Water Availability, Climate Change and the Growth of Douglas-Fir in the Georgia Basin
Bibliographic record
Abstract
Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) is an important species for timber production in the Georgia Basin with growth dependent on moisture availability during the summer. The potential effect of climate change on water availability and the productivity of coastal Douglas-fir was evaluated using relationships between available water and Douglas-fir yield developed from field measurements and the Ministry of Forests’ timber production and recovery analysis system. Summer water availability (May to July rainfall plus 60% of the water storage capacity of the root zone) ranged from 175 to 295 mm for the sites investigated. The May to July potential evaporation for 1951 to 2002 calculated using the Penman-Monteith equation and a field-derived canopy resistance function varied from 153 to 279 mm. The sites had a sensitivity of 6.1 m3 of merchantable volume ha−1 per mm of available water. Summer potential evaporation for a range of climate change scenarios was calculated. Change in water availability through a 10% reduction in rainfall or a 6% increase in potential evaporation over the life of the stand could result in a reduction in stand volume by up to 80 m3 ha−1 at harvest, 10 to 30% of current merchantable volume.
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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 | 0.000 | 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".