Soil chemical properties and distribution of sclerotium grains in forest soils, Harz Mts., Germany
Bibliographic record
Abstract
Relationships between the distribution of fungal sclerotium grains and soil chemical properties were studied in forest soils of Podsole, Braunfahlerde, and Braunerde-Podsoles in Harz Mts., Germany.Development of sclerotium grains was dominant in surface horizons (Ab, E horizons) within a 10-cm depth and weight density of grains ranged from 0.01 to 4.99 g kg-I soil.The SEM-EDX analysis proved that the weight percentage (excluding C and N) of AI 2 0 3 was 39.8-63.9%inside the grains.The content of elgosterol, a biomarker of viable fungal biomass, showed good correlations with weight density of sclerotium grains in grain-detected soils.The sclerotium grains were likely to be formed in soils with high ratios (>0.6) of organic bonding AI (~) to amorphous AI (AID), and with high contents of exchangeable AI (AI 3 +) (>0.54 g kg-I).The content and state of active AI were believed to be responsible for the development of sclerotium because sclerotium grains were not detected in acid soils which had lower levels of free colloidal AI (Aid' AID, AI p ) ' We believed that the intensive clay destruction associated with past lessivage process induced the absence of free colloid AI in such forest soils.
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) | 0.000 | 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 teacher head, 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".