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 little studied in Northern Manitoba. Payuk Lake is 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 Payuk Lake, MB, and to examine the difference in mycological diversity between Jack Pine ( Pinus banksiana ) and Black Spruce (Picea mariana ) and the heights on each tree trunk. 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 described using the dissecting and compound light microscopes. A total of 18 organisms were cultured from the bark samples, nine of which were classified as myxomycetes. Two-way cluster analysis showed that the most common organisms were zygomycetes, and the uncommon were myxomycetes. Cluster analysis also 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 and to help conserve the headwaters of the Grass River.
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 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) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".