Respuestas fenológicas de gramíneas C3 y C4 a variaciones interanuales de precipitación y temperatura
Bibliographic record
Abstract
Temperature and precipitation are key factors in plant phenology and productivity. Modifications on growth and reproductive cycles may affect the relative fitness of the species, altering their interactions and ecosystem functions. In native grasslands of San Luis province, Argentina, C3 (cold-season) and C4 (warm-season) grasses coexist, which makes these grasslands particularly interesting. In this study, we evaluated how phenology of four native grasses (two C3 and two C4) is related to changes in temperature and rainfall. We compared phenological data collected in situ during two periods: from 1976 to 1986 and from 2008 to 2010. We found that warmer summers were related with a delay on the reproductive offset and the length of the reproductive cycle in all four species. In contrast, warmer springs were related with earlier flowering of C4, but later flowering of C3 grasses. Years with rainy winters were related with earlier flowering onsets in C3 species, while rainy summers were related with later and longer reproductive cycles in C4 grasses. These results provide valuable information about vegetation responses to climate and may be used for range management purposes.https://doi.org/10.25260/EA.18.28.2.0.658
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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".