Are productivity and richness related consistently after different crops in the Neotropics?
Bibliographic record
Abstract
To better understand the relationship between productivity and species richness after disturbance in the Neotropics, I tested two hypotheses using tree stem data collected in permanent plots set up after abandonment from agriculture. I found that (i) species richness had a significant positive relationship with productivity, where the slopes of the regression lines decreased over time for all fields taken together suggested the early upswing, leveling off, and later downswing of a unimodal curve; and (ii) this unimodal pattern held true both in the recovering sugarcane ( Saccharum officinarum L.) and in the recovering banana ( Musa sp.) plantations. There was a delay, however, in the development of the unimodal pattern in the seeded pasture, perhaps due to root competition between the residual tussock grass ( Setaria sphacelata (Schumacher) Moss) and Neotropical tree seedlings. Taken together, the results imply that a unimodal model between productivity and species richness after agriculture may be independent of specific field conditions such as past crop and, therefore, represent a more universal ecological concept.
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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".