Multiple glacial refugia across northern and southern China and unexpected patterns of spatial genetic diversity in <i>Betula albosinensis</i> : a widespread temperate deciduous tree species
Bibliographic record
Abstract
Abstract The central-marginal hypothesis (CMH) predicts high genetic diversity at the species’ geographic centre and low genetic diversity at the species’ geographic margins. However, most studies examining the CMH have neglected potential effect of past climate. Here, we test six hypotheses, representing effects of past climate and contemporary range position, for their ability to explain the spatial patterns of genetic diversity in 37 populations of Betula albosinensis . Ecological niche modelling (ENM) revealed large and continuous suitable habitats in north, southwest and southeast China during the last glacial maximum (LGM) but a contraction of suitable habitats since the LGM. Pollen records further confirmed the existence of multiple refugia in north and south China. The spatial pattern of genetic diversity (i.e., expected heterozygosity, gene diversity and allele richness) were best explained by distance to the southern edge and distance to the range edge but also showed longitudinal and latitudinal gradients. Hypotheses accounting for the effects of climate (climatic suitability, climatic stability and climatic variability) had comparatively little support. Our findings show partial support for the CMH and illustrates that the existence of multiple LGM refugia, and suggests species abundance and past species movement play a role in shaping genetic diversity across species’ ranges.
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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 | 0.000 | 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) | 0.001 | 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".