Effects of above- and belowground partial harvest disturbance on growth and water status of residual sugar maple
Bibliographic record
Abstract
Partial forest harvesting is known to modify both above- and belowground resource availability and may result in direct and indirect stress to the residual trees as a result of machinery traffic and sudden changes in irradiance. We studied sugar maple (Acer saccharum Marsh.) trees in stands that had undergone a selection harvest 11 years before sampling to verify whether sudden increases in light availability and soil disturbance caused by machinery influence growth rates and lead to water stress. We selected trees that had experienced either no disturbance from partial harvest, soil disturbance only, sudden increases in light availability only or both disturbances. We analyzed stem radial growth rates and stable carbon isotope composition (delta(13)C) of stem wood with an annual resolution from 10 years before partial harvest until 10 years after partial harvest. Disturbances from partial harvest did not negatively affect growth rates or tree water status. Although trees that experienced increased light availability had higher (less negative) delta(13)C after harvest (indicating increased water-use efficiency), they also had higher growth rates, suggesting that they experienced no pronounced water stress. Trees subjected to soil disturbance showed no sign of water stress. These results may partly be associated with favorable growth conditions (abundant precipitation and mild temperature) in the years following harvest and could differ from results that would be observed under more severe climatic conditions.
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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 | 0.000 | 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 | 0.001 |
| 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 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".