Water flux components and soil water‐atmospheric controls in a temperate pine forest growing in a well‐drained sandy soil
Bibliographic record
Abstract
The influences of soil water supply and atmospheric demand on transpiration were studied to gain insight into the physical mechanisms limiting forest water use within the broader context of total canopy water loss to the atmosphere. Evaporation from forests (E) can be partitioned in to four main source components: canopy transpiration (Ec), understorey transpiration (Eu), evaporation from the soil (Es), and the evaporation of intercepted water (EI). Ec and EI usually make up most of E. Ec estimated from sap flow measurements and modeled EI estimates were compared with eddy covariance measured values of E to quantify the components of the above canopy water flux to the atmosphere, in a temperate pine forest ecosystem established on a well‐drained sandy plain at Turkey Point in southern Ontario, Canada. Daily values of E averaged 2.4 mm d−1 and reached maximums of 4 mm d−1 while daily values of Ec averaged 1.2 mm d−1 over the growing season. The evaporation of intercepted water (EI) was generally between 2 and 3 mm per event. EI accounted for 34% and Ec accounted for 47% (31 to 67% range on a monthly basis), together accounting for 81% of E during the growing season. Ec increased linearly with vapor pressure deficit (VPD) until a transition point was reached, after which mid‐day Ec rates remained more or less constant. For analysis purposes, data were segregated by early morning VPD (or VPDin) in an attempt to characterize the atmosphere at the beginning of the daily transpiration cycle. This technique revealed that shifts in the timing and magnitude of Ec rates masked the response of Ec to changes in soil water content. Analysis also suggested that while increasing VPDs may limit maximum transpiration rates, daily total transpiration is a conservative quantity. This study improves the understanding of the physical mechanisms limiting water loss in forested ecosystems growing on water‐stressed soils by investigating the effects of VPD and soil water content on Ec.
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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 | 0.000 |
| 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".