood boreal forest of Alberta, Canada, 5 years after the fire occurred. We focussed on four habitat types within this landscape mosaic, namely burnt stands, stands of unburnt forest within the burn, unburnt forest on the periphery of the fire, and areas harvested before the fire (and subsequently burnt). The abundance of the two most common species – red-backed voles (Clethrionomys gapperi) and deer mice (Peromyscus maniculatus) – often differed inside v. outside the burn’s perimeter; however, reproduction, survival and abundance showed little to no correlation with habitat. Year-to-year changes in the relative abundance of these two species appeared greater within the burn’s periphery; the heterogeneity of the burnt landscape also supported a higher diversity of small mammal species than seen at the periphery. Comparison of our results with those collected by a coincidental study of forest harvesting suggests that the responses of the communities and populations of the animals to the two disturbance types were relatively similar. The value of long-term and chronosequence studies notwithstanding, detailed study of the wildlife communities shaped by individual wildfires improves our overall understanding of the ecological effects of natural and anthropogenic disturbances.
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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 | 0.001 |
| 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 | 0.001 |
| 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".