Radial growth response of white oak to climate in eastern North America
Bibliographic record
Abstract
Predicting forest responses to climate change requires an understanding of the cause–effect relationships linking climate to tree growth. Dendroecological analyses across sites that span climate gradients provide one means of characterizing such relationships. Dendroecological analyses for white oak ( Quercus alba L.) at 149 sites spanning the species range in eastern North America identified spatially replicated growth–climate associations. Early growing season site water balance variables for the year of annual ring formation had the strongest, most spatially replicated associations with growth. There was little evidence of phenological variation of these associations related to the latitudinal temperature gradient. Most spatial variation in growth–climate associations was along an east-to-west precipitation gradient. Radial growth was most strongly correlated with site water balance at sites in the northwest quadrant of the range, characterized by continental climate and high interannual variability in precipitation. There was little evidence that dormant season temperature affects white oak growth, even at the northern range limit. Correlations with dormant season precipitation were common in the northwest part of the range, where winter soil water recharge may be more variable. Spatial replication was a useful criterion for distinguishing growth–climate correlations that reflect cause–effect relationships.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".