The Effects of Forest Harvesting on Small Mammals in Western Newfoundland and its Significance to Marten
Why this work is in the frame
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Bibliographic record
Abstract
The depauperate fauna of Newfoundland provides a limited prey base for marten. Only two small mammal prey species, Microtus pennsylvanicus and Sorex cinereus, were found in any abundance in the old-growth forests of the study area. Of these two, Microtus displayed population fluctuations typical of most microtines. Analysis of marten scats indicated that Microtus is a very important prey item to the marten with other food. items being of lesser importance particularly when Microtus are abundant. Trapping in various habitats indicated that Sorex densities were three to five times higher in logged areas compared to uncut areas. Unfortunately, the effects of logging on Microtus could not be determined directly from this study. Microtus numbers declined drastically in the spring of 1987, apparently independently of logging operations. Microtus numbers dropped from a density of 25.0 per hectare in the spring of 1986 to virtually zero in the spring of 1987. This reduction may be linked to an outbreak of viral encephalitus in the marten population in the fall of 1986. Marten (Martes arnericana) prefer mature coniferous and mixed forests and utilize regenerating cutovers minimally. The reasons for this are unclear, although prey abundance and availability may be involved. In this study, Sorex were more abundance in regenerating cutovers and the literature suggests that Microtus are also more abundant in these areas. This would seem to suggest that prey abundance above certain threshold densities is not critical to marten habitat selection. However, prey availability may play a more important role. Although prey species may be more abundance in logged areas, prey availability may be reduced.
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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) | 0.000 | 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 it