A Case Study: Growth of Tree-Form Willow Driven by Cool, Wet Springs and Warm, Dry Summers in Teetł'it Zheh (Fort Mcpherson), Northwest Territories, Canada
Bibliographic record
Abstract
Willow trees (Salix alaxensis) growing along the Peel River floodplains near Teetł'it Zheh (Fort McPherson), Northwest Territories, Canada, have been identified as a species of interest because of their impressive height and novel growth form. These willow stands are characterized by tree-form individuals covering 2000–3000 ha. Little research has been directed at understanding the climate–growth relationships of willow in this growth form or region. In this case study, we evaluate the dendrochronological potential of these willows, and assess climate–growth relationships for monthly temperature, precipitation, and SPEI (Standardised Precipitation Evapotranspiration Index) variables. We found that individual trees exhibited a common stand-level pattern of growth variability. Climate–growth correlation analyses indicate willow growth is positively related to May SPEI (r = 0.392) and the mean of June and July maximum temperature (r = 0.341). Willow growth exhibited a negative relationship with May maximum temperature (r = -0.458) and mean June/July SPEI (r = -0.338). These findings suggest there is a general climate response, where willow growth is greater in years with cool, wet springs, and warm, dry summers. Our results provide the first documentation of climate–growth relationships for willow in tree growth form and provide promising preliminary uses of tree-form Salix spp. for dendrochronological analyses.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".