Seasonal variation and distribution at different soil depths of arbuscular mycorrhizal fungi spores in a tropical sclerophyllous shrubland
Bibliographic record
Abstract
Limited information is available for the diversity of arbuscular mycorrhizal fungi (AMF) in most tropical soils. To assess the biodiversity of AMF in a sclerophyllous shrubland ecosystem, an exhaustive collection of spores from soil collected in the Venezuelan Guayana was undertaken. Spores were collected from the first 15 cm of soil, four times throughout the year, and at four different depths during dry and wet seasons. A total of 50 AMF morphotypes were collected in the field, and 2 more were isolated from pot cultures. There was a reduction in spore density with soil depth, although richness of spores remained the same up to a depth of 45 cm. Spore density and richness based on soil cores were higher in the dry season than in the rainy season. Only 24% of the AMF morphotypes present could be identified to species level, since most of them did not fit published descriptions available. It is important to perform an exhaustive sampling of spores in the different seasons throughout the year and at different soil depths to obtain an accurate view of AMF spore diversity associated with a particular ecosystem.
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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 | 0.000 |
| 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) | 0.001 | 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".