Ethnobotanical Survey of Woody Plants in Shorobe and Xobe Villages, Northwest Region of Botswana
Bibliographic record
Abstract
Ethnobotanical investigations were conducted at Xobe and Shorobe Villages in northwestern Botswana to identify woody plants used by the local people. A total of 90 households (35 in Xobe and 55 in Shorobe) were interviewed using a semi-structured questionnaire and personal interviews. A total of 38 woody species representing 16 families and 25 genera were recorded. Of these, 28 species representing 15 families and 22 genera were recorded from Shorobe, and 27 species representing 10 families and 15 genera were recorded from Xobe. The uses of woody plants were grouped into eight categories, namely construction, fuelwood, furniture, medicine, human food, fodder, farm implements, and shade. Several of the species are used for more than one purpose. At both study sites, the use category with the highest proportion of number of woody species and proportion among the use categories was human food. Thirteen of the families were represented by 23 woody species that are used for medicinal purposes, and the most commonly used plant parts were the roots, bark, leaves, and stems. Nine of the 28 woody species (28%) in Shorobe and nine of the 27 woody species (33.3%) in Xobe provide edible parts. Six (21%) and eight (30%) woody species recorded in Shorobe and Xobe, respectively, are used for construction purposes. Most plants are used as fuelwood for household energy generation. In spite of the scarcity of natural forests in the study areas, the local communities continue to depend on the indigenous woody species in their surroundings for their survival. Virtually all trees identified in the different families are useful in one way or another in the lives of the rural communities, with most of the species serving more than one function. There is, therefore, a need for cultivation, protection, and sustainable management of these valuable resources for sustaining rural livelihoods in the study sites.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".