Low genetic diversity, restricted dispersal, and elevation-specific patterns of population decline in American pikas in an atypical environment
Bibliographic record
Abstract
Abstract In the face of climate change, there is a growing need for research into the ability of organisms to persist at the limits of their bioclimatic envelope. American pikas ( Ochotona princeps ) have emerged as a focal mammalian species for investigating extinction risk related to climate change; however, most studies have occurred in characteristic alpine talus habitat within the range core. In the Columbia River Gorge (CRG), Oregon, American pikas inhabit low-elevation talus slopes previously considered outside the species’ bioclimatic range. We used microsatellite genotypic data to reconstruct levels of genetic variation, population connectivity, and demographic history at 11 CRG sites spanning an elevational gradient (104–1,292 m). Sampled sites separated into 2 genetic clusters largely explained by elevation, topography, and geographic proximity, with pairwise estimates of differentiation and migration rates suggesting little gene flow may be occurring. Sites were characterized by levels of allelic richness and heterozygosity substantially lower than values reported at characteristic alpine sites from the range core. Evidence of recent demographic contraction was found almost exclusively at high-elevation sites despite these areas being considered refuges from climate warming in more typical habitat. Given their unique genetic characteristics and persistence in an atypical environment, the CRG pika populations likely constitute a significant component of intraspecific biodiversity with high conservation value.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".