The Impact of Cattle Grazing on Aspen Regeneration on Crown Lands in Western Manitoba
Bibliographic record
Abstract
In North America there has been an increasing appreciation for the value of trembling aspen as a source of timber (Populus tremuloides Michx). Moreover, aspen stands and the understory vegetation that they support also provide valuable forage for livestock and wildlife. Timber harvest and cattle grazing may occur on the same land base, although usually not simultaneously. The purpose of this study was to determine the affects of cattle grazing in post-harvest aspen stands in western Manitoba. In this study, grazed and non-grazed sites are compared to assess the effects of cattle grazing on stem density, tree health, and species diversity in the understory plant community across a seven-year chronosequence of harvests. Environmental data were collected to complement the biological data including soil compaction, soil texture, moisture regime and grazing pressure. Non-grazed sites in the oldest harvests had taller stems and significantly higher stem densities of aspen and all other tree species (p<0.1). Trees in grazed plots also exhibit poorer tree health characteristics than those in the non-grazed plots.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".