Interannual climatic sensitivity of surface energy flux densities and evapotranspiration in a disturbed and rewetted ombrotrophic bog
Bibliographic record
Abstract
• 8 years of measured eddy-covariance fluxes in a coastal Sphagnum-dominated peatland. • Daily evapotranspiration (ET) is driven by vapor pressure deficit and net radiation. • Peat surface moisture content acts as secondary control on daily ET. • Duration of atmospheric water deficit is not related to seasonal ET loss. • Interannual variability of ET related to humidity, not air temperature or radiation. This study quantified surface energy balance and evapotranspiration in a Sphagnum -dominated ombrotrophic bog located near their southern limit in western North America (49.13 ∘ N, 122.98 ∘ W) from summer 2014 through 2022 to assess the bog's sensitivity to future climatic conditions, particularly to increasing severity and duration of drought conditions. Precipitation exceeded evapotranspiration in winter, but net surface water exchange was negative for between four and six months in summer. Shifts in surface water exchange towards net gain occurred consistently between early September and late October; the timing of the shift towards net loss was less consistent in spring, ranging from mid-February to mid-May. Daily evapotranspiration was primarily driven by net radiation and vapour pressure deficit. Surface moisture availability, as represented by water table depth, was a secondary control. Evapotranspiration tended to decline with increasing water table depth, with a slight flattening of the relation below a depth of about 0.058 m. The initial, more rapid, rate of decline is hypothesized to reflect a decrease of surface ponding and the decreased effect at greater depths to be associated with continued supply of water to the peat surface by capillary transport. Albedo increased from about 0.10 to 0.14 over each growing season, but the negative feedback on available energy for evapotranspiration at the peat surface was minimal. Net radiation did not vary substantially among years, and maximum seasonal water table drawdown appeared to be most strongly associated with growing season vapour pressure deficit, and was not correlated with the duration of seasonal net water loss to the atmosphere. In a climate change context, this study suggests that the ecohydrological response of ombrotrophic bogs will be most sensitive to changes in summertime vapour pressure deficit, which is projected to increase in the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".