The Influence of site type and harvest intensity on understory composition in boreal Picea mariana (Mill.) B.S.P. forest communities in Northwestern Ontario
Bibliographic record
Abstract
Plant diversity and composition in boreal black spruce understory communities was assessed 15 years after the application of three harvest disturbance treatments on loam, sand and peat site types. The study was carried out on replicated uncut, tree-length, full-tree, and full-tree blade harvest treatments applied on 30 x 30 m treatment plots in six research areas in northwestern Ontario in 1995/96. A significant treatment x site type interaction effect on species diversity and abundance was found. Species richness and diversity increased after canopy removal on all site types. Species evenness after canopy removal was significantly different only on the loam sites. The retention of slash (tree-length) compared to its removal lead to a significant decrease in species diversity on loam sites; the reverse was observed on peat sites. Species composition shifts were most evident on sites where the surface O-layer was removed (full-tree blade) with increases in herbaceous cover including grasses still evident 15 years after treatments. Species evenness was only significantly different after full-tree blade compared to other harvest treatments on sand sites. Mineral soil exposure and the presence of ruderal species were still evident on both the loam and sand site types. Comparison of the soil seed bank with the composition of the 15 year old communities did not detect the presence of invasive or exotic species. Species diversity response did not comply with the intermediate disturbance hypothesis. There was some evidence of compliance with the mass ratio hypothesis on peat sites, with the continued dominance of the pre-harvest ericaceous shrub and sphagnum components.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".