A GIS framework for the application of the land degradation neutrality concept in Mediterranean landscapes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Given the absence of soil loss indicators within the Land Degradation Neutrality (LDN) framework, this study integrates land cover suitability, soil erosion and sediment transport as complementary Mediterranean-tailored indicators. The 309 km2 Lebanese Nahr Ibrahim basin was chosen for this purpose. Land cover suitability was determined by combining land capability-land cover maps, while soil erosion and sediment transport were assessed using the CORINE and SWAT models, respectively. Under current conditions, the following was found: a 34.84% land cover suitability; 4% low, 39.55% moderate and 56.45% high soil erosion risks zones, and 2.85% low, 26% moderate and 68.15% high sediment yields zones. Through the LDN response strategy based land use plan, land cover suitability increased by 26.54%, while soil erosion risks changed by: +3.1% low, +10.85% moderate and −18% high risk zones. For sediment transport, changes were: 0% low, +10.85% moderate and −18% high risk zones, hence the multi-effectiveness of LDN.
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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 it