Pollination facilitation and temporal changes of plant-floral visitor network in a serpentine shrubwood of Cuba
Bibliographic record
Abstract
The stress-gradient hypothesis predicts that in stressful ecosystems, species interactions are facilitative rather than competitive. In Cuba, one of the more stressful environments for plants is serpentinitic shrubwoods (cuabales), which experience intense variations in precipitation and temperature. Plant facilitative mechanisms are reported in this ecosystem, and pollination facilitation could also occur. We hypothesize that in this seasonal ecosystem, characterized by harsh conditions, facilitative pollination interactions prevail accompanied by intense interaction rewiring and species turnover. This research analyzed the temporal variation of the plant-pollinator network of serpentinitic shrubwood in Lomas de Galindo, Mayabeque, Cuba. Data were obtained by monitoring diurnal plant-pollinator interactions for two days each month through one year. The network was composed of 31 plant species and 81 pollinator species, where ten modules of interactions were detected in the network. Nine species were identified as core species; four of them were plants that gathered the majority of interactions. However, plant core species change temporally. The changes in beta-diversity values were higher between the initial and final months of every season, which could be caused by the variations in phenology and changes in pollinators’ abundances. Facilitation occurred in six plant species that temporally segregate the pollination interactions and shaped the support of pollination in the community. For this reason, the conservation of pollination services in this ecosystem should be focused on these species.
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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 | 0.001 |
| 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".