The history and future of the rare, endemic plant species, Draba yukonensis (Yukon Draba)
Bibliographic record
Abstract
Many species in Canada remain poorly characterized regarding the projected impact of climate change. Here, I report my results from species distribution modeling for the rare, Yukon endemic plant, Draba yukonensis. Predicted change in range size in 2070 is an increase of 171375.1-184318.0 km2, which is surprising considering its limited known range. Overlap of predicted future and current ranges is 96.9-97.4%. Occurrence of protected areas in the predicted future range is 9.7-10.5%. It is possible that D. yukonensis represents a recently originated variety of a more common species that recently experienced polyploidization. I therefore performed phylogenetic analyses to elucidate relationships of D. yukonensis with other Draba species in the Yukon. I found that D. yukonensis is appropriately delineated as a Canadian endemic species and may be an allopolyploid of D. fladnizensis and D. lactea, or, likelier, is closely related to D. lactea. Overall, this work provides important predictions regarding where D. yukonensis could require interventions to aid its conservation.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".