Deforestation and Carbon Stocks in the Surroundings of Lobéké National Park (Cameroon) in the Congo Basin
Bibliographic record
Abstract
The study was carried out in the Lobéké national park located in Congo Basin with disturbed ecosystems. Five types of land uses were identified using transects; plantations, fallows, secondary forest, primary forest and wetland, covering respectively 9.84 ha, 26.66 ha, 2.07 ha, 25.17 ha and 1.32 ha. We use allometric equation of Brown to calculate carbon stocks. The most significant aboveground biomass was in primary forest (172.60 t C/ha). This value became 94.10 t C/ha when converting primary forest into plantations; for a loss of nearly 78.5 t C/ha representing more than 50% of the initial stocks. In secondary forest we had 169.26 t C/ha; 84.74 t/ha in young fallows and 140.86 t/ha in old fallows. So, deforestation and degradation are harmful to the environment; the conversion of a forest into a plantation can causes a loss of considerable stock of carbon per hectare of land converted. Even though agro forestry systems can lead to stock carbon, the best way of preserving our environment remain the preservation of the natural ecosystems.
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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 | 0.001 |
| 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 | 0.000 | 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".