Industrial agricultural and woody encroachment associated with American Woodcock habitat selection in an altered grassland ecosystem
Bibliographic record
Abstract
Animal distributions continue to undergo dramatic shifts in response to environmental change as many ecosystems become altered or transition away from their historic states. The North American Great Plains was historically a vast prairie ecosystem that has been heavily altered into a patchwork of remnant grasslands, industrial agriculture, and tracts invaded by woody vegetation. We studied the habitat selection of a forest-dwelling bird, the American Woodcock ( Scolopax minor J. F. Gmelin, 1789), at the westward periphery of the species’ range to determine how this species uses resources in this modified landscape. During the migratory and breeding season (March–May), woodcock tracked using GPS transmitters in Nebraska selected areas with higher proportions of young forest and forests with moist soils, exhibiting similar selection to birds occupying core areas of their range in eastern North America. During the summer, woodcock routinely used (46% of diurnal points) irrigated agricultural fields during the day, which was unexpected for a species that is known to summer in forest-dominated ecosystems. Our study provides evidence for flexible and atypical woodcock habitat selection at the edge of their range. These results add to the growing body of evidence pointing to regional shifts in avian community structure and further underscore the threats of agricultural conversion and woody encroachment to the Great Plains.
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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 | 0.000 |
| 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".