Surface vegetation controls on evapotranspiration from a sub‐humid Western Boreal Plain wetland
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Bibliographic record
Abstract
Abstract Wetlands in the Western Boreal Plain (WBP) of North Central Alberta exist within a moisture‐deficit regime where evapotranspiration (ET) is the dominant hydrologic flux. As such these systems are extremely susceptible to the slightest climatic variability that may upset the balance between precipitation ( P ) and ET. Wetland ET is predominantly controlled by vegetation composition but may also vary due to moisture regimes and microclimatic factors. To address this variability in moisture regimes, ET was examined in a typical moraine‐wetland‐pond system of the WBP during the 2005 and 2006 snow‐free seasons. Closed dynamic chamber measurements were used to gather data on plant community‐scale actual evapotranspiration (ET) in an undisturbed natural bog with varying degrees of canopy cover surrounding a shallow groundwater‐fed pond. For the purposes of scaling plant community ET contributions to those of the wetland, potential ET (PET EQ ) was measured using a Priestley–Taylor energy balance approach at three separate wetland sites with varying aspects surrounding the central pond, along with actual evapotranspiration using a roving eddy covariance (EC) tower. Growing season peak ET rates ranged from 0·2 mm/h to 0·6 mm/h depending on the location, vegetation composition and time period. Sphagnum contributions were the greatest early in the growing season, reaching peaks of 0·6 mm/h, while lichen sites exhibited the greatest late season rates at 0·4 mm/h. Thus, Sphagnum and other nonvascular wetland plant species control ET differently throughout the growing season and as such should be considered an integral part of the moisture and water balances within wetland environments at the sub‐landscape unit scale. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.000 |
| 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 it