Tropical peat deposits undergoing land-use change: the case of Buhandanda and Lushala peatlands (Democratic Republic of Congo)
Bibliographic record
Abstract
Discovery of the world’s largest known peat deposit in the Central African Basin creates a need for the Democratic Republic of Congo (DRC) to undertake a realistic national assessment of peat carbon. In the study described here we determined physicochemical properties of the Buhandanda and Lushala peat deposits, located in Sud-Kivu Province, to gain insights about their structure and functioning and provide a first estimate of C stocks. A change of land use (to seasonal subsistence agriculture) operating in the last few decades has dramatically modified the vegetation, which was originally dominated by mesophilic forest species. Several peat properties (pH, organic matter content, porosity, dry matter, ash and fibre contents) increased with depth in the peat profile, although some (nitrogen, nitrate, phosphate content and air-filled porosity) decreased and others (bulk density, solids density, C/N) showed no trend. The C densities of peat at the two sites were 68.60 and 60.64 kg m-3, our estimates of mean (± SD) peat thickness were 324 ± 139 and 212 ± 109 cm, and total C storage was 0.136 and 0.023 Mt, for Buhandanda and Lushala, respectively. The range of calibrated radiocarbon dates for a 200 cm deep core collected from Lushala was 648–2005 cal. AD, with a high modern carbon fraction (F14C) near the surface (at depths of 15 cm and 80 cm). Overall, our results indicated that carbon accumulation has declined at these two sites owing to the reduction in litter flux associated with land use change. Using the average C densities and peat thicknesses measured at Buhandanda and Lushala, we estimated that the total C storage in Sud-Kivu peatlands is approximately 1.23 Mt.
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 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 | 0.000 | 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 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".