Aquatic hyphomycete communities across a land-use gradient of Panamanian streams
Bibliographic record
Abstract
Aquatic hyphomycetes play an essential role in the conditioning and breakdown of imported leaves, needles and other plant detritus in running waters. Most research on their diversity and function has been done in temperate regions and very little in South and Central America. Current knowledge suggests that fungal diversity in tropical streams is comparable to that in temperate waters. Due to increasing anthropogenic stress threatening stream communities in the tropics, we risk losing irreplaceable information. We investigated aquatic hyphomycetes on leaves decaying in 15 streams in the Republic of Panama. The streams were classified as pristine, rural, or urban. Multivariate analyses of physico-chemical and riparian vegetation parameters separated the pristine streams from the other two groups. Pristine streams generally had the lowest levels of several inorganic nutrients and turbidity and the widest buffer zones of riparian vegetation. Multivariate analysis of aquatic hyphomycete communities separated the pristine streams from rural and urban streams. Both numbers of fungal species and conidia released per unit leaf mass were generally highest in pristine streams. A total of 34 fungal taxa was recovered. Of these, 32 were assigned to described aquatic hyphomycete taxa, with 29 being new records for the Republic of Panama.
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 | 0.001 |
| 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".