Distance to suburban/wildland border interacts with habitat type for structuring exotic plant communities in a natural area surrounding a metropolitan area in central Chile
Why this work is in the frame
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Bibliographic record
Abstract
Background: The explosive growth of urbanisation in Mediterranean ecosystems in Chile has favoured the rapid expansion \nof exotic plant species, yet factors driving these invasion patterns in adjacent natural areas remain poorly assessed. \nAims: To assess how distance to a suburban/wildland border, habitat type, site-scale disturbance and woody plant cover of \nnative species influences the diversity of exotic species in a natural area surrounding the city of Santiago, Chile. \nMethods: Three watersheds were chosen, and the diversity of exotic species was assessed in 36 100-m-long transects, \nequally distributed over two distance categories and three habitats. For each transect, we measured woody plant cover of \nnative species and frequency of rabbit faeces as a measure of competitive exclusion and site-scale disturbance, respectively. \nResults: Species diversity decreased as the distance from the suburban/wildland border increased, and it was found to be \nhigher in north-facing habitats compared to south-facing and alluvial habitats. Neither native woody plant cover nor \nfrequency of rabbit faeces had an effect on species diversity. \nConclusions: The current pattern of exotic plant species in this natural area is mainly influenced by the distance to suburban \nborder and habitat type. An adequate management of conditions favouring exotic species in suburban/wildland border may \nprevent the spread of these into natural areas next to urban settings.
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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