Measurement and modelling of bryophyte evaporation in a boreal forest chronosequence
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Bibliographic record
Abstract
Abstract The effects of changing climate and disturbance on forest water cycling are not well understood. In particular, bryophytes contribute significantly to forest evapotranspiration in poorly drained boreal forests, but few studies have directly measured this flux and how it changes with stand age and soil drainage. We measured bryophyte evaporation ( E ) in the field (in Canadian Picea mariana forests of varying ages and soil drainages) and under controlled laboratory conditions, and modelled daily E using site‐specific meteorological data to drive a Penman–Monteith‐based model. Field measurements of E averaged 0·37 mm day −1 and ranged from 0·03 ( Pleurozium schreberii in a 77‐year‐old dry stand) to 1·43 mm day −1 ( Sphagnum riparium in a 43‐year‐old bog). In the laboratory, moss canopy resistance (which ranged from ∼0 to 1500 s m −1 ) was constant until a moss water content of ∼6 g g −1 and then climbed sharply with further drying; unexpectedly, no difference was observed between the three moss groups (feather mosses, hollow mosses and hummock mosses) tested. Modelled annual E ranged from 0·4 mm day −1 , in the well‐drained stands, to ∼1 mm day −1 in the 43‐year‐old bog. The Penman–Monteith modelling approach used was relatively insensitive to most parameters but only explained 35% of the variability in field measurements. Bryophyte E was greater in bogs than in upland stands, was driven by low‐lying mosses and varied with stand age only in the poorly drained stands; this suggests that bryophytes may provide a buffering effect to fire‐driven changes in tree transpiration. 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