Data from: Local adaptation of trees at the range margins impact range shifts in the face of climate change
Bibliographic record
Abstract
The ability of tree species to track their climatic niche at rates comparable to global warming is concerning, particularly if they are constrained by local adaptation. If a species is locally adapted at its range margin it could be beneficial for range expansion as it ensures that the genotypes colonizing new areas are the fittest because environmental conditions are more similar to the current ones. In trees, local adaptation can slow range expansion when climate change happens much faster than their ability to migrate. We investigate experimentally a series of factors thought to constrain the seedling phase at the leading edge of the distribution of a dominant tree species, sugar maple (Acer saccharum Marshall.). We established a seed transplant experiment using six provenances, representing the latitudinal species range, and transplanted them to 12 sites within, at, and beyond the current northern species range margin. Northern provenances currently provide the best opportunity for establishment beyond the actual range, where climatic conditions are more similar than those of the warmer central or southern portions of the species range. While establishment was highest within the species range, survival rates were comparable to those at the range margin and beyond, regardless of provenance. We also find that the local climate is the most influential factor for early seedling establishment and survival; however, a lack of suitable microsites also significantly constrained recruitment. Our study highlights the complex interaction between provenance, climate, and microsite conditions that are required to ensure successful seedling recruitment. While sugar maple is currently displaying evidence for local adaptation to facilitate range shifts, it could risk maladaptation in the future if the local climate warms beyond threshold required to ensure seed germination and a lack of favourable microsite conditions beyond the range.
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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 | 0.001 | 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 | 0.003 | 0.002 |
| 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".