Distribution of Aboveground Biomass and Soil Organic Carbon in a Degraded Mangrove in Douala-Edéa National Park, Cameroon
Bibliographic record
Abstract
Mangrove ecosystems store large amounts of carbon in their soils because of their location in the intertidal zone. These ecosystems are heavily exploited for livelihood and thus threatened by human activities. In this study, we evaluated the relationships between Mangrove stand structure and soil organic carbon at different soil depths. We established quadrats of 25 m × 25 m (625 m2), measured all trees ≥5 cm within the quadrats and collected soil samples using an auger at different depths (0–30 cm; 30–40 cm and 40–50 cm). Results from the study highlighted that Rhizophora harrisonii, Acrostichum aureum, and Laguncularia racemosa were the three species present in the Mangrove stands. Mangrove stand structure stood at 448 ± 3 stems ha−1for absolute density, 11.46 ± 0.02 m2 ha−1 for basal area, 14.47 ± 0.34 cm for average diameter, and 148.76 ± 0.40 Mg ha−1for aboveground biomass. A negative but significant association existed between Mangrove stand structure and soil organic carbon at the 40–50 cm depth. Soil organic carbon varied significantly with depth with average values of 157.87 ± 0.94 Mgc ha−1, 93.66 ± 0.93 Mgc ha−1, and 91.36 ± 0.67 Mgc ha−1 for 0–30 cm, 30–40 cm, and 40–50 cm depths, respectively. This result highlights the critical “niche depth” at which Mangrove stands acquire soil elements.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".