From Land Cover to Landscape Structure: Change and Fragmentation Analysis in Korup National Park, Cameroon
Bibliographic record
Abstract
Can the designation of protected area status in a human inhabited ecosystem limit anthropogenic activities within the boundaries of the protected area? To attempt an answer to this question, we used the Central zone of Korup National Park, Cameroon as an example. Comparing two satellite imageries (1986 and 2000), it was possible to assess land cover transformations, and with the FRAGSTATS software it was possible to quantify the changes of landscape characteristics in the area fourteen years after the creation of the park in 1986. The results revealed an increase in exposed surfaces (15.61%), which came at the expense of forest-land-cover (-12.69%) and water bodies (-2.92%). Meanwhile, landscape metrics demonstrated significant changes including, an increase in the number and size of patch, diversity and fragmentation. Overall, structural metrics for landscape indicated that anthropogenic activities still continue within the boundaries of the park. The results con?rm the effectiveness of the combined method of remote sensing and metrics.
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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 | 0.002 |
| 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) | 0.001 | 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".