Seasonal dynamics of tree growth, physiology, and resin defenses in a northern Arizona ponderosa pine forest
Bibliographic record
Abstract
During periods of resource stress, such as drought, allocating limited photosynthate between growth and defense is a crucial component of tree survival. Our objectives were to describe the seasonal dynamics of physiology, growth, and resin defense of southwestern ponderosa pine ( Pinus ponderosa Dougl. ex P. & C. Laws.) which undergoes regular seasonal drought. We measured leaf-level net photosynthetic rate, leaf water potential, resin flow after phloem wounding, and growth in 24 consecutive months in 2002 and 2003. Precipitation was below average in both years, and 2002 was an extreme drought. In both years, the highest resin flow occurred when tree water stress was highest and photosynthesis was low. Belowground growth was highest in August in both years. Aboveground growth occurred primarily between May and August and was greater in 2003 than in 2002. Temporal variation in resin flow was positively related to temporal variation in needle and radial growth but was not related to temporal variation in root nor shoot growth. Thus, trade-offs in carbon allocation between resin and growth were weak. We discuss these results in the context of water stress in trees, current hypotheses of carbon allocation in plants, and the historical lack of pine bark beetle epidemics in northern Arizona.
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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 | 0.000 |
| 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) | 0.000 | 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 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".