Re-greening of agrosystems in the Burkina Faso Sahel: greater drought resilience but falling woody plant diversity
Bibliographic record
Abstract
Summary Droughts and land degradation result in biodiversity and ecosystem service losses with serious implications for human wellbeing. The Sahel region has seen increased plant cover since the end of 1970s–1980s droughts, but understanding the nature and implications of this change remains a priority. This study aimed to assess changes in the woody floristic composition of re-greened agrosystems since the droughts in Burkina Faso. In 148 vegetation survey plots distributed across areas with increasing woody plant cover and those to some extent protected from exploitation, a total of 71 species from 51 genera and 23 families were identified. Compared to pre-drought flora, our measurements show a decline in the diversity and density of woody species. Combretaceae species and thorny species of the genera Acacia and Balanites, which are more tolerant of drought, were the most dominant, indicating a post-drought woody vegetation that is more resistant to water stress. The increased presence of food-producing species in agroforestry parks (cultivated fields with woody plants) seems to reflect the growing needs of the human population.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".