Ecohydrology and causes of peat degradation at the Vasi peatland, South Africa
Bibliographic record
Abstract
The Vasi peatland complex is situated in the northeast of South Africa. It is an unprotected area surrounded by pine (Pinus sp.) and blue gum (Eucalyptus sp.) plantations. Little is known about the conditioning factors for the area’s development and causes of degradation. In order to understand the ecohydrological system of this complex, water tables and ionic composition of surface water and groundwater, as well as natural isotopes of oxygen, hydrogen and carbon, were measured. Macrofossils and radiocarbon dating of the peat layer were used to describe the historical environmental conditions. We found that peat accumulation started during the Early Holocene and was initiated by terrestrialisation of inter-dune lakes. Our results also show that the Vasi peatland complex is primarily dependent on a perched water table due to the presence of iron-rich deposits close to the surface (i.e. KwaMbonambi Formation). The Vasi peatland basins appear to be hydrologically connected and some basins show indications of cascading through-flow systems, which means that the water flows from a higher basin to a lower one through the permeable parts of the sand dunes and peat layers. The stratigraphy indicates continuous peat accumulation, and thus that the water table was perennially high for thousands of years, despite evidence of the occasional natural occurrence of fires. We conclude that the most likely cause of the observed signs of degradation is land use change, i.e. the recent establishment of plantations, which affect the groundwater system.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".