Land-use legacies affect flower visitation network structure after forest restoration
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
Agricultural land use causes drastic changes to ecosystems, which persist after agricultural activity has stopped. One way to mitigate these impacts is through restoration of post-agricultural lands; however, the interplay between agricultural history and restoration remains poorly understood. This is particularly true for interactions among species. We investigated the effect of experimental restoration of longleaf pine (Pinus palustris Mill.) forests with differing land use histories on floral visitation networks. We found that restoration of open canopy conditions caused drastic increases in floral and floral visitor abundance and species richness. We found that after restoration, plots with no history of agriculture supported more specialized floral visitations and networks than in post-agricultural plots. These results illustrate large positive effects of forest restoration and flowering of understory plants and floral visitation, along with a persistent agricultural land-use legacy affecting the structure of floral visitation networks that is still evident 66 years after agricultural abandonment.
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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 | 0.001 |
| 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 | 0.001 |
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