Woody Species Physiological Responses to Water Stress along Climatic Gradient in Burkina Faso
Bibliographic record
Abstract
Drought had been increased for some decades in Burkina Faso, resulting in a reduction of ecosystems and risk to decrease provision of basic needs for vulnerable people. Different Plantation implemented these recent years had low rates of success due to lack of scientific knowledge relating to local woody species. This research was carried out to assess physiological responses along gradient of increasing aridity from south to north. Specifically, this study was to evaluate influence of climatic gradient on water potential, water content and relative water content of four woody species (Balanites aegyptiaca, Pterocarpus erinaceus, Parkia biglobosa and Vitellaria paradoxa). It appeared that climatic gradient significantly influenced differently plants water status. Water potential diurnal ranges of studied woody species were highly significant in all the sites. That means that they could cope in sites with large variation of drought. So, they could be considered in reforestation activities in the context of climate change. However, results had also shown that physiological parameters were influenced by toposequence, plants morphology and microclimate in which species could benefit in environments with unfavorable water conditions, therefore, further studies are needed before making rough recommendations.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".