PHOTOSYNTHETIC ADAPTATIONS AND NICHING OF PLANTS IN THE TROPICS: A QUARTER-CENTURY OF FIELDWORK AT A VARIETY OF PHYSIOGNOMIES OF THE CERRADOS AND ATLANTIC FOREST OF BRAZIL
Bibliographic record
Abstract
For about 25 years the photosynthetic performance of plants has been measured at a variety of different types of vegetation physiognomies of the cerrados and Atlantic forests of Brazil. The results of all these 28 publications, at the great majority of which Eduardo Arcoverde de Mattos has actively and most inspiringly participated, are overviewed here. A plea is made for an approach of physiological synecology with comparisons between different habitats, between species within given habitats and between given species across different habitats. This is exemplified for habitats within the geographical coordinates of 15°44’ and 23°08’S and 47°53’ and 41°15’ W. The sites, their environmental characteristics and typical vegetation physiognomy, are described. The observations and results of the ecophysiological field work with respect to performance of photosynthetic gas exchange and other traits, including morphotypic adaptations, viz. plant morphotypes, and water relations, are summarized. The, both facilitating and competing, performances of plants with C3-photosynthesis, and different levels of expression of crassulacean acid metabolism (CAM) are evaluated. Diversity and plasticity of niches and species is considered. The consequences for a “post-modern-synthesis” of evolution theory are assessed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".