Mycological diversity on Jack Pine and Black Spruce bark by Payuk Lake, Manitoba.
Bibliographic record
Abstract
Fungi provide an essential role to the ecosystem they inhabit by decomposing dead organic material; however, they have been studied little in Northern Manitoba.This is seen in Payuk Lake; located within a chain of lakes that make up the headwaters of the Grass River.This region is currently under consideration for conservation.The objectives of this study were to investigate the mycological diversity of Jack Pine (Pinus banksiana) and Black Spruce (Picea mariana) at Payuk Lake, MB, and to examine the differences in mycological diversity between heights of tree trunks and between Jack Pine (Pinus banksiana) and Black Spruce (Picea mariana).Bark samples were collected from three heights on Jack Pine and Black Spruce trees along the ridges of Payuk Lake.The bark samples were dried and placed in moist chambers for three weeks and their characteristics were described via the use of the dissecting and compound light microscopes.A total of 18 organisms were cultured from the bark samples, nine of which were classified as myxomycetes and nine as zygomycetes.Two-way cluster analysis showed that the most common organisms according to abundance were zygomycetes, and the uncommon were myxomycetes.Moreover, cluster analysis showed distinct clustering between tree species and heights.Shannon's diversity index was not significant between Jack Pine and Black Spruce, but trends were evident.The diversity of fungi, and other organisms, could be large and should be further investigated to better understand the importance of the Payuk Lake region, which would help conserve the headwaters of the Grass River.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".