Composition and diversity of fungi on decaying logs in a New Zealand temperate beech (<i>Nothofagus</i>) forest
Bibliographic record
Abstract
Saprobic fungal taxa on decomposing mountain beech (Nothofagus solandri var. cliffortioides (Hook. f.) Poole) logs were investigated in relation to properties of logs including stage of decay, size, nutrient concentration, and moisture content. We also determined whether logs become increasingly heterogeneous in nutrient concentration and moisture content with decay and also whether log heterogeneity related to fungal taxa diversity. Sporocarps were collected from the same 75 logs in spring (November 1995, 80 taxa) and autumn (May 1996, 151 taxa). For both seasons the dominant pattern in fungal taxa composition was only weakly related to measured properties of logs; however, a secondary pattern was found related to a fungal taxa succession reflecting stage of decay. In the autumn collection, Biscogniauxia capnodes (Berk.) Y.-M. Ju & J.D. Rogers and Schizopora nothofagi (G. Cunn.) P.K. Buchanan & Ryvarden occurred on small logs in the early stages of decay, with relatively low N. Decayed logs, with relatively high N, were characterized by Marasmius otagensis G. Stev. and Athelia epiphylla Pers. Our observations were not consistent with previously described successional trends from soft- to white- and brown-rot fungi as logs decay. The number of fungal taxa increased with log volume, and, additionally for the autumn collection, with heterogeneity in cation concentration suggesting habitat heterogeneity may be a factor in explaining log fungal taxa diversity.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".