Characterization and functional ecology of the extrafloral nectar of <i>Cedrela odorata</i> in contrasting growth environments in central Veracruz, Mexico
Bibliographic record
Abstract
Extrafloral nectar (EFN) is a plant secretion known to mediate interactions between insects and plants. Here we present the ecological characterization of the EFN of Cedrela odorata, in terms of sugar composition, as well as its importance in attracting ant visitors to extrafloral nectaries. We also studied the influence of different plant water conditions on the quality of EFN. We found site (forest, agroecosystem, plantation) and season (i.e., rainy, dry) effects for both water balance and the quality of EFN. Our results show that (i) water has a significant influence on EFN quality and (ii) environmental disturbance that differed at each site was associated with differences in loss of water through transpiration. Season also affected the levels of dissolved sugars in EFN. This had a direct, site-dependent impact on the abundance of ants foraging on EFN. Only at the most disturbed site (where higher damage by shoot borer occurred) was the abundance of ants foraging on EFN higher during the rainy season, when herbivore pressure increased. This pattern was consistent with an induced biotic defense strategy in C. odorata.
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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) | 0.000 | 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 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".