Leaf properties, litter fall, and nutrient inputs of<i>Terminalia ivorensis</i>at different tree stand densities in a tropical timber - food crop multistrata system
Bibliographic record
Abstract
Tree litter fall was monitored for 2 years in two Terminalia ivorensis A. Chev. plantations in the humid tropics of southern Cameroon. The plantations were 6 and 17 years old when they were each thinned to two timber stand densities (TSD) and understorey food crops were introduced. Leaf litter was the predominant litter fraction in all treatments. Treatment means of specific leaf area for T. ivorensis ranged from 83.7 to 100.7 cm2·g-1. Litter-fall production, leaf area per tree, and leaf area index for T. ivorensis were all higher in year 2 than in year 1. There was near complete defoliation of the T. ivorensis stand by Epicerura sp. (Lepidoptera: Notodontidae) caterpillars in the month just before the start of litter-fall sampling. This is the first report of an Epicerura sp. from Cameroon. Terminalia ivorensis leaf litter production per tree, specific leaf area, and leaf litter nutrient concentrations showed few significant differences between TSD treatments. This lack of response suggests that T. ivorensis is a suitable species for growing at stand densities lower than is normal silvicultural practice in association with food crops.
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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".