Glomeromycetes from the Magdalen Islands archipelago: analyzing diversity and meta-community structure in a sand-dune ecosystem
Bibliographic record
Abstract
This report presents the first survey and analysis of the arbuscular mycorrhizal fungi community associated with Ammophila breviligulata Fernald (American beachgrass), of the Magdalen Islands archipelago, Quebec. Of the 36 selected harvesting sites, a total of 180 sand samples were collected from the rhizosphere of American beachgrass. Analyses were performed on the original sand samples and root and sand trap cultures. Of the 34 spore-morphotypes found, 31 belonged to glomoid spore species. Of the field sand samples, 72% contained the spores of Glomeromycetes and subsequent trap cultures increased this percentage to 84%. Of the 34 species, 29 were found sporulating in indigenous sand samples at harvest time, and only five additional species were recovered from root and sand trap pot culturing. Among the more generalist species were Rhizoglomus irregulare and G. sp4, which were found in 19 sites, Rhizoglomus aggregatum and Corymbiglomus tortuosum (found in 17 sites), Funneliformis mosseae and G. sp3 (found in 15 sites). This meta-community of Glomeromycetes is shown to have significant nestedness, indicating that fungal taxa that are more frequent in the whole archipelago are also more abundant locally. Some species pairs are shown to display significant negative associations in their patterns of co-occurrence. The relevance of these results for arbuscular mycorrhizal fungal community assembly and dynamics is discussed.
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 | 0.000 |
| 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 | 0.000 | 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".