Persistent Effects of Chemicals Used to Control Shrub Densification in Semi-Arid Savanna
Bibliographic record
Abstract
Mokala National Park (MoNP) was proclaimed in 2007 in an area that used to be managed as a commercial wildlife and hunting farm, and prior to 2003 as a cattle and goat farm. The vegetation comprises sparse to closed woodlands and shrublands of the Savanna Biome. Shrub densification was deemed undesirable in the context of commercial farming where management objectives were to maximise production of grazing animals and to promote visibility of wildlife to tourists and hunters. Accordingly, previous landowners have attempted to eradicate prolific shrubs (particularly Senegalia mellifera) by mechanical and chemical means in certain areas during the period 1996–2004. Effects of these treatments are still apparent more than a decade later. Here we document the history of herbicide applications and other management practices in affected areas of MoNP. We furthermore explore potential ecological effects of the herbicide used (‘Molopo 200GG’ with active ingredient Tebuthiuron) in relation to the ecology of the most-affected shrub species, S. mellifera. We conclude with suggestions for future monitoring to establish potential long-term impacts of the chemical control.
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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 | 0.000 | 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) | 0.000 | 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".