Reproductive phenology of the Caribbean cactus <i>Harrisia portoricensis</i>: rainfall and temperature associations
Bibliographic record
Abstract
Phenological patterns often influence the extent of reproductive success of plants as well the interaction among species. In this study, we evaluated the association of local climatic factors and plant size with the reproductive phenology of the threatened cactus Harrisia portoricensis in the Caribbean dry forest of Mona Island. Analyses of phenological data gathered monthly in 572 plants over 2 years concluded that for this species, reproductive activity is continuous throughout the year and reproductive output is positively correlated with plant size. Bud production in H. portoricensis was positively associated with temporal changes in monthly mean and minimum temperatures, while flower production was positively associated with total monthly rainfall. When compared with other columnar cacti species, the combined phenological responses to temperature and rainfall in H. portoricensis represent a different strategy. We hypothesize that contrasting phenological responses among columnar cacti may stem from site-specific differences in the degree of intra-annual rainfall or temperature variability. If that is the case, then monitoring reproductive responses of cacti to expected changes in climate at a global scale would require gathering phenological data for this taxon across different geographic regions.
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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".