Variation in fuelwood properties and correlations of fuelwood properties with wood density and growth in five tree and shrub species in Niger
Bibliographic record
Abstract
Information about variation and correlations of fuelwood properties and growth is needed in order to recommend species and sites for fuelwood production in a changing climate in Africa. We investigated the effects of site variables (land use, soil, terrain), geographical coordinates, and mean annual rainfall on fuelwood properties (volatile matter, fixed carbon, ash content, moisture content, gross calorific value, gross calorific value per cubic metre, and fuel value index) of Combretum glutinosum Perr., Combretum micranthum G. Don., Combretum nigricans Lepr. ex Guill. & Perr., Guiera senegalensis J.F. Gmel., and Piliostigma reticulatum (DC.) Hochst. and correlations of fuelwood properties with wood density and growth (height, stem diameter, and ring width) in Niger. We hypothesized that wood density, fixed carbon, and gross calorific value were positively correlated with one another and that fixed carbon and gross calorific value were positively correlated with growth. Most effects of site variables, geographical coordinates, and mean annual rainfall on fuelwood properties differed among species. Fuel value index was greater on rocky soils than on sandy soils. Wood moisture content of three species was greater in drier locations than in more humid ones. Correlations of fuelwood properties with wood density and growth differed among species. Based on this and previous research, we recommend parkland agroforests and sites with rocky soils and higher mean annual rainfall for fuelwood production.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 teacher head, 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".