Effects of Piliostigma reticulatum on the Vegetation Dynamic in Sudanian Zone of Burkina Faso
Bibliographic record
Abstract
This study aims at identifying the effect of P. reticulatum on the vegetation regeneration dynamic in Sudanian fallows of Burkina Faso. Two fallows of about twenty years old have been considered. The point quadrat method was used for herbaceous inventory. Aboveground biomass has been estimated. Moreover, effect of P. reticulatum on the regeneration of others woody species has been studied under, at the limit and out of the shrub canopy. In north Sudanian zone, inventory recorded 39 herbaceous species of which 23 species under the canopy and 16 in open grassland, distributed in 12 families and 22 genera. In south Sudanian zone, species diversity is 41 species from which 23 under the canopy and 18 out of, spread in 16 families and 26 genera. Species higher than 80 cm have been observed only under P. reticulatum canopy in south and north Sudanian zone. In addition, no species of striga met in open sunlight has been observed under the shrub canopy. East and West directions recorded the important proportions of species with individuals belonging to the stratum superior to 100 cm (3.13 and 4.81 % in north direction, 1.47 and 1.73% in south directions).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".